Artificial Intelligence

What is Reinforcement Learning? Easy AI Tutorial for Beginners

Reinforcement Learning Explained | Complete Beginner's Guide to RL in Machine Learning | AI Campus Learn Reinforcement Learning (RL) from sc...

Cross Validation, Evaluation Design, 27B

🚀 Course: Scikit-Learn A to Z 🔁 Module 27: Cross Validation 🧠 Lecture B: Evaluation Design 👇 Link to the notebook: https://tinyurl.com/2...

Intro to ML - Unit 9 Lecture - Reinforcement Learning - Summer 2026

156-103 Introduction to Machine Learning. Recorded during a live class session for GTC on 7-8-2026. This video covers Unit 9 concepts. Topic...

Lecture 10 - Reinforcement Learning (RL)

This lecture introduces Reinforcement Learning (RL), the branch of machine learning where an agent learns to make sequential decisions by in...

Introduction to Unsupervised Learning | Machine Learning Tutorial | #PCTI

Our Artificial Intelligence & Machine Learning course. In this video, you'll learn the fundamentals of Unsupervised Learning, one of the mos...

Machine Learning Data Preprocessing Tutorial. Data Cleaning, Encoding, Scaling & Feature Engineering

Data Preprocessing in Machine Learning Explained | Complete Tutorial | ML Day 33 Machine Learning Data Preprocessing for Beginners | Data Cl...

Reinforcement Learning Explained - Find the Treasure Grid World - Animated Learning

Watch how an AI learns to explore and find the best reward. In this video, we enter a simple grid world where an agent navigates through tun...

Unsupervised Learning Part 2

🚀 Unsupervised Learning Explained in Tamil | Clustering, Association Rules & Anomaly Detection 🤖

In Episode 4, we explored Supervised Learning and learned how AI makes predictions using labeled data. Now it's time to explore a completely...

Model Evaluation & Metrics : Accuracy, F1 Score, Cross-Validation, Overfitting & Data Leakage

Your machine learning model is only as good as the way you evaluate it. In this lesson, we break down the fundamentals of model evaluation a...

Cleaning & Preparing Data for Machine Learning — The Complete Pipeline | Master AI & ML, E8

Data scientists spend 80% of their time cleaning data — not building models. In this episode we walk through the complete data preparation p...

10 Anomaly Detection with Unsupervised Learning

KNN Algorithm Explained for Beginners | Classification, Regression & Distance Metrics

Welcome to MatrixMind SK! In this video, we dive into the K-Nearest Neighbors (KNN) Algorithm, one of the most intuitive and beginner-friend...

Regularization The Secret Sauce to Taming Over-Excited Models

Have you ever experienced the frustration of a machine learning model performing perfectly on training data, only to utterly fail in the rea...

Reinforcement Learning Basics | Agents, Rewards & Environment Explained (Dr Anjum)-Episode 18 a

Welcome to the world of Reinforcement Learning — the Machine Learning paradigm behind intelligent agents, robotics, gaming AI, and autonomou...

RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

Reinforcement learning is becoming central to agentic systems, but moving from RL for LLMs to RL for agents introduces a new set of challeng...

Reinforcement Learning Explained Simply 🤖 | Agents, Environment & Rewards | Ch 6 – Pt 1

🚀 Want to understand Reinforcement Learning in the simplest way possible? In this video, we break down the core concepts of Reinforcement L...

Data Preprocessing in Machine Learning (Step-by-Step for Beginners) #machinelearning

🚀 Struggling with messy data in Machine Learning? In this video, you’ll learn **Data Preprocessing step-by-step** — one of the most importa...

Data Preprocessing Techniques 17th Mar 2026

In Machine Learning, these methods are known as Data Preprocessing. 📊 What is Data Preprocessing? Data Preprocessing involves cleaning and....

Cross-Validation Explained | K-Fold, Stratified, LOOCV & Nested CV

Cross-Validation in Machine Learning | K-Fold, Stratified, LOOCV & Nested CV Explained Why does your model score 99% during training—then co...

Unsupervised Learning: Every Algorithm Explained

Learn everything you need to know about unsupervised learning. This video covers: k-means clustering, clustering evaluation, hierarchical cl...

Regularization in Deep Learning | Dropout | Early Stopping | L2 Regularization | Explained with Code

📘 Notes: https://robosathi.com/docs/deep_learning/regularization/ 🎥 Deep Learning Playlist: https://www.youtube.com/playlist?list=PLnpa6KP...

Unsupervised Learning Explained: Clustering & Anomaly Detection (2026 Guide)

What is Unsupervised Learning? In this video, we explore how machine learning algorithms find patterns in unlabeled data. Using simple analo...

Data Preprocessing| Data Wrangling| Complete lecture| Python

Learn Data Preprocessing in Machine Learning step by step with practical Python examples. In this video, you’ll understand how to clean, tra...

Reinforcement Learning Explained: The Science of Infinite Trial and Error in AI

Dive into the fascinating world of Reinforcement Learning (RL) with our animated explainer! This video breaks down complex Machine Learning....

The Learning Loop — How Agents Learn from Rewards | RL Course EP1

What happens when you drop a robot into a maze with no map, no instructions, and no teacher? It learns. In this first episode of The Essence...

Unsupervised Learning | Introduction to Artificial Intelligence | Chapter 2

Unsupervised Learning is a type of machine learning where models analyze data without labeled outputs. Instead of being told what to look fo...

Optimizing and Regularizing Neural Networks

Optimizing and Regularizing Neural Networks

Anomaly detection for cyber security with KMeans Clustering (part 1)

Anomaly detection for cyber security with KMeans Clustering (part 1) Instructor: Ricardo A. Calix, Ph.D. My books: https://amzn.to/4eDUYSZ D...

Reinforcement Learning Zero to Hero in 8 Minutes (2026 Roadmap)

Master Reinforcement Learning FAST in 2026! 🚀 From zero to hero: MDPs → DQN → PPO → RLHF → LLM-powered agents in just 8 minutes. What you'l...

What Is Stratified K-Fold Cross-Validation?

Ever wondered how to make your machine learning models more robust and reliable, especially when dealing with imbalanced datasets? Stratifie...

Supervised Learning: Tasks, Algorithms, and Metrics

1.6 Cross-Validation

SOA Exam SRM - Statistics for Risk Modeling Cross-Validation The Validation Set Approach: https://www.youtube.com/watch?v=l8HiNKfpzLM&list=P...

Data Transformations in C# Using ML.NET (Missing Values, Normalization, One-Hot Encoding)

We walk through essential data transformation techniques in C# using ML.NET. You’ll learn how to: Use Transformers to build repeatable data-...

Which Deep Learning Models Require L2 Regularization?

Ever wondered which deep learning models truly benefit from L2 regularization? This video dives into the scenarios where this technique is m...

Data Preprocessing for AI | Clean, Encode & Normalize Your Data (Beginner Friendly)

Data is the heart of every AI model — but raw data is often messy! In this episode, you’ll learn the essential preprocessing techniques that...

Tutorial: Reinforcement Learning; The Intuition Behind Policy Gradients by Dr. Arnu Pretorius

Dive into the fascinating world of Reinforcement Learning (RL) — the branch of AI where agents learn by interacting with their environment t...

Unsupervised Learning

How do machines discover patterns without being told what to look for? In this educational explainer, Unsupervised Learning introduces one o...

Data Cleaning with Python (Full Course) | Step-by-Step Guide for Data Analyst & Data Science

This video is your complete guide to Data Cleaning with Python one of the most important and time-consuming parts of every Data Analyst and....

L-19: Cross- Validation and Classification Accuracy | Machine Learning

In this lecture, we explore Cross-Validation and Classification Accuracy, two essential techniques used to evaluate the performance of Machi...

What are RLVR environments for LLMs? | Policy - Rollouts - Rubrics

🦋 check out prime intellect's envrionment hub to publish, explore and use RL environment: https://app.primeintellect.ai/dashboard/environme...

Regularization techniques for Deep Learning

Lesson: https://github.com/zelal-Eizaldeen/deeplearning_course/blob/main/3_11regularization.ipynb #pythoncoding #ai #dl #education #kuwait #...

Reinforcement Learning in AI & ML | Agents, Rewards & Environments | AI & ML – Chapter 25

Welcome to AI & ML – Chapter 25! In this session, we’ll explore the fundamentals of Reinforcement Learning (RL), one of the most exciting ar...

Understanding Data Transformation: Normalization, Encoding, and Feature Scaling in Machine Learning

Learn how to prepare raw data for machine learning by mastering key data transformation techniques. This lesson covers essential steps such....

How Do You Design A Good Reward Function For RL Agents? - AI and Machine Learning Explained

How Do You Design A Good Reward Function For RL Agents? Have you ever wondered how AI agents learn to perform complex tasks effectively? In....

How Do ML Evaluation Metrics Affect Algorithm Performance? - AI and Machine Learning Explained

How Do ML Evaluation Metrics Affect Algorithm Performance? Are you curious about how the effectiveness of machine learning models is measure...

How Do You Choose Evaluation Metrics For ML Algorithms? - AI and Machine Learning Explained

How Do You Choose Evaluation Metrics For ML Algorithms? Are you curious about how to evaluate the performance of your machine learning model...

How Do You Design Good Reward Functions For RL Agents? - AI and Machine Learning Explained

How Do You Design Good Reward Functions For RL Agents? Are you curious about how to create effective reward systems for reinforcement learni...