HackyRoot/MLCC_Starter_Guide

This guide provides basic technical and mathematical background required for Google's Machine Learning Crash Course to beginner.

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This guide helps aspiring machine learning practitioners prepare for Google's Machine Learning Crash Course. It provides fundamental technical and mathematical concepts, serving as a prerequisite. You'll go from having limited background in math and Python to possessing the foundational knowledge needed to successfully engage with the course material. This is for anyone looking to enter the field of machine learning who needs a solid grasp of the basics before diving into more advanced topics.

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Use this if you are a beginner interested in machine learning and need to brush up on essential math and Python skills before starting a formal course like Google's MLCC.

Not ideal if you already have a strong background in mathematics and Python programming or are looking for advanced machine learning algorithms and deployment strategies.

machine-learning-education data-science-preparation mathematics-for-ml python-for-ml beginner-data-science
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Feb 15, 2019

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