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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
4.6 ★★★★★34,691 studentsCreated by Lazy Programmer Team, Lazy Programmer Inc.Last updated Nov 3, 2025🌐 English

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

Description

Frequently Asked Questions

Student Feedback

4.6
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago

This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.

M
Michael T.
★★★★1 month ago

Great content, highly recommended for beginners. Just wish there were more practice exercises.

D
David K.
★★★★★2 months ago

Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).

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Recommender Systems and Deep Learning in Python
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This course includes:
  • 📺 13h on-demand video
  • 📱 Access on mobile and TV
  • ♾️ Full lifetime access
  • 🏆 Certificate of completion