Day Three of Machine Learning in Review

Resources explored on third day

• Top 8 open source AI technologies in machine learning The list of 8 libraries worth looking at before anything else:

  • TensorFlow
  • Keras
  • Scikit-learn
  • Microsoft Cognitive Toolkit
  • Theano
  • Caffe = Convolutional Architecture for Fast Feature Embedding
  • Torch
  • Accord.Net

• Machine Learning - a Github Collection A really good source of training data sets and classified algorithms to explore.

• Comet QuickStart

• Data science Streams

• Learn Python and NumPy - for beginners

• An open source platform for the complete machine learning lifecycle

• Visualizing Pandas’ Pivoting and Reshaping Functions I don’t know about you, but I am a sucker for visualizing things when trying to grasp new concepts, thank you Jay Allamar for this awesome blog. He’s visuals about neural networks are worth several ml courses:

  • A Visual And Interactive Look at Basic Neural Network Math
  • A Visual and Interactive Guide to the Basics of Neural Networks