• 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
  • 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
  • Maximize Plant Performance: Data Mining to Implement a Better O&M Strategy

    In this webinar AWS Truepower President, Dr. Bruce Bailey, and Chief Engineer, Daniel Bernadett, discuss how performance issues can be addressed through diagnostic data mining. They share a case study demonstrating how the implementation of diagnostic techniques led to increased overall performance at a wind facility by modifying the operations and maintenance strategy.

    published: 15 Jul 2014
  • Engineer Heavy Gun Weapon Models ► Wildstar ► Galaxy Library Datamined

    Today we're doing a bit of noobie data mining to take a look at all of the different Engineer heavy gun models found within Wildstar. We'll look at all the high end and low end heavy gun weapons currently in the game so you can see how bad ass your future Wildstar Engineer will be! Oh yeah. Download Galaxy Library for yourself: http://www.curse.com/ws-addons/wildstar/220109-galaxy-library See more of my content: Subscribe ► http://bit.ly/11oGJFf Ask me a question or suggest a video: Twitter ► https://twitter.com/fevirgaming Connect with me on: G+ ► http://google.com/+FevirGaming Be my bro: Buy me a Beer ► http://bit.ly/176UTOk If you are looking for more helpful Wildstar videos showcasing guides, helpful information and the like. Check out more Wildstar Primers! Wildstar Primer P...

    published: 05 Apr 2014
  • 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
  • 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
  • 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
  • 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
  • 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
  • What do Data Warehouse and Business Intelligence do

    A fun way to explain my job as a Data Warehouse and Business Intelligence engineer

    published: 31 May 2015
  • 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
  • Introduction to Reliability Engineering

    This is an introductory course to the subject matter in the field of Reliability Engineering. During this four-day course participants will review the basics of reliability, the fundamentals of reliability engineering, and the relationship between reliability, maintenance and operations. Students will learn about reliability theory, tools and techniques such as risk management, data mining, Bad Actors, life data distribution analysis, RCA, RCM, criticality, etc. In addition Weibull analysis, Reliability Growth (Crow-AMSAA) and Production Analysis will be reviewed and the foundational concepts and tools will be applied in hand-on exercises to demonstrate and reinforce best practice. The overall course objective it to introduce students to the basics of reliability engineering and equip ...

    published: 18 Feb 2016
  • 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
  • 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
  • Security and Data Protection in a Google Data Center

    This video tour of a Google data center highlights the security and data protections that are in place at our data centers.

    published: 18 Sep 2013
  • Data Analytics in Virtual Reality… Because Why Not?

    Goodness gracious, great walls of data! Looker's engineering team is always pushing the boundaries to find new and exciting ways to explore data, even in Virtual Reality. Join Looker engineer Wil Gieseler on a journey through the virtual world of data in LookVR. Explore data tables, virtual scatter plots, data lakes, mounds of money, and mountains of live data, all made possible through Looker's API. Learn more about how you can start exploring at: looker.com/vr

    published: 08 Feb 2017
  • 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
  • How I hacked online dating | Amy Webb

    Amy Webb was having no luck with online dating. The dates she liked didn't write her back, and her own profile attracted crickets (and worse). So, as any fan of data would do: she started making a spreadsheet. Hear the story of how she went on to hack her online dating life -- with frustrating, funny and life-changing results. 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 ...

    published: 02 Oct 2013
  • Engineering Data Analysis (with R and ggplot2)

    Google Tech Talk (more info below) June 6, 2011 Presented by Hadley Wickham, Assistant Professor, Dobelman Family Junior Chair, Department of Statistics, Rice University. ABSTRACT Data analysis, the process of converting data into knowledge, insight and understanding, is a critical part of statistics, but there's surprisingly little research on it. In this talk I'll introduce some of my recent work, including a model of data analysis. I'm a passionate advocate of programming that data analysis should be carried out using a programming language, and I'll justify this by discussing some of the requirement of good data analysis (reproducibility, automation and communication). With these in mind, I'll introduce you to a powerful set of tools for better understanding data: the statist...

    published: 14 Jun 2011
  • 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
  • Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU

    The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu....

    published: 13 Dec 2016
  • Explaining the Difference Between Machine Learning and Artificial Intelligence

    'Machine learning' is a term that has been used in our industry since the early days of programmatic, and more recently 'artificial intelligence' is being used, partly because it is much-discussed term in other parts of the tech world, but also because it accurately describes what some ad technology companies in the industry are doing. However, the two terms shouldn't be used interchangeably, as John Trenkle, TubeMogul's Chief Scientist, explains here. Trenkle himself has 30 years of experience in machine learning, during which time he has worked on everything from developing advanced data mining capabilities for NASA right through to developing systems that can recognise license plates in Arabic. Filmed at TubeMogul's headquarters in Emeryville, California.

    published: 21 Jan 2016
  • Use Data Visualization to reverse engineer constraints from your data

    Learn how the Test Data Visualizer from CA Test Data Manager can be used to accurately model the combinations of data values found in a database or live message traffic. De-duplication and automated rule-learning from CA Agile Requirements Designer can then be used to reverse-engineer a flowchart of what variables exist, and how they relate. The exact data needed for testing can be quickly identified and technical debt can be paid off, gaining an in-depth understanding of how data flows through a system. For more information on the Test Data Visualizer, please watch https://www.brighttalk.com/webcast/9305/186679

    published: 11 Apr 2016
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: 541
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: 103864
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
Maximize Plant Performance: Data Mining to Implement a Better O&M Strategy

Maximize Plant Performance: Data Mining to Implement a Better O&M Strategy

  • Order:
  • Duration: 34:32
  • Updated: 15 Jul 2014
  • views: 540
videos
In this webinar AWS Truepower President, Dr. Bruce Bailey, and Chief Engineer, Daniel Bernadett, discuss how performance issues can be addressed through diagnostic data mining. They share a case study demonstrating how the implementation of diagnostic techniques led to increased overall performance at a wind facility by modifying the operations and maintenance strategy.
https://wn.com/Maximize_Plant_Performance_Data_Mining_To_Implement_A_Better_O_M_Strategy
Engineer Heavy Gun Weapon Models ► Wildstar ► Galaxy Library Datamined

Engineer Heavy Gun Weapon Models ► Wildstar ► Galaxy Library Datamined

  • Order:
  • Duration: 2:44
  • Updated: 05 Apr 2014
  • views: 6231
videos
Today we're doing a bit of noobie data mining to take a look at all of the different Engineer heavy gun models found within Wildstar. We'll look at all the high end and low end heavy gun weapons currently in the game so you can see how bad ass your future Wildstar Engineer will be! Oh yeah. Download Galaxy Library for yourself: http://www.curse.com/ws-addons/wildstar/220109-galaxy-library See more of my content: Subscribe ► http://bit.ly/11oGJFf Ask me a question or suggest a video: Twitter ► https://twitter.com/fevirgaming Connect with me on: G+ ► http://google.com/+FevirGaming Be my bro: Buy me a Beer ► http://bit.ly/176UTOk If you are looking for more helpful Wildstar videos showcasing guides, helpful information and the like. Check out more Wildstar Primers! Wildstar Primer Playlist ► https://www.youtube.com/playlist?list=PLwqmJc2W13VSuH09CArPhX_N88t1BYxZ1
https://wn.com/Engineer_Heavy_Gun_Weapon_Models_►_Wildstar_►_Galaxy_Library_Datamined
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: 223939
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
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: 255875
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
Let’s Talk Big Data in manufacturing: transforming the industry and operations

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

  • Order:
  • Duration: 21:01
  • Updated: 25 Jan 2016
  • views: 11025
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
Best Workstation Laptops  - Best Engineering Laptops Available

Best Workstation Laptops - Best Engineering Laptops Available

  • Order:
  • Duration: 8:44
  • Updated: 26 Feb 2016
  • views: 556433
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
Life Inside a Secret Chinese Bitcoin Mine

Life Inside a Secret Chinese Bitcoin Mine

  • Order:
  • Duration: 9:17
  • Updated: 06 Feb 2015
  • views: 3226206
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
What do Data Warehouse and Business Intelligence do

What do Data Warehouse and Business Intelligence do

  • Order:
  • Duration: 3:20
  • Updated: 31 May 2015
  • views: 7152
videos
A fun way to explain my job as a Data Warehouse and Business Intelligence engineer
https://wn.com/What_Do_Data_Warehouse_And_Business_Intelligence_Do
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

  • Order:
  • Duration: 1:23:19
  • Updated: 04 Aug 2016
  • views: 3492
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
Introduction to Reliability Engineering

Introduction to Reliability Engineering

  • Order:
  • Duration: 1:18
  • Updated: 18 Feb 2016
  • views: 1725
videos
This is an introductory course to the subject matter in the field of Reliability Engineering. During this four-day course participants will review the basics of reliability, the fundamentals of reliability engineering, and the relationship between reliability, maintenance and operations. Students will learn about reliability theory, tools and techniques such as risk management, data mining, Bad Actors, life data distribution analysis, RCA, RCM, criticality, etc. In addition Weibull analysis, Reliability Growth (Crow-AMSAA) and Production Analysis will be reviewed and the foundational concepts and tools will be applied in hand-on exercises to demonstrate and reinforce best practice. The overall course objective it to introduce students to the basics of reliability engineering and equip them to apply common reliability tools to real world problems.
https://wn.com/Introduction_To_Reliability_Engineering
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: 10033
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
What is knowledge engineering? - Department of Data Science and Knowledge Engineering

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

  • Order:
  • Duration: 2:23
  • Updated: 29 Feb 2016
  • views: 1679
videos
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
Security and Data Protection in a Google Data Center

Security and Data Protection in a Google Data Center

  • Order:
  • Duration: 7:01
  • Updated: 18 Sep 2013
  • views: 161578
videos
This video tour of a Google data center highlights the security and data protections that are in place at our data centers.
https://wn.com/Security_And_Data_Protection_In_A_Google_Data_Center
Data Analytics in Virtual Reality… Because Why Not?

Data Analytics in Virtual Reality… Because Why Not?

  • Order:
  • Duration: 4:17
  • Updated: 08 Feb 2017
  • views: 15420
videos
Goodness gracious, great walls of data! Looker's engineering team is always pushing the boundaries to find new and exciting ways to explore data, even in Virtual Reality. Join Looker engineer Wil Gieseler on a journey through the virtual world of data in LookVR. Explore data tables, virtual scatter plots, data lakes, mounds of money, and mountains of live data, all made possible through Looker's API. Learn more about how you can start exploring at: looker.com/vr
https://wn.com/Data_Analytics_In_Virtual_Reality…_Because_Why_Not
Data Scientist Vs Actuary  Which is better?

Data Scientist Vs Actuary Which is better?

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  • Duration: 5:29
  • Updated: 06 Jun 2017
  • views: 6984
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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
How I hacked online dating | Amy Webb

How I hacked online dating | Amy Webb

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  • Duration: 17:28
  • Updated: 02 Oct 2013
  • views: 2705573
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Amy Webb was having no luck with online dating. The dates she liked didn't write her back, and her own profile attracted crickets (and worse). So, as any fan of data would do: she started making a spreadsheet. Hear the story of how she went on to hack her online dating life -- with frustrating, funny and life-changing results. 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/How_I_Hacked_Online_Dating_|_Amy_Webb
Engineering Data Analysis (with R and ggplot2)

Engineering Data Analysis (with R and ggplot2)

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  • Duration: 58:35
  • Updated: 14 Jun 2011
  • views: 81420
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Google Tech Talk (more info below) June 6, 2011 Presented by Hadley Wickham, Assistant Professor, Dobelman Family Junior Chair, Department of Statistics, Rice University. ABSTRACT Data analysis, the process of converting data into knowledge, insight and understanding, is a critical part of statistics, but there's surprisingly little research on it. In this talk I'll introduce some of my recent work, including a model of data analysis. I'm a passionate advocate of programming that data analysis should be carried out using a programming language, and I'll justify this by discussing some of the requirement of good data analysis (reproducibility, automation and communication). With these in mind, I'll introduce you to a powerful set of tools for better understanding data: the statistical programming language R, and the ggplot2 domain specific language (DSL) for visualisation.
https://wn.com/Engineering_Data_Analysis_(With_R_And_Ggplot2)
What is machine learning and how to learn it ?

What is machine learning and how to learn it ?

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  • Duration: 12:09
  • Updated: 30 Jul 2017
  • views: 159156
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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
Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU

Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU

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  • Duration: 1:38
  • Updated: 13 Dec 2016
  • views: 661
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The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu.ac.il/global
https://wn.com/Data_Mining_And_Business_Intelligence_For_Cyber_Security_Applications_Summer_Program_At_Bgu
Explaining the Difference Between Machine Learning and Artificial Intelligence

Explaining the Difference Between Machine Learning and Artificial Intelligence

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  • Duration: 3:28
  • Updated: 21 Jan 2016
  • views: 10851
videos
'Machine learning' is a term that has been used in our industry since the early days of programmatic, and more recently 'artificial intelligence' is being used, partly because it is much-discussed term in other parts of the tech world, but also because it accurately describes what some ad technology companies in the industry are doing. However, the two terms shouldn't be used interchangeably, as John Trenkle, TubeMogul's Chief Scientist, explains here. Trenkle himself has 30 years of experience in machine learning, during which time he has worked on everything from developing advanced data mining capabilities for NASA right through to developing systems that can recognise license plates in Arabic. Filmed at TubeMogul's headquarters in Emeryville, California.
https://wn.com/Explaining_The_Difference_Between_Machine_Learning_And_Artificial_Intelligence
Use Data Visualization to reverse engineer constraints from your data

Use Data Visualization to reverse engineer constraints from your data

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  • Duration: 9:07
  • Updated: 11 Apr 2016
  • views: 1090
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Learn how the Test Data Visualizer from CA Test Data Manager can be used to accurately model the combinations of data values found in a database or live message traffic. De-duplication and automated rule-learning from CA Agile Requirements Designer can then be used to reverse-engineer a flowchart of what variables exist, and how they relate. The exact data needed for testing can be quickly identified and technical debt can be paid off, gaining an in-depth understanding of how data flows through a system. For more information on the Test Data Visualizer, please watch https://www.brighttalk.com/webcast/9305/186679
https://wn.com/Use_Data_Visualization_To_Reverse_Engineer_Constraints_From_Your_Data
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