Angel \”Java\” Lopez on Blog

January 13, 2015

Machine Learning: Links, News And Resources (3)

Filed under: Artificial Intelligence, Links, Machine Learning — ajlopez @ 12:19 pm

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Tutorial Slides by Andrew Moore, computer scientist at Google, ex-CMU professor – AnalyticBridge
http://www.analyticbridge.com/forum/topics/tutorial-slides-by-andrew?groupUrl=onlinetutorials

Introduction to Machine Learning | InTechOpen
http://www.intechopen.com/books/theory_and_novel_applications_of_machine_learning

Skills Matter : Progressive F# Tutorials 2013: Matt Moloney
http://skillsmatter.com/podcast/scala/phil-trelford

Deep Learning
http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/

Richard Socher – Deep Learning Tutorial
http://www.socher.org/index.php/DeepLearningTutorial/DeepLearningTutorial

tresata/ganitha
https://github.com/tresata/ganitha

Amazon.com: Imbalanced Learning: Foundations, Algorithms, and Applications (9781118074626): Haibo He, Yunqian Ma: Books
http://www.amazon.com/Imbalanced-Learning-Foundations-Algorithms-Applications/dp/1118074629

Peekaboo: Machine Learning Cheat Sheet (for scikit-learn)
http://peekaboo-vision.blogspot.ca/2013/01/machine-learning-cheat-sheet-for-scikit.html

bigdata2013.sciencesconf.org/conference/bigdata2013/pages/bottou.pdf
http://bigdata2013.sciencesconf.org/conference/bigdata2013/pages/bottou.pdf

Análisis Cluster (II): Clasificación no supervisada mediante clasificación jerárquica aglomerativa | Pybonacci
https://pybonacci.wordpress.com/2012/11/19/analisis-cluster-ii-clasificacion-no-supervisada-mediante-clasificacion-jerarquica-aglomerativa/

Building Machine Learning Systems with Python | Meta Rabbit
http://metarabbit.wordpress.com/2013/05/31/building-machine-learning-systems-with-python/

Machine Learning | The F# Software Foundation
http://fsharp.org/machine-learning/

Neural Network Visualisation | Creative Clojure
http://clojurefun.wordpress.com/2013/04/10/neural-network-visualisation/

nuroko/nurokit · GitHub
https://github.com/nuroko/nurokit

Skills Matter : The London Clojure Community:Machine Learnin
http://skillsmatter.com/podcast/java-jee/machine-learning-with-storm-redis/

yods/storm-ml-play · GitHub
https://github.com/yods/storm-ml-play

Manning: Machine Learning in Action
http://www.manning.com/pharrington/

scalanlp/nak · GitHub
https://github.com/scalanlp/nak

Cornell Chronicle: Student’s research could shake up Wall Street
http://www.news.cornell.edu/stories/March13/Zvorinji.html

A Tutorial on Learning With Bayesian Networks – Microsoft Research
http://research.microsoft.com/apps/pubs/default.aspx?id=69588

Everything You Wanted to Know About Machine Learning, But Were Too Afraid To Ask (Part One) | The Official Blog of BigML.com
http://blog.bigml.com/2013/02/15/everything-you-wanted-to-know-about-machine-learning-but-were-too-afraid-to-ask-part-one/

Resources « CS 194-16: Introduction to Data Science
http://datascienc.es/resources/

harthur/brain · GitHub
https://github.com/harthur/brain

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 (2) | Angel "Java" Lopez on Blog — January 13, 2015 @ 12:19 pm

  2. […] Previous Post […]

    Pingback by Machine Learning: Links, News And Resources (4) | Angel "Java" Lopez on Blog — January 16, 2015 @ 11:10 am


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