## machine-learning

This is a topic under computer-science.

Sub topics: statistical-learning

We have 3 learning paths for this topic: Syllabus: Machine Learning for Managers, Dorai Thodla, The Open Source Data Science Masters

Statistical Learning from a Regression Perspective

link.springer.com# Deep Learning

goodreads.com

Deep learning

deeplearningbook.orgThe Elements of Statistical Learning

link.springer.com# Pattern Recognition and Machine Learning (Information Science and Statistics)

goodreads.com

Deep Larning with Python (2017)

goodreads.comInterpretable machine learning (2018)

christophm.github.ioIntroduction to artificial intelligence (2011)

goodreads.comArtificial intelligence a modern approach (1994)

goodreads.comTensorflow machine learning cookbook (2017)

packtpub.com# The Elements of Statistical Learning: Data Mining, Inference, and Prediction

goodreads.com

Hands-On Machine Learning with Scikit-Learn and TensorFlow (2017)

goodreads.comThe quest for artificial intelligence - a history of ideas and achievements (2009)

ai.stanford.eduAn Introduction to Statistical Learning

link.springer.comAn Introduction to Machine Learning

link.springer.comUnderstanding machine learning: from theory to algorithms (2014)

cs.huji.ac.ilMachine Learning with Go (2017)

packtpub.comSuperintelligence: paths, dangers, strategies (2014)

goodreads.comRecommender Systems

link.springer.comNeural Networks and Deep Learning (2015)

neuralnetworksanddeeplearning.comParadigms of artificial intelligence programming (1991)

norvig.comInterpretable Machine Learning (2018)

christophm.github.ioPattern Recognition and Machine Learning

microsoft.comMachine Learning in Medicine - a Complete Overview

link.springer.comMachine learning (1997)

cs.cmu.eduThe Elements of Statistical Learning

web.stanford.eduIntroduction to Deep Learning

link.springer.comNeural Networks and Deep Learning

link.springer.comMachine learning: a probabilistic perspective (2012)

goodreads.comThe Nature of Code (2012)

natureofcode.com