AI Learner Hub

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Welcome to AI Learner Hub, your step-by-step learning path to mastering Artificial Intelligence, Machine Learning, Deep Learning, NLP, and Computer Vision. Whether you’re a complete beginner or an aspiring AI engineer, our playlists cover everything from AI fundamentals and math basics to cutting-edge AI tools and career guidance. Learn how AI works, explore real-world applications, and build your own projects — all explained in simple, beginner-friendly language. 🔹 What You'll Learn (Playlists include): • AI Fundamentals for Beginners • The Math Behind AI • Machine Learning Essentials • Deep Learning & Neural Networks • Natural Language Processing (NLP) • Computer Vision with AI • AI Tools & Career Paths • AI Ethics & Society Subscribe now and start your AI journey today! 🚀

Home Videos Live Playlists

ACE-STEP-1.5 - Music Box UI - Cool music player with unlimited playlist that plays what you want

ACE-STEP-1.5 - Music Box UI - Cool music player with unlimited playlist that plays what you want AI Learner Hub

196 views - 4 days ago

Insane AI Video Generation on 8GB VRAM — LTX-2 Explained

Insane AI Video Generation on 8GB VRAM — LTX-2 Explained AI Learner Hub

72 views - 3 weeks ago

Wan2.2 on 8GB VRAM: Run Advanced AI Video Generation Locally! (Optimization Guide)

Wan2.2 on 8GB VRAM: Run Advanced AI Video Generation Locally! (Optimization Guide) AI Learner Hub

470 views - 5 months ago

3.25 Your First Machine Learning Project: A Step-by-Step Walkthrough

3.25 Your First Machine Learning Project: A Step-by-Step Walkthrough AI Learner Hub

9 views - 5 months ago

3.24 Hyperparameter Tuning: Optimizing Your Machine Learning Models

3.24 Hyperparameter Tuning: Optimizing Your Machine Learning Models AI Learner Hub

7 views - 5 months ago

4.5 How Neural Networks Learn: The Magic of Backpropagation

4.5 How Neural Networks Learn: The Magic of Backpropagation AI Learner Hub

4 views - 5 months ago

GPT-OSS-20b Runned on 8Gb VRAM Windows 11

GPT-OSS-20b Runned on 8Gb VRAM Windows 11 AI Learner Hub

310 views - 5 months ago

4.4 Activation Functions: Bringing Your Neural Network to Life

4.4 Activation Functions: Bringing Your Neural Network to Life AI Learner Hub

3 views - 5 months ago

3.23 What is a "Model" in Machine Learning? (Clear Explanation)

3.23 What is a "Model" in Machine Learning? (Clear Explanation) AI Learner Hub

6 views - 5 months ago

4.3 Understanding Neural Networks: Layers, Neurons, and Connections Explained

4.3 Understanding Neural Networks: Layers, Neurons, and Connections Explained AI Learner Hub

38 views - 5 months ago

3.22 Introduction to Scikit-Learn: Building Your First Machine Learning Model

3.22 Introduction to Scikit-Learn: Building Your First Machine Learning Model AI Learner Hub

20 views - 5 months ago

4.2 The Perceptron: The Simplest Neural Network & AI's Historic First Step

4.2 The Perceptron: The Simplest Neural Network & AI's Historic First Step AI Learner Hub

4 views - 5 months ago

3.21 K-Nearest Neighbors (KNN): The Intuitive Algorithm That Simply Works

3.21 K-Nearest Neighbors (KNN): The Intuitive Algorithm That Simply Works AI Learner Hub

15 views - 5 months ago

4.1 Neural Networks Explained: Inspired by the Human Brain

4.1 Neural Networks Explained: Inspired by the Human Brain AI Learner Hub

15 views - 5 months ago

3.20 The Confusion Matrix Explained: Your Complete Guide to Model Evaluation

3.20 The Confusion Matrix Explained: Your Complete Guide to Model Evaluation AI Learner Hub

5 views - 5 months ago

3.19 Evaluating Your Model: Beyond Accuracy with Precision & Recall

3.19 Evaluating Your Model: Beyond Accuracy with Precision & Recall AI Learner Hub

2 views - 5 months ago

3.18 K-Means Clustering: The Ultimate Guide to Unsupervised Learning

3.18 K-Means Clustering: The Ultimate Guide to Unsupervised Learning AI Learner Hub

7 views - 5 months ago

3.17 Support Vector Machines (SVMs) Explained: A Visual Guide to Classification

3.17 Support Vector Machines (SVMs) Explained: A Visual Guide to Classification AI Learner Hub

12 views - 5 months ago

3.16 Random Forests Explained: The Power of Ensemble Learning in ML

3.16 Random Forests Explained: The Power of Ensemble Learning in ML AI Learner Hub

7 views - 5 months ago

3.15 Decision Trees Explained: How They Work & Build Intuitive ML Models

3.15 Decision Trees Explained: How They Work & Build Intuitive ML Models AI Learner Hub

3 views - 5 months ago

3.14 Logistic Regression: From Lines to Probabilities | Machine Learning Explained

3.14 Logistic Regression: From Lines to Probabilities | Machine Learning Explained AI Learner Hub

3 views - 5 months ago

3.13 Linear Regression: Your First ML Algorithm for Predicting Continuous Values

3.13 Linear Regression: Your First ML Algorithm for Predicting Continuous Values AI Learner Hub

23 views - 6 months ago

3.12 Bias-Variance Tradeoff: Core ML Concept Explained

3.12 Bias-Variance Tradeoff: Core ML Concept Explained AI Learner Hub

11 views - 6 months ago

Overfitting vs. Underfitting: Finding the Balance in Machine Learning | Expert Interview

Overfitting vs. Underfitting: Finding the Balance in Machine Learning | Expert Interview AI Learner Hub

13 views - 6 months ago

3.11 Overfitting vs. Underfitting: Finding the Perfect Balance in ML

3.11 Overfitting vs. Underfitting: Finding the Perfect Balance in ML AI Learner Hub

2 views - 6 months ago

3.10 Training, Validation & Test Sets: The Key to Proper ML Model Evaluation

3.10 Training, Validation & Test Sets: The Key to Proper ML Model Evaluation AI Learner Hub

1 views - 6 months ago

3.9 Feature Engineering: The Art of Creating Powerful ML Features

3.9 Feature Engineering: The Art of Creating Powerful ML Features AI Learner Hub

6 views - 6 months ago

3.8 Handling Missing Data: Essential Techniques for Machine Learning

3.8 Handling Missing Data: Essential Techniques for Machine Learning AI Learner Hub

2 views - 6 months ago

3.7 Data Preprocessing: The Critical First Step in Machine Learning

3.7 Data Preprocessing: The Critical First Step in Machine Learning AI Learner Hub

4 views - 6 months ago

3.6 Machine Learning Workflow: The Complete Step-by-Step Guide

3.6 Machine Learning Workflow: The Complete Step-by-Step Guide AI Learner Hub

4 views - 6 months ago

3.5 How to Frame Problems for Machine Learning: The 4-Step Blueprint

3.5 How to Frame Problems for Machine Learning: The 4-Step Blueprint AI Learner Hub

25 views - 6 months ago

3.4 Reinforcement Learning Explained: AI Through Trial & Error

3.4 Reinforcement Learning Explained: AI Through Trial & Error AI Learner Hub

4 views - 6 months ago

3.3 Unsupervised Learning Explained: Finding Hidden Patterns in Data

3.3 Unsupervised Learning Explained: Finding Hidden Patterns in Data AI Learner Hub

1 views - 6 months ago

3.2 Supervised Learning Explained: Learning with Labels

3.2 Supervised Learning Explained: Learning with Labels AI Learner Hub

3 views - 6 months ago

2.25 Essential Python Libraries for AI: NumPy, Pandas & More

2.25 Essential Python Libraries for AI: NumPy, Pandas & More AI Learner Hub

7 views - 6 months ago

2.24 The Math Behind Linear Regression: Putting AI Concepts Together

2.24 The Math Behind Linear Regression: Putting AI Concepts Together AI Learner Hub

1 views - 6 months ago

2.23 Gradient Descent Visually Explained: How AI Actually Learns

2.23 Gradient Descent Visually Explained: How AI Actually Learns AI Learner Hub

11 views - 6 months ago

2.22 Loss Functions Explained: How AI Measures Errors

2.22 Loss Functions Explained: How AI Measures Errors AI Learner Hub

6 months ago

2.21 Activation Functions Explained: Math Behind Neural Networks

2.21 Activation Functions Explained: Math Behind Neural Networks AI Learner Hub

7 views - 6 months ago

2.20: The Math of a Neuron: What Happens Inside an AI's Building Block

2.20: The Math of a Neuron: What Happens Inside an AI's Building Block AI Learner Hub

8 views - 6 months ago

2.19 PCA Explained Visually: Taming the Curse of Dimensionality with Math

2.19 PCA Explained Visually: Taming the Curse of Dimensionality with Math AI Learner Hub

10 views - 6 months ago

2.18 Eigenvectors & Eigenvalues Made Simple: The Math Behind PCA and Google's Algorithm

2.18 Eigenvectors & Eigenvalues Made Simple: The Math Behind PCA and Google's Algorithm AI Learner Hub

5 views - 6 months ago

2.17 Graph Theory in AI: How Neural Networks Map Relationships & Connections

2.17 Graph Theory in AI: How Neural Networks Map Relationships & Connections AI Learner Hub

17 views - 6 months ago

2.16 Set Theory for Data Science: The Hidden Foundation of Data Organization

2.16 Set Theory for Data Science: The Hidden Foundation of Data Organization AI Learner Hub

5 views - 6 months ago

2.15 Logarithms & Exponents in AI: The Powerful Partnership Powering Algorithms

2.15 Logarithms & Exponents in AI: The Powerful Partnership Powering Algorithms AI Learner Hub

2 views - 6 months ago

2.14 What is a Function in AI? From Simple Rules to Neural Networks Explained

2.14 What is a Function in AI? From Simple Rules to Neural Networks Explained AI Learner Hub

7 views - 6 months ago

2.13 Probability Distributions Every AI Learner Should Know

2.13 Probability Distributions Every AI Learner Should Know AI Learner Hub

5 views - 6 months ago

2.12 Standard Deviation & Variance – Understanding Data Spread in AI

2.12 Standard Deviation & Variance – Understanding Data Spread in AI AI Learner Hub

7 views - 6 months ago

2.11 Mean, Median, and Mode Explained – AI Statistics for Beginners

2.11 Mean, Median, and Mode Explained – AI Statistics for Beginners AI Learner Hub

4 views - 6 months ago

2.10 Descriptive vs. Inferential Statistics in AI – Simple Guide for Beginners

2.10 Descriptive vs. Inferential Statistics in AI – Simple Guide for Beginners AI Learner Hub

16 views - 6 months ago

2.9 Statistics for AI: From Basics to Key Concepts

2.9 Statistics for AI: From Basics to Key Concepts AI Learner Hub

12 views - 6 months ago

2.8 Bayes' Theorem Explained with Simple Examples

2.8 Bayes' Theorem Explained with Simple Examples AI Learner Hub

11 views - 6 months ago

2.7 Probability Theory for AI: Understanding Uncertainty

2.7 Probability Theory for AI: Understanding Uncertainty AI Learner Hub

25 views - 6 months ago

2.6 The Chain Rule: The Engine of Backpropagation

2.6 The Chain Rule: The Engine of Backpropagation AI Learner Hub

10 views - 6 months ago

2.5 Calculus for AI: Grasping Gradients & Optimization

2.5 Calculus for AI: Grasping Gradients & Optimization AI Learner Hub

37 views - 6 months ago

2.4 Understanding Tensors for Deep Learning

2.4 Understanding Tensors for Deep Learning AI Learner Hub

11 views - 6 months ago

2.3 Vectors and Matrices: The Building Blocks of Data

2.3 Vectors and Matrices: The Building Blocks of Data AI Learner Hub

15 views - 6 months ago

2.2 Linear Algebra for AI: A Visual Introduction

2.2 Linear Algebra for AI: A Visual Introduction AI Learner Hub

42 views - 6 months ago

3.1 What is Machine Learning? A Practical Introduction.

3.1 What is Machine Learning? A Practical Introduction. AI Learner Hub

2 views - 6 months ago

2.1 Why Math is Crucial for AI

2.1 Why Math is Crucial for AI AI Learner Hub

31 views - 6 months ago