Angel \”Java\” Lopez on Blog

January 16, 2015

Machine Learning: Links, News And Resources (4)

Filed under: Artificial Intelligence, Links, Machine Learning — ajlopez @ 11:10 am

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An Introduction to Deep Learning (in Java): From Perceptrons to Deep Networks | Toptal
http://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks

Machine Learning & Recommender Systems at Netflix Scale
http://www.infoq.com/presentations/machine-learning-netflix

The Yaksis
http://www.yaksis.com/posts/vowpal_wabbit-the-redis-of-the-data-science-community.html

2014 will be the year you’ll learn Machine Learning — Louis Dorard
http://www.louisdorard.com/blog/2014-machine-learning

Classification with scikit-learn | DataRobot
http://www.datarobot.com/blog/classification-with-scikit-learn/

Machine Learning with Scikit-Learn – Jake Vanderplas on Vimeo
http://vimeo.com/80093925

How Google’s Robots Can Learn Like Humans | Fast Company | Business Innovation
http://www.fastcompany.com/3026056/most-innovative-companies-2014/how-googles-robots-can-learn-like-humans

Machine Learning in Javascript: Introduction | Burak Kanber’s Blog
http://burakkanber.com/blog/machine-learning-in-other-languages-introduction/

Probably Approximately Correct — a Formal Theory of Learning | Math n Programming
http://jeremykun.com/2014/01/02/probably-approximately-correct-a-formal-theory-of-learning/

Machine Learning
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=MachineLearning

Seattle area event: A hands-on introduction to machine learning with F# – Visual F# Tools Team Blog – Site Home – MSDN Blogs
http://blogs.msdn.com/b/fsharpteam/archive/2013/11/12/seattle-area-event-a-hands-on-introduction-to-machine-learning-with-f.aspx

Introduction to Machine Learning
http://alex.smola.org/teaching/cmu2013-10-701x/index.html

All Models of Learning have Flaws « Machine Learning (Theory)
http://hunch.net/?p=224

mikeizbicki/HLearn
https://github.com/mikeizbicki/HLearn

The Man Who Would Teach Machines to Think – James Somers – The Atlantic
http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/

Machine Learning in Python has never been easier – AnalyticBridge
http://www.analyticbridge.com/profiles/blogs/machine-learning-in-python-has-never-been-easier

Code Webs – Visualizing 40,000 student code submissions
http://www.stanford.edu/~jhuang11/research/pubs/moocshop13/codeweb.html

luispedro/BuildingMachineLearningSystemsWithPython
https://github.com/luispedro/BuildingMachineLearningSystemsWithPython

Stanford researchers to open-source model they say has nailed sentiment analysis — Tech News and Analysis
http://gigaom.com/2013/10/03/stanford-researchers-to-open-source-model-they-say-has-nailed-sentiment-analysis/

My Links
http://delicious.com/ajlopez/machinelearning

Stay tuned!

Angel “Java” Lopez
http://www.ajlopez.com
http://twitter.com/ajlopez

2 Comments »

  1. […] Previous Post Next Post […]

    Pingback by Machine Learning: Links, News And Resources (3) | Angel "Java" Lopez on Blog — January 16, 2015 @ 11:16 am

  2. […] Previos Post […]

    Pingback by Machine Learning: Links, News And Resources (5) | Angel "Java" Lopez on Blog — January 19, 2015 @ 12:53 pm


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