Resources by Coursera

Probabilistic Graphical Models 1: Representation Coursera
Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
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Probabilistic Graphical Models 2: Inference Coursera
Coursera Probabilistic Graphical Models 2: Inference
Stanford University via Coursera
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Probabilistic Graphical Models 3: Learning Coursera
Coursera Probabilistic Graphical Models 3: Learning
Stanford University via Coursera
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How Google does Machine Learning Coursera
Coursera How Google does Machine Learning
Google Cloud via Coursera
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Launching into Machine Learning Coursera
Coursera ($) Launching into Machine Learning
Google Cloud via Coursera
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Intro to TensorFlow Coursera
Coursera ($) Intro to TensorFlow
Google Cloud via Coursera
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Feature Engineering Coursera
Coursera ($) Feature Engineering
Google Cloud via Coursera
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Art and Science of Machine Learning Coursera
Coursera ($) Art and Science of Machine Learning
Google Cloud via Coursera
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Mathematics for Machine Learning: Linear Algebra Coursera
Coursera Mathematics for Machine Learning: Linear Algebra
Imperial College London via Coursera
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Mathematics for Machine Learning: Multivariate Calculus Coursera
Coursera Mathematics for Machine Learning: Multivariate Calculus
Imperial College London via Coursera
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Mathematics for Machine Learning: PCA Coursera
Coursera Mathematics for Machine Learning: PCA
Imperial College London via Coursera
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Machine Learning with Python Coursera
Coursera Machine Learning with Python
IBM via Coursera
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Machine Learning Foundations: A Case Study Approach Coursera
Coursera Machine Learning Foundations: A Case Study Approach
University of Washington via Coursera
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Machine Learning: Regression Coursera
Coursera Machine Learning: Regression
University of Washington via Coursera
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Machine Learning: Classification Coursera
Coursera Machine Learning: Classification
University of Washington via Coursera
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