Recommendation System - Deep Dive

What you'll be able to do

• Fundamental Concepts of Recommendation Systems
• Collaborative Filtering Techniques
• Content-Based Filtering
• Hybrid Recommendation Systems
• Deep Learning for Recommendations
• Practical Implementation

1. 01Introduction to Recommendation Systems4 lessons · 23 min

   1. Too many choices lead to paralysis5:28
   2. Download Resources1:00
   3. Terminologies9:44
   4. Recommendation Architecture6:38
2. 02Similarity Measures1 lesson · 8 min

   1. Similarity Measures for recommendation sys8:01
3. 03Simple Recommender2 lessons · 20 min

   1. Score normalization method19:04
   2. Course Review1:00
4. 04Content Based Filtering2 lessons · 23 min

   1. Content Based Filtering21:51
   2. Exercise: Enhancing Content based filtering1:30
5. 05Collaborating Filtering2 lessons · 36 min

   1. User Based Collaborative Filtering17:53
   2. Evaluating Recommendations (Self Study)17:53
6. 06Matrix Factorization4 lessons · 37 min

   1. Latent Matrix Factorization14:47
   2. Recommendations using SVD Factorization9:02
   3. Evaluating Recommendations5:34
   4. Alternating Least Squares (ALS)7:53
7. 07Deep Learning Embeddings2 lessons · 38 min

   1. Embedding Based Recommender Using TensorFlow23:44
   2. Tackling Cold Start with LightFM (Optional)14:02
8. 08Audio Recommendations using LLMs and Vector DB1 lesson · 25 min

   1. Audio Recommendation Code Workout25:14

What you need

• Basics of Python
• Foundational knowledge of Data Science
• High school maths

Who this course is for

• Data Science Aspirants
• Data Science Professionals
• Software/Data engineers interested in quantitative analysis
• Professionals working with large datasets
• Data analysts, economists, researchers

Your instructor

Prabhakaran S

Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this course!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!

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