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Overview
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 Believe it or not, almost all online businesses today make use...
Syllabus
- Welcome
- Simple Recommendation Systems
- Collaborative Filtering
- Beginner Q&A
- Matrix Factorization and Deep Learning
- Restricted Boltzmann Machines (RBMs) for Collaborative Filtering
- Big Data Matrix Factorization with Spark Cluster on AWS / EC2
- Basics Review
- Bayesian Ranking (Scary Version)
- Appendix / FAQ Intro
Instructor
Lazy Programmer Inc.
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