Machine Learning

getting started

google://getting started with machine learning

https://www.kaggle.com/wiki/GettingStartedWithPythonForDataScience - in progress

https://www.quora.com/I-want-to-learn-machine-learning-Where-should-I-start

http://thunderboltlabs.com/blog/2013/11/09/getting-started-with-machine-learning/

http://machinelearningmastery.com/machine-learning-for-programmers/

https://www.kaggle.com/dfernig/reddit-comments-may-2015/the-biannual-reddit-sarcasm-hunt/code

course: at coursera https://www.coursera.org/learn/machine-learning/home/week/1

understanding machine learning theory algorithms

algorithms

random forest

https://medium.com/rants-on-machine-learning/the-unreasonable-effectiveness-of-random-forests-f33c3ce28883

Nearest Neighbors Classification

http://scikit-learn.org/stable/modules/neighbors.html

lstm

http://blog.echen.me/2017/05/30/exploring-lstms/

tools

python + libs

• Caffe deep learning framework

• SystemML- a Universal Translator for Big Data and Machine Learning
  • http://www.ibm.com/blogs/think/2015/11/24/introducing-a-universal-translator-for-big-data-and-machine-learning/
  • https://github.com/SparkTC/systemml/
  • http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
  • https://developer.ibm.com/open/systemml/

sample data

http://archive.ics.uci.edu/ml/datasets/Smartphone-Based+Recognition+of+Human+Activities+and+Postural+Transitions

blogs

http://blog.datumbox.com/

Cool Projects

https://github.com/aficnar/slackpolice

Aerospace Controls Lab

http://acl.mit.edu/

https://www.youtube.com/channel/UCVTxuaJsdMrk3UEcHVll9Yg

Reading Room

• What a Deep Neural Network thinks about your #selfie

• Detecting tanks https://www.jefftk.com/p/detecting-tanks

• https://analyticsdefined.com/mining-enron-emails/

Chapter

https://github.com/FlorianMuellerklein/Machine-Learning

Improving our neural network (96% MNIST) https://databoys.github.io/ImprovingNN/

https://iamtrask.github.io/2015/07/12/basic-python-network/

https://plot.ly/python/create-online-dashboard/

https://www.anaconda.com/download/

http://jupyter.org/install.html

https://medium.com/towards-data-science/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464