Recommender Systems and Deep Learning in Python

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Recommender Systems and Deep Learning in Python
Recommender Systems and Deep Learning in Python
MP4, AVC, 30 fps, 1280x720 | English, AAC, 64 kbps, 2 Ch | 11h 20m | 4.03 GB
Created by Lazy Programmer Inc.

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques.





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



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Recommender Systems and Deep Learning in Python

Recommender Systems and Deep Learning in Python


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