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1 min
Terminologies
10 min
Recommendation Architecture
7 min
Recommendation System-Deep Dive
- Get comprehensive understanding of the intricate workings of recommendation systems, their applications,
and the latest advancements in the field.
Created by Selva Prabhakaran
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11 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
Fundamental concepts of
Fundamental concepts of
Recommendation systems
02
Collaborative Filtering
Collaborative Filtering
Techniques
03
Content-based Filtering
Content-based Filtering
04
Hybrid Recommendation
Hybrid Recommendation
Systems
05
Deep Learning for
Deep Learning for
Recommendations
06
Practical Implementation
Practical Implementation
Course Curriculum
8 Modules | 18 Sessions | 3 hour 32 min Total Time
Introduction to Recommendation Systems
Sessions: 4 | Time: 23 min
Similarity Measures
Sessions: 1 | Time: 8 min
Simple Recommender
Sessions: 2 | Time: 20 min
Content Based Filtering
Sessions: 2 | Time: 24 min
Collaborating Filtering
Sessions: 2 | Time: 36 min
Matrix Factorization
Sessions: 4 | Time: 38 min
Deep Learning Embeddings
Sessions: 2 | Time: 38 min
Audio Recommendations using LLMs and Vector DB
Sessions: 1 | Time: 25 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
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 & 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 an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts