Udemy – Recommender Systems and Deep Learning in Python 2018-12

Description

Recommender Systems and Deep Learning in Python is a specialized course on deep learning, machine learning, data science, and AI techniques offered by Yodmi. Today, almost all online businesses use the referral system in different ways. For example, the world's three largest websites, Google, YouTube, and Facebook, use the referral system to provide services to users and attract more audiences, and as a result have reached their current position.

This course contains very valuable information that shows you how to use the recommender system on different platforms. In this course, the popular news feed algorithms Reddit, Hacker News, and Google PageRank are reviewed, as well as suggested Bayesian techniques used by major media companies. If you also have products that you sell online or if you write articles on your website, this course will help you to use the recommendation system technique on your website and expand your business.

Things to be taught in this course:

Understand and accurately implement the recommendation system for users using simple algorithms

Factoring Big data matrix on Spark with AWS EC2 handle

Matrix Invoicing or SVD in the Numpy JavaScript Library

Matrix Invoicing in the Keras Library

Deep neural networks, residual networks, and self-encryption in Keras

Boltzmann limited car in Tensorflow

Recommended Systems and Deep Learning course in Python

English language

Duration: 11 hours and 20 minutes

Number of courses: 83

Instructor: Lazy Programmer Inc

File format: mp4

Topics

Welcome 3 lectures 12:59

Simple Recommendation Systems 17 lectures 02:09:42

Collaborative Filtering 8 lectures 01:29:18

Matrix Factorization and Deep Learning 19 lectures 02:06:28

Restricted Boltzmann Machines (RBMs) for Collaborative Filtering 13 lectures 01:36:15

Big Data Matrix Factorization with Spark Cluster on AWS / EC2 6 lectures 47:10

Basics Review 5 lectures 33:43

Appendix 12 lectures 02:25:15

Prerequisites for Recommended Systems and Deep Learning in Python

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

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p