• Week 6: Knowledge Engineering and Data Mining

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

    published: 12 Nov 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
  • 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
  • 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
  • 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
  • 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
  • The Right Stuff: Lessons Learned from a Decade of Data Engineering

    Recorded at DataEngConf SF17 in April, 2017. With more than a decade of Big Data experience now behind us, we’ll talk with a few veterans from the front lines about what skills mattered — and what didn't — on the first data engineering teams at Silicon Valley’s data-intensive start-ups. This will be a must-watch panel for those looking to build out a data-engineering function or get into the field themselves. We’ll explore the build vs. buy debate, looking at which classes of software teams hand-rolled, borrowed (and extended) from open-source projects, or bought - and discuss how that mix is changing. We’ll learn about the hardest parts of data pipelines and the data stack to build. And we’ll highlight the necessary skills that make data engineers different than data scientists.

    published: 03 Jun 2017
  • Techniques to improve the accuracy of your Predictive Models

    Code from talk: http://anotherdataminingblog.blogspot.com.au/2013/10/techniques-to-improve-accuracy-of-your_17.html The Heritage Health Prize was a two year predictive analytics competition that recently concluded, and Melbourne based Phil Brierley was the P in POWERDOT, the 'winning' team. In this talk Phil will share some* of the tips and tricks for building accurate predictive models (hopefully with some 'live' demonstrations using R) and tell the POWERDOT story. *Note: The competition is ongoing - so don't expect to learn everything ;-) By education, Phil Brierley is a Mechanical Engineer and became involved in predictive analytics during his doctorate where he developed intelligent control systems using neural networks. Phil is the owner of Tiberius Data Mining where he develops t...

    published: 17 Oct 2013
  • DataScience@SMU– Course Overview: Data Mining

    DataScience@SMUCourse Overview: Data Mining

    published: 14 Mar 2016
  • Day in the Life - Validation Engineer

    Roja shares her experience as a recent college graduate and validation engineer at TI.

    published: 15 Aug 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
  • 27c3: Three jobs that journalists will do in 2050 (en)

    Speaker: Annalee Newitz Why future media may be more powerful (and more subversive) than ever before Print media are dying, but what is rising up to take their place? In this presentation, I'll answer that question by describing three new kinds of jobs for journalists that do not exist in mainstream print media. These jobs are: hacker journalist, data-mining reporter, and crowd engineer. I'll be describing what these jobs entail, and current examples of organizations already employing people to do them. My observations in this presentation are based on the nearly twenty years I have written for traditional print as well as new media publications, including zines like Bad Subjects and 2600, as well as mainstream media outlets like Wired and the Washington Post. I also created io9.com, th...

    published: 06 Jan 2011
  • Dhawal S, Lead Data Engineer

    Dhawal shares more about his role as a lead data engineer on Target’s personalization team and what excites him about his team, projects and working at Target.

    published: 29 Mar 2017
  • Data Mining: Die intelligente Nutzung von Big Data

    Data Mining ist die Technik um strategische Informationen aus Big Data zu extrahieren. eoda Chief Data Scientist Oliver Bracht erklärt die Grundlagen des Data Mining und das Vorgehen anhand von branchenübergreifenden Use Cases aus Industrie, Vertrieb und Marketing. Darüber hinaus gibt Bracht Handlungsempfehlungen für Unternehmen, die Big Data für sich nutzen wollen. Das Video ist entstanden im Rahmen eines Vortrags bei der German Graduate School of Management and Law.

    published: 23 Sep 2016
  • Large-Scale Graph Data Mining with MapReduce a Bag of Tricks, by Nima Sarshar, Ph.D. Intuit 20130624

    Speaker: Nima Sarshar, Ph.D. Intuit Event Details Many modern large-scale data mining problems are defined on graphs (think of People you May Know) , or have a graph representation (think of Collaborative filtering and it's bi-partite graph representation). This makes Hadoop and the MapReduce framework natural candidates to tackle them. Some graph processing algorithms, e.g. global PageRank, can be ported into the MapReduce framework rather straightforwardly. Others require various degrees of combinatorial tricks. In this talk, we review several fundamental graph processing algorithms that require careful, and often beautiful, tricks to scale when dealing with very large graphs. These include enumerating triangles and rectangles (e.g., to find Friends in Common at scale) , creating indu...

    published: 07 Aug 2013
  • Mine Engineer - SABC Education Career Guide

    published: 10 Jun 2014
Week 6: Knowledge Engineering and Data Mining

Week 6: Knowledge Engineering and Data Mining

  • Order:
  • Duration: 8:32
  • Updated: 12 Nov 2014
  • views: 478
videos
Ryan Baker discusses knowledge engineering and data mining for week 6 of DALMOOC.
https://wn.com/Week_6_Knowledge_Engineering_And_Data_Mining
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: 6191
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
Is Data Science A Viable Career Path?

Is Data Science A Viable Career Path?

  • Order:
  • Duration: 7:35
  • Updated: 04 Apr 2016
  • views: 84707
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
Data Mining with modeFRONTIER

Data Mining with modeFRONTIER

  • Order:
  • Duration: 23:40
  • Updated: 05 Apr 2017
  • views: 55
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
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: 7724
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
The Right Stuff: Lessons Learned from a Decade of Data Engineering

The Right Stuff: Lessons Learned from a Decade of Data Engineering

  • Order:
  • Duration: 39:49
  • Updated: 03 Jun 2017
  • views: 175
videos
Recorded at DataEngConf SF17 in April, 2017. With more than a decade of Big Data experience now behind us, we’ll talk with a few veterans from the front lines about what skills mattered — and what didn't — on the first data engineering teams at Silicon Valley’s data-intensive start-ups. This will be a must-watch panel for those looking to build out a data-engineering function or get into the field themselves. We’ll explore the build vs. buy debate, looking at which classes of software teams hand-rolled, borrowed (and extended) from open-source projects, or bought - and discuss how that mix is changing. We’ll learn about the hardest parts of data pipelines and the data stack to build. And we’ll highlight the necessary skills that make data engineers different than data scientists.
https://wn.com/The_Right_Stuff_Lessons_Learned_From_A_Decade_Of_Data_Engineering
Techniques to improve the accuracy of your Predictive Models

Techniques to improve the accuracy of your Predictive Models

  • Order:
  • Duration: 1:21:07
  • Updated: 17 Oct 2013
  • views: 9205
videos
Code from talk: http://anotherdataminingblog.blogspot.com.au/2013/10/techniques-to-improve-accuracy-of-your_17.html The Heritage Health Prize was a two year predictive analytics competition that recently concluded, and Melbourne based Phil Brierley was the P in POWERDOT, the 'winning' team. In this talk Phil will share some* of the tips and tricks for building accurate predictive models (hopefully with some 'live' demonstrations using R) and tell the POWERDOT story. *Note: The competition is ongoing - so don't expect to learn everything ;-) By education, Phil Brierley is a Mechanical Engineer and became involved in predictive analytics during his doctorate where he developed intelligent control systems using neural networks. Phil is the owner of Tiberius Data Mining where he develops the visual data mining softwareTiberius. He has worked at NAB and IBM in advanced analytics and is also freelance data scientist currently working for a Hedge Fund. In his spare time he enjoys honing his techniques in competitive data mining and is a 3 time Kaggle winner.
https://wn.com/Techniques_To_Improve_The_Accuracy_Of_Your_Predictive_Models
DataScience@SMU– Course Overview: Data Mining

DataScience@SMU– Course Overview: Data Mining

  • Order:
  • Duration: 3:05
  • Updated: 14 Mar 2016
  • views: 1233
videos
DataScience@SMUCourse Overview: Data Mining
https://wn.com/Datascience_Smu–_Course_Overview_Data_Mining
Day in the Life - Validation Engineer

Day in the Life - Validation Engineer

  • Order:
  • Duration: 2:23
  • Updated: 15 Aug 2014
  • views: 5544
videos
Roja shares her experience as a recent college graduate and validation engineer at TI.
https://wn.com/Day_In_The_Life_Validation_Engineer
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: 14655
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
27c3: Three jobs that journalists will do in 2050 (en)

27c3: Three jobs that journalists will do in 2050 (en)

  • Order:
  • Duration: 1:00:34
  • Updated: 06 Jan 2011
  • views: 916
videos
Speaker: Annalee Newitz Why future media may be more powerful (and more subversive) than ever before Print media are dying, but what is rising up to take their place? In this presentation, I'll answer that question by describing three new kinds of jobs for journalists that do not exist in mainstream print media. These jobs are: hacker journalist, data-mining reporter, and crowd engineer. I'll be describing what these jobs entail, and current examples of organizations already employing people to do them. My observations in this presentation are based on the nearly twenty years I have written for traditional print as well as new media publications, including zines like Bad Subjects and 2600, as well as mainstream media outlets like Wired and the Washington Post. I also created io9.com, the world's most widely-read blog devoted to science and science fiction. As I've watched friends and colleagues suffer through layoffs in the publishing industry, I've also seen the rise of new kinds of journalists who use technology to break stories in ways that would have been impossible even five years ago. Hacker journalists use everything from Perl scripts to open source mapping platforms to do investigative reporting (examples include writing at Ars Technica, as well as people working with the Ushahidi mapping platform). Data-mining reporters are people who analyze vast amounts of data to investigate issues from war crimes (using services like Wikileaks) to the stock market "flash crash". Crowd engineers work on crowd-sourced news sites like Reddit and Metafilter, writing algorithms and community software that makes it easy for people to share information. Like editors, crowd engineers can be very powerful figures who determine which information rises to the top. What these new journalists have in common is a newfound ability to aggregate and analyze information on a massive scale. Ultimately I'll explore how this changes the playing field in media, and why journalists of the future may be more powerful than ever before. For more information visit:http://bit.ly/27c3_information To download the video visit: http://bit.ly/27c3_videos
https://wn.com/27C3_Three_Jobs_That_Journalists_Will_Do_In_2050_(En)
Dhawal S, Lead Data Engineer

Dhawal S, Lead Data Engineer

  • Order:
  • Duration: 2:11
  • Updated: 29 Mar 2017
  • views: 219
videos
Dhawal shares more about his role as a lead data engineer on Target’s personalization team and what excites him about his team, projects and working at Target.
https://wn.com/Dhawal_S,_Lead_Data_Engineer
Data Mining: Die intelligente Nutzung von Big Data

Data Mining: Die intelligente Nutzung von Big Data

  • Order:
  • Duration: 6:31
  • Updated: 23 Sep 2016
  • views: 849
videos
Data Mining ist die Technik um strategische Informationen aus Big Data zu extrahieren. eoda Chief Data Scientist Oliver Bracht erklärt die Grundlagen des Data Mining und das Vorgehen anhand von branchenübergreifenden Use Cases aus Industrie, Vertrieb und Marketing. Darüber hinaus gibt Bracht Handlungsempfehlungen für Unternehmen, die Big Data für sich nutzen wollen. Das Video ist entstanden im Rahmen eines Vortrags bei der German Graduate School of Management and Law.
https://wn.com/Data_Mining_Die_Intelligente_Nutzung_Von_Big_Data
Large-Scale Graph Data Mining with MapReduce a Bag of Tricks, by Nima Sarshar, Ph.D. Intuit 20130624

Large-Scale Graph Data Mining with MapReduce a Bag of Tricks, by Nima Sarshar, Ph.D. Intuit 20130624

  • Order:
  • Duration: 52:56
  • Updated: 07 Aug 2013
  • views: 2138
videos
Speaker: Nima Sarshar, Ph.D. Intuit Event Details Many modern large-scale data mining problems are defined on graphs (think of People you May Know) , or have a graph representation (think of Collaborative filtering and it's bi-partite graph representation). This makes Hadoop and the MapReduce framework natural candidates to tackle them. Some graph processing algorithms, e.g. global PageRank, can be ported into the MapReduce framework rather straightforwardly. Others require various degrees of combinatorial tricks. In this talk, we review several fundamental graph processing algorithms that require careful, and often beautiful, tricks to scale when dealing with very large graphs. These include enumerating triangles and rectangles (e.g., to find Friends in Common at scale) , creating induced latent networks and collaborative filtering on bi-partite graphs, Personalized PageRank and more. We will describe some of the applications of these algorithms at Intuit. Speaker Bio Nima is a Senior Data Scientist at Intuit. Before Intuit he was the co-founder and CTO of Haileo Inc, a Santa Clara based star up specializing in context-based video advertisement. Before that, he was an Associate Prof. of Software Engineering at the University of Regina, Canada.
https://wn.com/Large_Scale_Graph_Data_Mining_With_Mapreduce_A_Bag_Of_Tricks,_By_Nima_Sarshar,_Ph.D._Intuit_20130624
Mine Engineer - SABC Education Career Guide

Mine Engineer - SABC Education Career Guide

  • Order:
  • Duration: 12:32
  • Updated: 10 Jun 2014
  • views: 517
videos
https://wn.com/Mine_Engineer_Sabc_Education_Career_Guide
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