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Recommender Systems and Deep Learning in Python-P2P

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

Recommender Systems and Deep Learning in Python-P2P
.MP4, AVC, 30 fps, 1280×720 | English, AAC, 64 kbps, 2 Ch | 11h 20m | 4.03 GB
Created by Lazy Programmer Inc.
Download: RAPIDGATOR /Part1Part2Part3Part4Part5/ – NTi
Download: NITROFLARE /Part1Part2Part3Part4Part5/ – NTi
Download single: RAPIDGATORNITROFLARENTi

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  1. Cristiano Ronaldo
    January 7th, 2019 | 02:40

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