Programming Probabilistically: An introduction to the world of data science

By

Eric Schles

Hello and welcome to my book! You'll find the following sections:

Each section covers about 4 to 5 chapters worth of materail broken out into:

Sections to come:

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
intro_to_python		intro_to_python
An Introduction To Information Theory.ipynb		An Introduction To Information Theory.ipynb
An Introduction to Classification.ipynb		An Introduction to Classification.ipynb
An Introduction to Natural Language Processing.ipynb		An Introduction to Natural Language Processing.ipynb
An Introduction to Neural Networks.ipynb		An Introduction to Neural Networks.ipynb
An Introduction to Regression.ipynb		An Introduction to Regression.ipynb
Applying Statistical Tests.ipynb		Applying Statistical Tests.ipynb
NewtonIteration_Ani.gif		NewtonIteration_Ani.gif
README.md		README.md
Statistical Tests.ipynb		Statistical Tests.ipynb
applying_statistical_tests.csv		applying_statistical_tests.csv
automl_keras.py		automl_keras.py
generalization.py		generalization.py
get-pip.py		get-pip.py
housepricedata.csv		housepricedata.csv
neural_network.py		neural_network.py
neural_network.py~		neural_network.py~
neural_network2.py		neural_network2.py
regression2.ipynb		regression2.ipynb
requirements.txt		requirements.txt

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