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Udemy – Recommender Systems and Deep Learning in Python 2024-5

Udemy – Recommender Systems and Deep Learning in Python 2024-5

Published on: 2024-05-20 06:48:47

Categories: 28

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Description

Recommender Systems and Deep Learning in Python is a specialized course on recommending systems for deep learning, machine learning, data science, and AI techniques provided by Yodemi. Today, almost all online businesses use the referral system in different ways. For example, the world’s three largest websites, Google, YouTube, and Facebook, are using the referral system to serve users and reach more audiences, and have therefore reached their current position.

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

Courses taught in this course:

Course Characteristics of Recommender Systems and Deep Learning in Python:

Course headings:

Recommender Systems and Deep Learning in Python

Prerequisites for Recommender Systems and Deep Learning in Python:

Pictures

Recommender Systems and Deep Learning in Python

Sample movie

Installation guide

View with your favorite Player after Extract.

Subtitle: Version 2024/5 (None) | Version 2022/10 (English)

Quality: 1080p

Changes:

Version 2022/10 compared to 2018/12 has increased the number of 9 lessons and the duration of 1 hours and 12 minutes.

Version 2024/5 compared to 2022/10 has increased by 1 lesson and the duration has decreased by 1 minute.

Download link

Version 2024/5 (Without Subtitle)

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Download Part 5 – 130 MB

Version 2022/10 (English Subtitle)

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 1 GB

Download Part 5 – 131 MB

File password (s): www.abc.com

Size

4.13 GB

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