Algorithms/Open source tools for ML 


Regression, Classification, Clustering, Association rules, Reinforcement Learning, NPL, Deep Learning (Artificial Neural Networks, CNN), Dimensionality Reduction, k-fold Cross Validation, XGBoost
Open source libraries:
Tensorflow, Pytorch, Theano, Scikit-learn.
Keras is an incredible library to implement Deep Learning. 
Numpy to do high computations and manipulate high dimensional arrays.
Matplotlib to plot insightful charts and Pandas to import datasets.
Python, R
Apache Spark™ is a fast and general engine for large-scale data processing.
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