Download Udemy - Recommender System With Machine Learning and Statistics torrent

Udemy - Recommender System With Machine Learning and Statistics

Torrent:	Udemy - Recommender System With Machine Learning and Statistics
Description:	Recommender System With Machine Learning and Statistics https://CourseMega.com MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 13 lectures (54m) \| Size: 445.5 MB Step-By-Step Guide to Build Collaborative Filtering and Association Rule Based Recommender Using Fastai and Python What you'll learn: Understand the hypotheses behind the main solutions of recommender systems Build and train collaborative filtering models with fastai Fetch and visualize latent features Compare and interpret weights and biases Compute support, confidence, and lift Encode an item-order matrix Apply association rule and Apriori algorithm Evaluate results with selected criteria Exercise the trained model on large test datasets Requirements Understand basic concepts in machine learning, statistics, and python Description Recommender system is a promising approach to boost sales to the next level by suggesting the right products to the right customers. This course starts by showing you the main solutions of recommender systems in the industry and the hypotheses behind the main solutions. You’ll then learn how to build collaborative filtering models with fastai, and exercise the trained model on test datasets.
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Category:	Other /Tutorials
Size:	484.3 MB
Show Files »	[ CourseMega.com ] Udemy - Recommender System With Machine Learning and Statistics Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Why Business Needs Recommender Systems 1. Why Business Needs Recommender Systems.mp4 (25.7 MB) 1. Why Business Needs Recommender Systems.srt (1.8 KB) 2. Roadmap of the Course 1. Roadmap of the Course.mp4 (3.5 MB) 1. Roadmap of the Course.srt (1.1 KB) 3. The Hypotheses Behind the Main Solutions of Recommender Systems 1. The Hypotheses Behind the Main Solutions of Recommender Systems.mp4 (66.5 MB) 1. The Hypotheses Behind the Main Solutions of Recommender Systems.srt (4.8 KB) 4. Hands-on Collaborative Filtering Recommender System With Fast.ai 1. A Quick Eda on the Grocery Dataset.mp4 (49.3 MB) 1. A Quick Eda on the Grocery Dataset.srt (4.6 KB) 2. What Is Collaborative Filtering in Depth.mp4 (11.0 MB) 2. What Is Collaborative Filtering in Depth.srt (4.1 KB) 3. How to Build and Train Collaborative Filtering Model With Fast.ai.mp4 (90.3 MB) 3. How to Build and Train Collaborative Filtering Model With Fast.ai.srt (5.7 KB) 4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.mp4 (85.1 MB) 4. How to Visualize Latent Features Do Popular Items Have a Higher Bias.srt (5.0 KB) 5. Build a Hybrid Recommender System With Popularity and Association Rule 1. What Is the Definition of Popularity and What Is Support.mp4 (38.1 MB) 1. What Is the Definition of Popularity and What Is Support.srt (4.2 KB) 2. How to Encode an Item-Order Matrix.mp4 (31.2 MB) 2. How to Encode an Item-Order Matrix.srt (2.1 KB) 3. What Are Confidence and Lift.mp4 (23.8 MB) 3. What Are Confidence and Lift.srt (1.9 KB) 4. What Is Association Rule and How to Apply Apriori Algorithm.mp4 (10.5 MB) 4. What Is Association Rule and How to Apply Apriori Algorithm.srt (2.7 KB) 5. How to Evaluate Results With Selected Criteria.mp4 (42.7 MB) 5. How to Evaluate Results With Selected Criteria.srt (1.6 KB) 6. End-Of-Course Conclusion 1. End-Of-Course Conclusion.mp4 (6.6 MB) 1. End-Of-Course Conclusion.srt (0.8 KB) Bonus Resources.txt (0.3 KB) files
Added:	2021-11-17 10:04:32
Language:	English
Peers:	Seeders : 7 , Leechers : 1
Release name:	Udemy - Recommender System With Machine Learning and Statistics
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