• Week 6: Knowledge Engineering and Data Mining

    Ryan Baker discusses knowledge engineering and data mining for week 6 of DALMOOC.

    published: 12 Nov 2014
  • Is Data Science A Viable Career Path?

    I am doing a bachelor of computer science and have not yet chosen a discipline to major in. My lecturer mentioned the disciplines and one grabbed my attention: Data Science. He explained how data science is the future of technology and gave some examples. Do you believe that data science is the future and can you please explain what it is in a little more detail? -Abraham A. Schedule a Skype Meeting with Eli: https://silicondiscourse.com Podcasts of New Videos at SoundCloud: https://soundcloud.com/elithecomputerguy To Ask Questions Email: Question@EliTheComputerGuy.com For Classes, Class Notes and Blog Posts: http://www.EliTheComputerGuy.com Visit the Main YouTube Channel at: http://www.YouTube.com/EliTheComputerGuy Follow us on Twitter at: http://www.Twitter.com/EliComputerGuy ***...

    published: 04 Apr 2016
  • Top 10 High Paying Software Jobs - Check Out What It takes ?

    Top 10 High Paying Software Jobs - Check Out What It takes ? Watch this video to find out highest paying software jobs. If you're a software engineer, database admin, a data scientist, fronted developer, designer or a mobile developer, find how much is the average annual pay for your skill sets. #10 .Net Developer - $84,000 What It takes ? Programming expe in ASP .NET MVC Basic knowledge in Html,CSS Jquery/Java Scripts, Bootstrap Working knowledge of Databases MS SQL, Oracle, NoSql, mongoDB Creating setups and exe. # 09 Database Admin - $87,000 What It takes ? Understanding of structured query language (SQL) Experience with RDBMS Assist in database design Manage Databases Maritain security and integrity of databases Database Security Upgrades and Installs Deployment...

    published: 18 Jan 2017
  • FAU CEECS Data Mining and Machine Learning and Empirical Software Engineering Lab

    Florida Atlantic University Department of Computer and Electrical Engineering and Computer Science Data Mining and Machine Learning and Empirical Software Engineering Lab

    published: 14 Jul 2009
  • What is machine learning and how to learn it ?

    http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud de...

    published: 30 Jul 2017
  • Life Inside a Secret Chinese Bitcoin Mine

    Subscribe to Motherboard Radio today! http://apple.co/1DWdc9d In October of last year Motherboard gained access to a massive, secretive Bitcoin mine housed within a repurposed factory in the Liaoning Province in rural northeast China. This is the infrastructure that keeps the digital currency’s decentralized network up and running, and its operators are profiting big time. The mine we visited is just one of six sites owned by a secretive group of four people, part of a colossal mining operation that, as of our visit, cumulatively generated 4,050 bitcoins a month, equivalent to a monthly gross of $1.5 million. Read more on Motherboard - http://bit.ly/Chinese-Bitcoin-Mine Up Next: The Beaver Slayers of Patagonia - http://bit.ly/Beaver-Slayers Subscribe to MOTHERBOARD: http://bit.ly/S...

    published: 06 Feb 2015
  • Best Workstation Laptops - Best Engineering Laptops Available

    Like our Facebook Page for instant updates: https://www.facebook.com/incrediblestech Time for engineering...Top 5 workstation laptops for engineering students, artists, designers and hardcore official workers. http://bit.ly/subincredibles Some examples include AUTO CAD, AUTO DESK, VISUAL STUDIO, ANIMATIONS etc. These laptops are especially made for performance and heavy tasks. The prices of these laptops will be bit high. You can purchase them online and offline too. Amazon links are given below. The laptops are arranged in the video based on ratings and positive reviews. ***Please Consider HP ZBook G3 as well as it is worth buying. Unfortunately we missed it in the list. USA Links: HP ZBook G3: http://amzn.to/1SxA2P2 #1 DELL PRECISION 7000: http://dell.to/25h6ScU #2 LENOVO THINKPAD ...

    published: 26 Feb 2016
  • Kenneth Cukier: Big data is better data

    Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirecto...

    published: 23 Sep 2014
  • Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Edureka

    This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. Watch the entire video to get an idea of the 30 most frequently asked questions in Data Warehouse interviews. - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehouseInterviewQuestions #DataWarehouseConcepts #DataWarehouseTutorial Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during ...

    published: 14 Jul 2017
  • Predicting Stock Prices - Learn Python for Data Science #4

    In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine...

    published: 28 Oct 2016
  • Data Scientist Vs Actuary Which is better?

    A data scientist looks at storage of data, retrieval of data, mining data, visualising it, and extracting information from it. But how does this compare to an Actuary and which career path is better for you?

    published: 06 Jun 2017
  • What Is Data Engineering? explained in less than 3 minutes

    The work of data engineers can be characterized by the following: Programming Java C++ Python SQL Expertise Computer Science Software Engineering Data Architecture Technologies Massively Parallel Processing (MPP) Real-time process frameworks Hadoop / Map Reduce NoSQL databases

    published: 26 Apr 2015
  • Rob Story | Data Engineering Architecture at Simple

    PyData Chicago 2016 A walk through Simple's Data Engineering stack, including lessons learned and why we chose certain tools and languages for different parts of our infrastructure.

    published: 23 Sep 2016
  • Study: Mining Engineering

    Mining engineers play a key role in the planning, exploitation and excavation of mineral resources. Find out more on applying for the Bachelor of Science in Engineering – Mining (BScEng Mining) here: http://www.wits.ac.za/course-finder/undergraduate/ebe/mining-engineering/ Video Produced by Wits Commercial Productions

    published: 22 Sep 2016
  • We believe in the Power of Knowledge Engineering

    Everybody loves a solution. We believe every great solution is born from a really good problem. And at SKF there's nothing we love more. This film will take you on a journey inside the world of SKF. Learn more at http://www.skf.com/thepowerof Other videos: Technology has power - http://bit.ly/1rWsk31 The Power of service - http://bit.ly/1qx2HZ0 Meet our inventors, experts, and knowledge engineers -- our global team of close to 50,000 working in 40 different industries, with customers in 130 countries. It all comes down to what we call The Power of Knowledge Engineering. Since 1907, SKF has been changing the world through the power of knowledge and engineering. SKF makes everything from lubrication systems to mechatronics and our products & solutions can be found in almost anything that ...

    published: 30 Jun 2014
  • Data Mining with modeFRONTIER

    Data Mining is the process of analyzing a database from different perspectives: designs, statistical and distribution analysis charts, response surfaces algorithms and more allow the engineer to extract the benefit from often complex and hard to understand data. Information from complex numerical data, generated by parametric or optimization studies, can easily be projected onto sophisticated charts in modeFRONTIER’s Design Space, which is now available as the standalone application - modeSPACE – thus allowing efficient license and role management.

    published: 05 Apr 2017
  • Learning From Data (Data Mining) Presentation

    This video explain how data processes in machine and how the machine learn from human. Machine Learning Artificial Intelligence Data Mining Information Technology Data Techniques Technology 2017 Machine Learning Human learning Data Process Algorithms Learning Algorithms Machine Learning Algorithms

    published: 16 Jun 2016
  • What is knowledge engineering? - Department of Data Science and Knowledge Engineering

    Prof. Dr. Gerhard Weiss, chair of the Department of Data Science and Knowledge Engineering at Maastricht University, explains what knowledge engineering exactly is.

    published: 29 Feb 2016
  • Data Science Interview Questions | Data Science Tutorial | Data Science Interviews | Edureka

    This Data Science Interview Questions and Answers video will help you to prepare yourself for Data Science and Big Data Analytics interviews. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science, Big Data Analytics and Machine Learning. Below are the topics covered in this tutorial: 1. Data Science Job Trends 2. Data Science Interview Questions A. Statistics Questions B. Data Analytics Questions C. Machine Learning Questions D. Probability Questions 3. Conclusion Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #DataScienceInterviewQuestions #BigDataAnalytics #DataScienceTutorial #DataScienceTraining #D...

    published: 20 Jun 2017
  • How Much Math Does an IT Engineer Need to Learn for Data Science?

    This was from a self study IT engineer but read the comments in this article http://quantlabs.net/blog/2017/12/how-much-math-does-an-it-engineer-need-to-learn-for-data-science/

    published: 23 Dec 2017
  • Let’s Talk Big Data in manufacturing: transforming the industry and operations

    http://www.skf.com/group/our-company/letstalk How can we turn Big Data into Smart Data? What business models are needed? Should our data be open or closed? Hear what the experts are saying about how Big Data is transforming the manufacturing industry. Want to learn more? Watch the video. Here are the different topics covered: - Evolution of Big Data in industry 1:16 - Examples at work today 5:18 - How engineers are affected 10:10 - Open or closed data 11:31 - Predictions for the future 16:05 Read more about business models, Rolls-Royce and how the Internet of Things (IoT) transforms companies at http://www.ptc.com/go/hbr With 30 years of experience in diagnostics and analysis software, SKF knows the benefits of Big Data in Manufacturing. But just like many manufacturers, the diffi...

    published: 25 Jan 2016
  • Statistics & Data Analysis: Does It Have A Future?

    FREE COURSE - 5 Learning Mistakes Software Developers Make ◄ https://simpleprogrammer.com/learn-faster SUBSCRIBE TO THIS CHANNEL: vid.io/xokz Inevitable Book: https://simpleprogrammer.com/theinevitable Statistics & Data Analysis: Does It Have A Future? The process of evaluating data using analytical and logical reasoning to examine each component of the data provided is called data analysis or statistics. This form of analysis is just one of the many steps that must be completed when conducting a research experiment. Data from various sources is gathered, reviewed, and then analyzed to form some sort of finding or conclusion. There are a variety of specific data analysis method, some of which include data mining, text analytics, business intelligence, and data visualizations. (Source...

    published: 21 Apr 2017
  • Performing Analysis: Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

    We will cover Space-Time Pattern Mining techniques including aggregating your temporal data into a space-time cube, Emerging Hot Spot Analysis, Local Outlier Analysis, best practices for visualizing your space-time cube and strategies for interpreting and sharing your results.

    published: 04 Aug 2016
  • How to Build an Ethereum Mining Rig

    The meteoric rise of ethereum has fueled something of a gold rush for people looking to get in on the action by mining ether themselves. This requires building a custom “mining” computer from scratch, which isn’t quite as hard as it sounds. In this how-to video, Motherboard contributor Daniel Oberhaus walks you through the step-by-step instructions for building an ethereum mining rig from the ground up. By the end of the tutorial you’ll be well on your way to mining ether and contributing to the maintenance of the ethereum network with your own computing power. MATERIALS LIST: (1) MSI Z-170a Motherboard - http://fave.co/2vGI3LV (2) 470rx Gigabyte graphics processing units - http://fave.co/2h0XzyP (2) powered risers - http://fave.co/2h19X22 (8) ½ in. aluminum angles, cut to 14 inches...

    published: 26 Jul 2017
developed with YouTube
Week 6: Knowledge Engineering and Data Mining

Week 6: Knowledge Engineering and Data Mining

  • Order:
  • Duration: 8:32
  • Updated: 12 Nov 2014
  • views: 570
videos
Ryan Baker discusses knowledge engineering and data mining for week 6 of DALMOOC.
https://wn.com/Week_6_Knowledge_Engineering_And_Data_Mining
Is Data Science A Viable Career Path?

Is Data Science A Viable Career Path?

  • Order:
  • Duration: 7:35
  • Updated: 04 Apr 2016
  • views: 114245
videos
I am doing a bachelor of computer science and have not yet chosen a discipline to major in. My lecturer mentioned the disciplines and one grabbed my attention: Data Science. He explained how data science is the future of technology and gave some examples. Do you believe that data science is the future and can you please explain what it is in a little more detail? -Abraham A. Schedule a Skype Meeting with Eli: https://silicondiscourse.com Podcasts of New Videos at SoundCloud: https://soundcloud.com/elithecomputerguy To Ask Questions Email: Question@EliTheComputerGuy.com For Classes, Class Notes and Blog Posts: http://www.EliTheComputerGuy.com Visit the Main YouTube Channel at: http://www.YouTube.com/EliTheComputerGuy Follow us on Twitter at: http://www.Twitter.com/EliComputerGuy **********
https://wn.com/Is_Data_Science_A_Viable_Career_Path
Top 10 High Paying Software Jobs - Check Out What It takes ?

Top 10 High Paying Software Jobs - Check Out What It takes ?

  • Order:
  • Duration: 5:50
  • Updated: 18 Jan 2017
  • views: 265757
videos
Top 10 High Paying Software Jobs - Check Out What It takes ? Watch this video to find out highest paying software jobs. If you're a software engineer, database admin, a data scientist, fronted developer, designer or a mobile developer, find how much is the average annual pay for your skill sets. #10 .Net Developer - $84,000 What It takes ? Programming expe in ASP .NET MVC Basic knowledge in Html,CSS Jquery/Java Scripts, Bootstrap Working knowledge of Databases MS SQL, Oracle, NoSql, mongoDB Creating setups and exe. # 09 Database Admin - $87,000 What It takes ? Understanding of structured query language (SQL) Experience with RDBMS Assist in database design Manage Databases Maritain security and integrity of databases Database Security Upgrades and Installs Deployment strategies, failure protection #08 Fronted Developer - $92,000 What It takes ? Programming in HTML5 CSS3, JavaScript, Node.js Browser Developer Tools(Firefox, Chrome) Experience with Data Formats (e.g., JSON, XML) Content Management Systems(word-press, Blogger, Joomla etc..) Front End Frameworks RESTful Services and APIs Testing and Debugging Version Control Systems # 07 Mobile Developer - $96,000 What It takes ? Cross-platform Development,iOS, Android BlackBerry, Windows etc Good UX/UI Design Skills Programming knowledge Java, C#, Objective C /Swift, HTML5, PHP etc. Knowledge of Cross Platform Mobile Development Tools # 06 Java Developer - $96,500 What It takes ? OOPs Concepts Design Patterns Data Structures JVM Multi-threading and Synchronization Domain Knowledge Networking, Multi Media, Automobile, Finance JUnit testing, debugging, ANT Source Control (GIT, SVN, CVS etc..) Database Programming (SQL) #05 Software Engineer - $98,000 What It takes ? Programming Skills, C/C++, JAVA, PHP, Python, HTML5/CSS3, Ruby etc Knowledge of Source control Debugging skills problem solving Attention to Detail Teamwork Unit testing #04 DevOps Engineer - $106,000 What It takes ? Linux/Unix Administration coding and scripting in Python, PHP, Perl,Ruby Knowledge of opensource tools Experience with systems and IT operations Continuous Improvement (CI) Continuous Deployment, tools like Jenkins collaboration, open communication automation/configuration management # 03 Data Scientist - $115,000 What It takes ? Data mining methods Processing, cleansing, and verifying of data Great communication skills statistical programming language R or Python Database Querying language SQL, mongoDB Statistics, Multi variable Calculus and Linear algebra # 02 Software Architect - $128,500 What it takes ? Knowledge of various software architectures Resolve technical problems Technically competent Strong communicator Knowledge of core frameworks high level guidance and direction on project work Strong design experience # 01 Software Development Manager -$132,000 What it takes ? Managing Relationships Project Planning Process Control Negotiation Skills Vendor Management Presentation Skills Problem solving and decision making Knowledge of Domain,Development Cycles,Automation process, Quality Assurance,Release Management Team Staffing Administrative functions
https://wn.com/Top_10_High_Paying_Software_Jobs_Check_Out_What_It_Takes
What is machine learning and how to learn it ?

What is machine learning and how to learn it ?

  • Order:
  • Duration: 12:09
  • Updated: 30 Jul 2017
  • views: 251258
videos
http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud detection? One of the more obvious, important uses in our world today. fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com
https://wn.com/What_Is_Machine_Learning_And_How_To_Learn_It
Life Inside a Secret Chinese Bitcoin Mine

Life Inside a Secret Chinese Bitcoin Mine

  • Order:
  • Duration: 9:17
  • Updated: 06 Feb 2015
  • views: 3656477
videos
Subscribe to Motherboard Radio today! http://apple.co/1DWdc9d In October of last year Motherboard gained access to a massive, secretive Bitcoin mine housed within a repurposed factory in the Liaoning Province in rural northeast China. This is the infrastructure that keeps the digital currency’s decentralized network up and running, and its operators are profiting big time. The mine we visited is just one of six sites owned by a secretive group of four people, part of a colossal mining operation that, as of our visit, cumulatively generated 4,050 bitcoins a month, equivalent to a monthly gross of $1.5 million. Read more on Motherboard - http://bit.ly/Chinese-Bitcoin-Mine Up Next: The Beaver Slayers of Patagonia - http://bit.ly/Beaver-Slayers Subscribe to MOTHERBOARD: http://bit.ly/Subscribe-To-MOTHERBOARD Follow MOTHERBOARD Facebook: http://www.facebook.com/motherboardtv Twitter: http://twitter.com/motherboard Tumblr: http://motherboardtv.tumblr.com/ Instagram: http://instagram.com/motherboardtv More videos from the VICE network: https://www.fb.com/vicevideos
https://wn.com/Life_Inside_A_Secret_Chinese_Bitcoin_Mine
Best Workstation Laptops  - Best Engineering Laptops Available

Best Workstation Laptops - Best Engineering Laptops Available

  • Order:
  • Duration: 8:44
  • Updated: 26 Feb 2016
  • views: 596138
videos
Like our Facebook Page for instant updates: https://www.facebook.com/incrediblestech Time for engineering...Top 5 workstation laptops for engineering students, artists, designers and hardcore official workers. http://bit.ly/subincredibles Some examples include AUTO CAD, AUTO DESK, VISUAL STUDIO, ANIMATIONS etc. These laptops are especially made for performance and heavy tasks. The prices of these laptops will be bit high. You can purchase them online and offline too. Amazon links are given below. The laptops are arranged in the video based on ratings and positive reviews. ***Please Consider HP ZBook G3 as well as it is worth buying. Unfortunately we missed it in the list. USA Links: HP ZBook G3: http://amzn.to/1SxA2P2 #1 DELL PRECISION 7000: http://dell.to/25h6ScU #2 LENOVO THINKPAD W550S: http://amzn.to/1OzyP4E #3 LENOVO THINKPAD P SERIES: http://amzn.to/20sJg0T #4 MSI WS72: http://amzn.to/1QhBW6N #5 MSI PX60: http://amzn.to/1Ozz4g9 ****INTERNATIONAL LINKS **** #1 DELL PRECISION 7000: http://dell.to/25h6ScU #2 LENOVO THINKPAD W550S: http://geni.us/kAFli #3 LENOVO THINKPAD P SERIES: http://geni.us/dyzB #4 MSI WS72: http://geni.us/ImP1w #5 MSI PX60: http://geni.us/XqBV1z #* HP ZBook G3: http://geni.us/CBkp Best Affordable High Performance Gaming laptops: Acer E15: http://amzn.to/2cnj9cU Lenovo Y700: http://amzn.to/2cnjvR3 Best Ultra High Performance/Gaming Laptop: MSI GT72: http://amzn.to/2c7l9FW We need your Support to move on. So Please Support us by Subscribing: SUBSCRIBE: http://bit.ly/subincredibles Follow us on Instagram - http://bit.ly/incredinsta (We post awesome gadget photos!) -~-~~-~~~-~~-~- Please watch: "5 ROBOTS You Long For #3" https://www.youtube.com/watch?v=INHpPQ5qqFs -~-~~-~~~-~~-~-
https://wn.com/Best_Workstation_Laptops_Best_Engineering_Laptops_Available
Kenneth Cukier: Big data is better data

Kenneth Cukier: Big data is better data

  • Order:
  • Duration: 15:56
  • Updated: 23 Sep 2014
  • views: 248294
videos
Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
https://wn.com/Kenneth_Cukier_Big_Data_Is_Better_Data
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Edureka

Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Edureka

  • Order:
  • Duration: 1:22:36
  • Updated: 14 Jul 2017
  • views: 18772
videos
This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. Watch the entire video to get an idea of the 30 most frequently asked questions in Data Warehouse interviews. - - - - - - - - - - - - - - Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt. #DataWarehouseInterviewQuestions #DataWarehouseConcepts #DataWarehouseTutorial Subscribe to our channel to get video updates. Hit the subscribe button above. - - - - - - - - - - - - - - How it Works? 1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course: Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like: 1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations 2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards 3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Data warehousing enthusiasts 2. Analytics Managers 3. Data Modelers 4. ETL Developers and BI Developers - - - - - - - - - - - - - - Why learn Data Warehousing and Business Intelligence? All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success. With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin. - - - - - - - - - - - - - - Please write back to us at sales@edureka.co or call us at +91 90660 20866 for more information. Website: https://www.edureka.co/data-warehousing-and-bi Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - Customer Review: Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
https://wn.com/Data_Warehouse_Interview_Questions_And_Answers_|_Data_Warehouse_Tutorial_|_Edureka
Predicting Stock Prices - Learn Python for Data Science #4

Predicting Stock Prices - Learn Python for Data Science #4

  • Order:
  • Duration: 7:39
  • Updated: 28 Oct 2016
  • views: 299026
videos
In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/ This guy made 500K doing ML stuff with stocks: http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft Please share this video, like, comment and subscribe! That's what keeps me going. and please support me on Patreon!: https://www.patreon.com/user?u=3191693 Check out this youtube channel for some more cool Python tutorials: https://www.youtube.com/watch?v=RZF17FfRIIo Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajologyyy Instagram: https://www.instagram.com/llsourcell/
https://wn.com/Predicting_Stock_Prices_Learn_Python_For_Data_Science_4
Data Scientist Vs Actuary  Which is better?

Data Scientist Vs Actuary Which is better?

  • Order:
  • Duration: 5:29
  • Updated: 06 Jun 2017
  • views: 8968
videos
A data scientist looks at storage of data, retrieval of data, mining data, visualising it, and extracting information from it. But how does this compare to an Actuary and which career path is better for you?
https://wn.com/Data_Scientist_Vs_Actuary_Which_Is_Better
What Is Data Engineering? explained in less than 3 minutes

What Is Data Engineering? explained in less than 3 minutes

  • Order:
  • Duration: 2:50
  • Updated: 26 Apr 2015
  • views: 11311
videos
The work of data engineers can be characterized by the following: Programming Java C++ Python SQL Expertise Computer Science Software Engineering Data Architecture Technologies Massively Parallel Processing (MPP) Real-time process frameworks Hadoop / Map Reduce NoSQL databases
https://wn.com/What_Is_Data_Engineering_Explained_In_Less_Than_3_Minutes
Rob Story | Data Engineering Architecture at Simple

Rob Story | Data Engineering Architecture at Simple

  • Order:
  • Duration: 34:07
  • Updated: 23 Sep 2016
  • views: 2953
videos
PyData Chicago 2016 A walk through Simple's Data Engineering stack, including lessons learned and why we chose certain tools and languages for different parts of our infrastructure.
https://wn.com/Rob_Story_|_Data_Engineering_Architecture_At_Simple
Study: Mining Engineering

Study: Mining Engineering

  • Order:
  • Duration: 4:27
  • Updated: 22 Sep 2016
  • views: 13520
videos
Mining engineers play a key role in the planning, exploitation and excavation of mineral resources. Find out more on applying for the Bachelor of Science in Engineering – Mining (BScEng Mining) here: http://www.wits.ac.za/course-finder/undergraduate/ebe/mining-engineering/ Video Produced by Wits Commercial Productions
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We believe in the Power of Knowledge Engineering

We believe in the Power of Knowledge Engineering

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  • Duration: 7:55
  • Updated: 30 Jun 2014
  • views: 42807
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Everybody loves a solution. We believe every great solution is born from a really good problem. And at SKF there's nothing we love more. This film will take you on a journey inside the world of SKF. Learn more at http://www.skf.com/thepowerof Other videos: Technology has power - http://bit.ly/1rWsk31 The Power of service - http://bit.ly/1qx2HZ0 Meet our inventors, experts, and knowledge engineers -- our global team of close to 50,000 working in 40 different industries, with customers in 130 countries. It all comes down to what we call The Power of Knowledge Engineering. Since 1907, SKF has been changing the world through the power of knowledge and engineering. SKF makes everything from lubrication systems to mechatronics and our products & solutions can be found in almost anything that rolls or moves, from space shuttles to skateboards. Visit us at http://www.skf.com. Don't forget to subscribe to our YouTube channel or like us on Facebook http://www.facebook.com/SKFGroup for daily updates.
https://wn.com/We_Believe_In_The_Power_Of_Knowledge_Engineering
Data Mining with modeFRONTIER

Data Mining with modeFRONTIER

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  • Duration: 23:40
  • Updated: 05 Apr 2017
  • views: 143
videos
Data Mining is the process of analyzing a database from different perspectives: designs, statistical and distribution analysis charts, response surfaces algorithms and more allow the engineer to extract the benefit from often complex and hard to understand data. Information from complex numerical data, generated by parametric or optimization studies, can easily be projected onto sophisticated charts in modeFRONTIER’s Design Space, which is now available as the standalone application - modeSPACE – thus allowing efficient license and role management.
https://wn.com/Data_Mining_With_Modefrontier
Learning From Data (Data Mining) Presentation

Learning From Data (Data Mining) Presentation

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  • Duration: 27:48
  • Updated: 16 Jun 2016
  • views: 372
videos
This video explain how data processes in machine and how the machine learn from human. Machine Learning Artificial Intelligence Data Mining Information Technology Data Techniques Technology 2017 Machine Learning Human learning Data Process Algorithms Learning Algorithms Machine Learning Algorithms
https://wn.com/Learning_From_Data_(Data_Mining)_Presentation
What is knowledge engineering? - Department of Data Science and Knowledge Engineering

What is knowledge engineering? - Department of Data Science and Knowledge Engineering

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  • Duration: 2:23
  • Updated: 29 Feb 2016
  • views: 1954
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Prof. Dr. Gerhard Weiss, chair of the Department of Data Science and Knowledge Engineering at Maastricht University, explains what knowledge engineering exactly is.
https://wn.com/What_Is_Knowledge_Engineering_Department_Of_Data_Science_And_Knowledge_Engineering
Data Science Interview Questions | Data Science Tutorial | Data Science Interviews | Edureka

Data Science Interview Questions | Data Science Tutorial | Data Science Interviews | Edureka

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  • Duration: 1:22:50
  • Updated: 20 Jun 2017
  • views: 17395
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This Data Science Interview Questions and Answers video will help you to prepare yourself for Data Science and Big Data Analytics interviews. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science, Big Data Analytics and Machine Learning. Below are the topics covered in this tutorial: 1. Data Science Job Trends 2. Data Science Interview Questions A. Statistics Questions B. Data Analytics Questions C. Machine Learning Questions D. Probability Questions 3. Conclusion Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #DataScienceInterviewQuestions #BigDataAnalytics #DataScienceTutorial #DataScienceTraining #Datascience #Edureka How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at sales@edureka.co or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best."
https://wn.com/Data_Science_Interview_Questions_|_Data_Science_Tutorial_|_Data_Science_Interviews_|_Edureka
How Much Math Does an IT Engineer Need to Learn for Data Science?

How Much Math Does an IT Engineer Need to Learn for Data Science?

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  • Duration: 2:03
  • Updated: 23 Dec 2017
  • views: 53
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This was from a self study IT engineer but read the comments in this article http://quantlabs.net/blog/2017/12/how-much-math-does-an-it-engineer-need-to-learn-for-data-science/
https://wn.com/How_Much_Math_Does_An_It_Engineer_Need_To_Learn_For_Data_Science
Let’s Talk Big Data in manufacturing: transforming the industry and operations

Let’s Talk Big Data in manufacturing: transforming the industry and operations

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  • Duration: 21:01
  • Updated: 25 Jan 2016
  • views: 11880
videos
http://www.skf.com/group/our-company/letstalk How can we turn Big Data into Smart Data? What business models are needed? Should our data be open or closed? Hear what the experts are saying about how Big Data is transforming the manufacturing industry. Want to learn more? Watch the video. Here are the different topics covered: - Evolution of Big Data in industry 1:16 - Examples at work today 5:18 - How engineers are affected 10:10 - Open or closed data 11:31 - Predictions for the future 16:05 Read more about business models, Rolls-Royce and how the Internet of Things (IoT) transforms companies at http://www.ptc.com/go/hbr With 30 years of experience in diagnostics and analysis software, SKF knows the benefits of Big Data in Manufacturing. But just like many manufacturers, the difficulty today is to find ways to turn big data into smart data and create the most value. Find out where industry is heading in this digitalized world. Let’s Talk Big Data and get some answers. #LetsTalkBigData SKF is changing the world through the power of knowledge and engineering. SKF started in 1907 as a bearing company, but today we make everything from lubrication systems to mechatronics. You can find our products & solutions in almost anything that rolls or moves, from space shuttles to skateboards. Subscribe: Don’t forget to subscribe to our YouTube channel and like us on Facebook http://www.facebook.com/SKFGroup for daily updates.
https://wn.com/Let’S_Talk_Big_Data_In_Manufacturing_Transforming_The_Industry_And_Operations
Statistics & Data Analysis: Does It Have A Future?

Statistics & Data Analysis: Does It Have A Future?

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  • Duration: 3:40
  • Updated: 21 Apr 2017
  • views: 5996
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FREE COURSE - 5 Learning Mistakes Software Developers Make ◄ https://simpleprogrammer.com/learn-faster SUBSCRIBE TO THIS CHANNEL: vid.io/xokz Inevitable Book: https://simpleprogrammer.com/theinevitable Statistics & Data Analysis: Does It Have A Future? The process of evaluating data using analytical and logical reasoning to examine each component of the data provided is called data analysis or statistics. This form of analysis is just one of the many steps that must be completed when conducting a research experiment. Data from various sources is gathered, reviewed, and then analyzed to form some sort of finding or conclusion. There are a variety of specific data analysis method, some of which include data mining, text analytics, business intelligence, and data visualizations. (Source: http://www.businessdictionary.com/definition/data-analysis.html) As you know, we are gathering more and more data each new year. As our society develops, more data is stored and more it needs interpretation. Doest it has a future? Or is it a lost case? Watch this video and find out! If you have a question, email me at john@simpleprogrammer.com If you liked this video, share, like and, of course, subscribe! Subscribe To My YouTube Channel: http://bit.ly/1zPTNLT Visit Simple Programmer Website: http://simpleprogrammer.com/ Connect with me on social media: Facebook: https://www.facebook.com/SimpleProgrammer Twitter: https://twitter.com/jsonmez Other Links: Sign up for the Simple Programmer Newsletter: http://simpleprogrammer.com/email Simple Programmer blog: http://simpleprogrammer.com/blog Learn how to learn anything quickly: http://10stepstolearn.com Boost your career now: http://devcareerboost.com
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Performing Analysis: Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

Performing Analysis: Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

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  • Duration: 1:23:19
  • Updated: 04 Aug 2016
  • views: 3804
videos
We will cover Space-Time Pattern Mining techniques including aggregating your temporal data into a space-time cube, Emerging Hot Spot Analysis, Local Outlier Analysis, best practices for visualizing your space-time cube and strategies for interpreting and sharing your results.
https://wn.com/Performing_Analysis_Spatial_Data_Mining_Ii_A_Deep_Dive_Into_Space_Time_Analysis
How to Build an Ethereum Mining Rig

How to Build an Ethereum Mining Rig

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  • Duration: 6:06
  • Updated: 26 Jul 2017
  • views: 216379
videos
The meteoric rise of ethereum has fueled something of a gold rush for people looking to get in on the action by mining ether themselves. This requires building a custom “mining” computer from scratch, which isn’t quite as hard as it sounds. In this how-to video, Motherboard contributor Daniel Oberhaus walks you through the step-by-step instructions for building an ethereum mining rig from the ground up. By the end of the tutorial you’ll be well on your way to mining ether and contributing to the maintenance of the ethereum network with your own computing power. MATERIALS LIST: (1) MSI Z-170a Motherboard - http://fave.co/2vGI3LV (2) 470rx Gigabyte graphics processing units - http://fave.co/2h0XzyP (2) powered risers - http://fave.co/2h19X22 (8) ½ in. aluminum angles, cut to 14 inches - http://fave.co/2h1a1P8 (5) ½ in. aluminum angles, cut to 24 inches - http://fave.co/2h1a1P8 (3) 1x2 wooden blocks - http://fave.co/2h1uyTJ (1) 1000 watt Corsair power supply unit - http://fave.co/2vH129p (1) Intel Celeron G3900 central processing unit - http://fave.co/2h132pH (1) 4 GB stick of RAM - http://fave.co/2vGLcvc (1) power switch - http://fave.co/2h0y0hE (1) ethernet cable - http://fave.co/2h1diOs (1) 16 GB USB stick - http://fave.co/2vGJMkk (1) computer monitor - http://fave.co/2vH9y8i (1) computer keyboard - http://fave.co/2vGPIK6 (1) computer mouse - http://fave.co/2h1iGRC (1) pack of zipties - http://fave.co/2h11I69 (36) self-driving screws - http://fave.co/2vGLjXP Disclosures: VICE Media earns a small commission on products sold through these links. Daniel Oberhaus owns and mines ethereum. Credit: The Noun Project Subscribe to MOTHERBOARD: http://bit.ly/Subscribe-To-MOTHERBOARD Follow MOTHERBOARD Facebook: http://www.facebook.com/motherboardtv Twitter: http://twitter.com/motherboard Tumblr: http://motherboardtv.tumblr.com/ Instagram: http://instagram.com/motherboardtv More videos from the VICE network: https://www.fb.com/vicevideo
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