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This tutorial on What are AI Recommendation Systems by Simplilearn, begins with an introduction to AI recommendation engines, explaining what they are and how they work. You’ll then explore the phases of a recommendation system, starting with data gathering, where both explicit inputs (like user ratings) and implicit inputs (like clicks or browsing history) are collected. Next, you’ll learn how this data is stored in data warehouses, data lakes, or lakehouses, followed by an overview of data analytics. The course then moves into data filtering techniques, including collaborative filtering, content-based filtering, and hybrid models, which form the core logic of recommendations. You’ll also understand the importance of the feedback loop that keeps improving the system over time. Finally, we’ll discuss the advantages and disadvantages of using AI recommendation engines in real-world applications.

Following are the topics covered in AI Recommendation Engine:

00:00:00 Introduction to AI Recommendation Engines
00:02:28 What are AI Recommendation Engines
00:03:51 How do AI Recommendation Engines work?
Phases of AI Recommendation Engines
00:04:09 Data Gathering
00:04:33 Explicit Data Gathering
00:05:01 Implicit Data Gathering
00:05:44 Data Storage
Data Warehouse
Data Lakes
Data Lakehouses
00:06:21 Data Analytics
00:06:50 Data Filtering
Collaborative Based Filtering
1. Memory-based Collaborative Filtering
2. Content-based Collaborative Filtering
Hybrid Based Filtering
00:10:19 Feedback Loop
00:10:48 Advantages and Disadvantages of AI Recommendation Engine

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➡️ About the Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
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✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
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✅ Prompt Engineering
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✅ Supervised and Unsupervised Learning
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✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

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