Recommender Systems and Deep Learning in Python

Recommender Systems and Deep Learning in Python, The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

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Created by Lazy Programmer Inc.

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What you'll learn

• Understand and implement accurate recommendations for your users using simple and state-of-the-art algorithms
• Big data matrix factorization on Spark with an AWS EC2 cluster
• Matrix factorization / SVD in pure Numpy
• Matrix factorization in Keras
• Deep neural networks, residual networks, and autoencoder in Keras
• Restricted Boltzmann Machine in Tensorflow
• Requirements
• For earlier sections, just know some basic arithmetic
• For advanced sections, know calculus, linear algebra, and probability for a deeper understanding
• Be proficient in Python and the Numpy stack (see my free course)
• For the deep learning section, know the basics of using Keras