Welcome to Session 18 of our AI/ML Essentials series! In this session, we provide a quick recap of key concepts covered so far, making it easier for beginners to catch up and reinforce their understanding of artificial intelligence and machine learning. Whether you're just starting your journey into AI/ML or looking to refresh your knowledge, this concise overview will help you grasp fundamental concepts and build a solid foundation. Dive in and deepen your understanding of the fascinating world of AI and ML! Don't forget to like, subscribe, and hit the notification bell to stay updated on future sessions.<br /><br />Session 1 : AI/ML Essentials | Your First Step into AI/ML Tech | AI/ML for Beginners<br />https://youtu.be/G6fLzneze6k<br /><br />Session 2 : What is AI! What You Need to Know About Artificial Intelligence | For Beginners<br />https://youtu.be/m2LB3eWc0aM<br /><br />Session 3 : What is ML Explained! What You Need to Know About Machine Learning | For Beginners<br />https://youtu.be/_B5FNalkMxo<br /><br />Session 4 : What is Deep Learning! What You Need to Know About Deep Learning | For Beginners<br />https://youtu.be/QhFzDYyT8Uc<br /><br />Session 5 : AI Explained | What is Applied AI vs. Generalized AI : A Beginner's Guide!<br />https://youtu.be/xiYD5pfGuhg<br /><br />Session 6 : Why AI and ML Are Trending | What's Driving the Hype? | AI/ML Today<br />https://youtu.be/_5jJZUd2piE<br /><br />SESSION 7 : Key Components of ML : Understanding Features, Labels, and Labelled Data in ML!<br />https://youtu.be/RZvguBwm1lQ<br /><br />Session 8 : Concept of Machine Learning | How Machines Learn: A Simple Explanation | For Beginners<br />https://youtu.be/bhKmWhQtpoY<br /><br />Session 9 : Aiming for Generalization | Overcoming Underfit and Overfit Models<br />https://youtu.be/vtsP-aAscTc<br /><br />Session 10 : Learning AI : Beginners Guide to Supervised Machine Learning | ML Fundamentals<br />https://youtu.be/udgzC5N_lBQ<br /><br />Session 11 : What is Classification Task in Supervised machine Learning | Beginner-Friendly ML<br />https://youtu.be/OTprvnYKymw<br /><br />Session 12 : What is Regression Models for Predictions | Core Concept | Overview in Machine Learning<br />https://youtu.be/DOyp10Ixi-E<br /><br />Session 13 : What and Why Unsupervised ML: Clustering & Dimension Reduction Basics<br />https://youtu.be/HHt6dHaiYvA<br /><br />Session 14 : Clustering in Machine Learning | The Importance of Clustering in Data Analysis<br />https://youtu.be/pInors1RnJg<br /><br />Session 15 : What is Dimension Reduction | Explained: A Beginner's Guide for Data Scientists<br />https://youtu.be/WHkLbMTHyKY<br /><br />Session 16 : What is Reinforcement Learning | Explained: Key Concepts and Model Breakdown<br />https://youtu.be/ZA5VPI0L9mA<br /><br />Session 17 : Intelligent Decision Agent Idea : Reinforcement Learning Use-Case | Concept overview<br />https://youtu.be/yoLj0IPad0o<br /><br />YouTube : https://www.youtube.com/@LearnAndGrowCommunity<br />LinkedIn Group : https://linkedin.com/company/LearnAndGrowCommunity<br />Follow #LearnAndGrowCommunity<br /><br />#ai #ml #artificialintelligence #machinelearning #beginnerfriendly #conceptoverview #recap #aiconcepts #MLConcepts #aiforbeginners #mlforbeginners #learnai
