🔥Artificial Intelligence [2026 Updated] | Artificial Intelligence Course | Artificial Intelligence And Machine Learning Tutorials | Simplilearn - What Is An AI Recommendation System? | How AI Recommendation Systems Work? | Simplilearn

️🔥 Michigan - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=eYFf5LwVb0Y&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=eYFf5LwVb0Y&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=eYFf5LwVb0Y&utm_medium=DescriptionFirstFold&utm_source=Youtube 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 ⏩ Check out More AI and ML Videos By Simplilearn: https://www.youtube.com/playlist?list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq #RecommendationSystem #AiRecommendationSystem #generativeAI #AI #GenAI #ArtificialIntelligence #simplilearn #2025 ➡️ 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 ✅ Eligibility for a campus immersion program organized at IIT Guwahati ✅ Exclusive hackathons and “ask-me-anything” sessions by IBM ✅ Certificates for IBM courses and industry masterclasses by IBM experts ✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects ✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more ✅ Simplilearn's JobAssist helps you get noticed by top hiring companies Skills Covered: ✅ Generative AI ✅ Prompt Engineering ✅ Chatbot Development ✅ Supervised and Unsupervised Learning ✅ Model Training and Optimization ✅ Model Evaluation and Validation ✅ 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 👉 Learn More At: https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=eYFf5LwVb0Y&utm_medium=Description&utm_source=Youtube