Welcome to the premiere of our AI/ML Essential Series! In Session 0, we kickstart our journey by providing a comprehensive high-level overview of AI/ML concepts. Whether you're new to the world of Artificial Intelligence (AI) and Machine Learning (ML) or seeking a refresher, this session is designed to lay the groundwork for understanding key principles and terminology.<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 />Session 18 : Quick Recap | AI/ML Essential | Concept overview for AI/ML Beginners<br />https://youtu.be/dtUNavdq3HU<br /><br />#ai #ml #artificialintelligence #machinelearning #beginnerfriendly #conceptoverview #recap #aiconcepts #MLConcepts #aiforbeginners #mlforbeginners #learnai #LearnML #aiexplained #MLExplained #techeducation #datascience #deeplearning #neuralnetworks #aicommunity #mlcommunity #supervisedlearning #unsupervisedlearning #classification #regressionmodels #clustering #dimensionreduction #reinforcementlearning #reinforcement #decisionmaking<br />
