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 Yodemy. Today, almost all online businesses use the referral system in different ways. For example, the three largest websites in the world, Google, YouTube, and Facebook, are using the referral system to serve users and reach more audiences, and hence they have reached their current position.
This course contains valuable information that shows you how to use the referral system on different platforms. In this course, popular news feed algorithms Reddit, Hacker News, and Google PageRank are reviewed, and Bayesian suggestion 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 to use recommendation system technology on your website and expand your business.
Courses taught in this course:
- Accurate understanding and implementation of recommendation systems for users using simple algorithms
- Big Data Matrix Factoring on Spark with AWS EC2 Range
- Matrix Factoring or SVD in the Numpy JavaScript Library
- Matrix factorization in Keras library
- Deep neural networks, residual networks and self-regulation in Keras
- Boltzmann limited car in Tensorflow
Course Features 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 title:
Prerequisites for Recommender Systems and Deep Learning in Python:
- For the previous sections, just know some basic arithmetic
- For advanced sections, learn Calculus, Linear Algebra, and Probability for deeper understanding
- Become proficient in Python and the Numpy stack (see my free course)
- For the deep learning section, learn the basics of using Keras
Pictures
Sample Film
installation Guide
After extract watch it with your favorite player.
Subtitles: Version 2024/5 (none) | Version 2022/10 (English)
Quality: 1080p
Change:
Compared to 2018/12, version 2022/10 has an increased number of lessons by 9 and a duration of 1 hour 12 minutes.
Version 2024/5 has increased by 1 lesson and reduced duration by 1 minute compared to 2022/10.
download link
Version 2024/5 (without subtitles)
Version 2022/10 (English subtitles)
File Password: free download software
size
4.13 GB