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Added Google's Machine Learning Crash Course #141

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36 changes: 31 additions & 5 deletions README.md
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Expand Up @@ -14,18 +14,43 @@ The open-source curriculum for learning Data Science. Foundational in both theor
- [The Open Source Data Science Curriculum](#the-open-source-data-science-curriculum)
- [A Note About Direction](#a-note-about-direction)
- [Math](#math)
- [**Linear Algebra & Programming**](#linear-algebra-programming)
- [**Convex Optimization**](#convex-optimization)
- [**Statistics**](#statistics)
- [**Differential Equations & Calculus**](#differential-equations-calculus)
- [**Problem Solving**](#problem-solving)
- [Computing](#computing)
- [**Algorithms**](#algorithms)
- [**Distributed Computing Paradigms**](#distributed-computing-paradigms)
- [**Databases**](#databases)
- [**Data Mining**](#data-mining)
- [**Data Design**](#data-design)
- [**Machine Learning**](#machine-learning)
- [**Probabilistic Modeling**](#probabilistic-modeling)
- [**Deep Learning (Neural Networks)**](#deep-learning-neural-networks)
- [**Social Network & Graph Analysis**](#social-network-graph-analysis)
- [**Natural Language Processing**](#natural-language-processing)
- [Data Analysis](#data-analysis)
- [**in Python**](#in-python)
- [Data Communication and Design](#data-communication-and-design)
- [Python (Learning)](#python-learning)
- [Python (Libraries)](#python-libraries)
- [Datasets are now here](#datasets-are-now-here)
- [R resources are now here](#r-resources-are-now-here)
- [**Visualization**](#visualization)
- [**Python** (Learning)](#python-learning)
- [**Python** (Libraries)](#python-libraries)
- [**Data Structures & Analysis Packages**](#data-structures-analysis-packages)
- [**Machine Learning Packages**](#machine-learning-packages)
- [**Networks Packages**](#networks-packages)
- [**Statistical Packages**](#statistical-packages)
- [**Natural Language Processing & Understanding**](#natural-language-processing-understanding)
- [**Data APIs**](#data-apis)
- [**Visualization Packages**](#visualization-packages)
- [**iPython Data Science Notebooks**](#ipython-data-science-notebooks)
- [Datasets are now here](#datasets-are-now-herehttp---bitly-osdsm-datasets-link)
- [R resources are now here](#r-resources-are-now-herehttp---bitly-osdsm-rresources)
- [Data Science as a Profession](#data-science-as-a-profession)
- [Capstone Project](#capstone-project)
- [Resources](#resources)
- [Read](#read)
- [Watch & Listen](#watch--listen)
- [Watch & Listen](#watch-listen)
- [Learn](#learn)
- [Notation](#notation)
- [Contribute](#contribute)
Expand Down Expand Up @@ -286,6 +311,7 @@ _More Libraries can be found in the ["awesome machine learning"](https://github.
* [Coursera](http://bit.ly/coursera-online-courses) - Online university courses
* [Wolfram Alpha](http://bit.ly/wolframalpha-torus) - The smart number and info cruncher
* [Khan Academy](http://bit.ly/khan-academy-lifeinsurance) - High quality, free learning videos
* [Google's Machine Learning Crash Course (MLCC)](https://developers.google.com/machine-learning/crash-course/) - Machine Learning fundamentals with TensorFlow

***

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