piyush26arora/AmazonMLSS22
Repository containing important ML concepts and algorithms, discussed in AMAZON ML SUMMER SCHOOL 2022.
This collection of materials provides an overview of fundamental machine learning concepts and algorithms. It summarizes topics like supervised and unsupervised learning, deep neural networks, and reinforcement learning, presenting the core ideas behind how machines learn from data. This is ideal for students or professionals new to AI who want to grasp the basics of how intelligent systems are built.
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Use this if you are a student or aspiring data scientist looking for a structured introduction to core machine learning topics.
Not ideal if you are an experienced machine learning engineer seeking advanced techniques or practical code implementations.
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Jupyter Notebook
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Last pushed
Aug 03, 2022
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