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

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:
- Accurate understanding and implementation of the recommendation system for users using simple algorithms
- Big data matrix factoring on Spark with AWS EC2 category
- Matrix Factoring or SVD in the Numpy JavaScript Library
- Matrix factorization in the Keras library
- Deep neural networks, residual networks, and self-regulation in Keras
- Boltzmann limited car at Tensorflow
Course Characteristics of Recommender Systems and Deep Learning in Python:
- Publisher: Udemy
- Instructor: Lazy Programmer Inc
- English language
- Duration: 12 hours and 31 minutes
- Number of courses: 93
Course headings:
Prerequisites for Recommender 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
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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.
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Version 2024/5 (Without Subtitle)
Version 2022/10 (English Subtitle)
Size
4.13 GB