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Josh Reuben
<< Distributed TensorFlow Pipeline using Google Cloud Machine Learning Engine
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Scikit Learn Quickref for Machine Learning >>
A Short Deep Learning Study Guide
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basic Machine Learning pre-requisites:
python
http://docs.python-guide.org/en/latest/intro/learning/
Jupyter
http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/
Scipy
http://www.scipy-lectures.org/
Pandas
https://pandas.pydata.org/pandas-docs/stable/10min.html
Scikit-Learn
http://scikit-learn.org/stable/user_guide.html
Seaborn charts
https://seaborn.pydata.org/tutorial.html
brief intro to Neural nets
https://www.toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networks
Spark MLLib
https://spark.apache.org/mllib/
Mathematical Foundations of Machine Learning:
https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA
Deep Learning
neural networks refresher -
https://www.youtube.com/playlist?list=PLiaHhY2iBX9hdHaRr6b7XevZtgZRa1PoU
DL tutorial - theano code, briefly covers all topics
http://deeplearning.net/tutorial/
Learning TensorFlow
https://learningtensorflow.com/
Jason Brownlee's blog - all Keras / LTSM tutorials
http://machinelearningmastery.com/blog/
TensorFlow docs
https://www.tensorflow.org/api_docs/python/
Keras docs -
https://keras.io/
Google Cloud Machine Learning - TensorFlow scale out
https://cloud.google.com/ml-engine/docs/
TensorFlow Cookbook
https://github.com/nfmcclure/tensorflow_cookbook
deep learning textbook online
http://www.deeplearningbook.org/
a study guide:
http://yerevann.com/a-guide-to-deep-learning/
beyond Deep Learning - Reinforcement Learning: blog series:
https://github.com/dennybritz/reinforcement-learning
summary of bleeding edge: OpenAI blogs:
https://blog.openai.com/
Posted on Tuesday, November 28, 2017 6:34 AM
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