Building Recommender Systems with Machine Learning and AI || Free Certification Course 2021

Why this certification course

  • Understand and apply user-based and item-based collaborative filtering to recommend items to users

  • Create recommendations using deep learning at massive scale

  • Build recommender systems with neural networks and Restricted Boltzmann Machines (RBM's)

  • Make session-based recommendations with recurrent neural networks and Gated Recurrent Units (GRU)

  • Build a framework for testing and evaluating recommendation algorithms with Python

  • Apply the right measurements of a recommender system's success

  • Build recommender systems with matrix factorization methods such as SVD and SVD++

  • Apply real-world learnings from Netflix and YouTube to your own recommendation projects

  • Combine many recommendation algorithms together in hybrid and ensemble approaches

  • Use Apache Spark to compute recommendations at large scale on a cluster

  • Use K-Nearest-Neighbors to recommend items to users

  • Solve the "cold start" problem with content-based recommendations

  • Understand solutions to common issues with large-scale recommender systems

How to watch

1. On Web/Desktop/Laptop - Just Simply click on below link & signin/signup using your credentials & you are done.

2. On Mobile/Table/Android - Download Udemy App from Playstore & then do the Step 1.

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