AI and Machine Learning Explained - Invidious

AI and Machine Learning Explained

Welcome to AI and Machine Learning Explained, where we simplify the fascinating world of artificial intelligence and machine learning. Our channel covers a range of topics, including Artificial Intelligence Basics, Machine Learning Algorithms, Deep Learning Techniques, and Natural Language Processing. We also discuss Supervised vs. Unsupervised Learning, Neural Networks Explained, and the impact of AI in Business and Everyday Life.

Join us as we make complex concepts more accessible and relatable, ensuring you stay informed about the Future of Machine Learning.

DISCLAIMER: The content on this channel is independently created and not affiliated with any brands, products, or organizations mentioned. All trademarks belong to their respective owners. While we strive for accuracy, please verify information through official sources.

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3:12

What Is Hinge Loss For Max-Margin Classification?

AI and Machine Learning Explained

Shared 15 minutes ago

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3:15

What Are The Key Steps In Preparing CNN Input Data?

AI and Machine Learning Explained

Shared 30 minutes ago

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3:20

What Is The Purpose Of A Convolutional Operation?

AI and Machine Learning Explained

Shared 39 minutes ago

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3:14

How Do Output Layers Handle Regression Tasks In CNNs?

AI and Machine Learning Explained

Shared 54 minutes ago

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3:32

When Should You Use Flattening Before CNN Dense Layers?

AI and Machine Learning Explained

Shared 1 hour ago

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3:31

Why Is Feature Scaling Essential For ML Models?

AI and Machine Learning Explained

Shared 1 hour ago

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3:05

Why Do CNNs Need A Flattening Layer Before Dense?

AI and Machine Learning Explained

Shared 1 hour ago

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3:06

What Role Does The Output Layer Play In CNNs?

AI and Machine Learning Explained

Shared 1 hour ago

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3:18

How Do Convolutional Layers Extract Features?

AI and Machine Learning Explained

Shared 2 hours ago

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3:20

When Should We Apply KL Divergence For Optimization?

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Shared 2 hours ago

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3:36

Does SARSA's Policy Differ From Q-Learning's Policy?

AI and Machine Learning Explained

Shared 2 hours ago

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3:03

Why Is Flattening Necessary Before CNN Dense Layers?

AI and Machine Learning Explained

Shared 2 hours ago

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3:32

What Is The Purpose Of Train, Validation, And Test Sets?

AI and Machine Learning Explained

Shared 3 hours ago

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3:54

What Is The Role Of KL Divergence In Generative Models?

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Shared 3 hours ago

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3:05

Why Is Epsilon-Greedy Important For SARSA?

AI and Machine Learning Explained

Shared 3 hours ago

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3:17

What Are Binary Cross-Entropy's Core Components?

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Shared 3 hours ago

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3:15

What Is The Purpose Of An Output Layer In Deep Learning?

AI and Machine Learning Explained

Shared 4 hours ago

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2:52

What Are The Properties Of The Hinge Loss Function?

AI and Machine Learning Explained

Shared 4 hours ago

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3:36

What Role Does Feature Engineering Play In Data Science?

AI and Machine Learning Explained

Shared 4 hours ago

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3:11

How Does Data Discretization Work?

AI and Machine Learning Explained

Shared 4 hours ago

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2:52

Is Feature Engineering Part Of Data Preprocessing Steps?

AI and Machine Learning Explained

Shared 5 hours ago

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4:01

Why Is Feature Engineering Essential For ML Models?

AI and Machine Learning Explained

Shared 5 hours ago

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3:44

Why Use KL Divergence For Probability Distributions?

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Shared 5 hours ago

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3:16

What Does MSE Measure In Deep Learning Regression?

AI and Machine Learning Explained

Shared 6 hours ago

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3:19

What Is Feature Engineering In Machine Learning?

AI and Machine Learning Explained

Shared 6 hours ago

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3:03

What Is The Purpose Of Flattening For CNN Dense Layers?

AI and Machine Learning Explained

Shared 6 hours ago

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4:16

How Does Relative Entropy Relate To KL Divergence?

AI and Machine Learning Explained

Shared 6 hours ago

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3:30

What Is The Function Of A Neural Network Output Layer?

AI and Machine Learning Explained

Shared 6 hours ago

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3:27

Why Choose Sparse Categorical Cross-Entropy For Classification?

AI and Machine Learning Explained

Shared 7 hours ago

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3:53

How Is A CNN's Final Prediction Determined?

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Shared 7 hours ago

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3:33

What Is The Underlying Logic Of Cross-Entropy Loss?

AI and Machine Learning Explained

Shared 7 hours ago

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2:56

Why Is Feature Engineering An Iterative Process?

AI and Machine Learning Explained

Shared 7 hours ago

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3:14

How Does A Flattening Layer Prepare Data For Dense Layers?

AI and Machine Learning Explained

Shared 8 hours ago

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3:23

How Do CNN Feature Maps Become Dense Layer Input?

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Shared 8 hours ago

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2:59

When Should You Use Feature Discretization?

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Shared 8 hours ago

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3:29

What Is Kullback-Leibler Divergence In Deep Learning?

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Shared 9 hours ago

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3:00

How Does Probability Relate To Cross-Entropy Loss Math?

AI and Machine Learning Explained

Shared 9 hours ago

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3:08

What Is The Mathematical Intuition Behind Cross-Entropy Loss?

AI and Machine Learning Explained

Shared 9 hours ago

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3:53

How Does Feature Engineering Prepare Data For ML?

AI and Machine Learning Explained

Shared 9 hours ago

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3:46

What Are The Policy Differences In SARSA And Q-Learning?

AI and Machine Learning Explained

Shared 9 hours ago

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2:49

When Does A CNN Use A Softmax Output Layer?

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Shared 10 hours ago

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2:54

How Does Flattening Convert Multidimensional Data For Dense Layers?

AI and Machine Learning Explained

Shared 10 hours ago

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3:55

What Does Flattening Do To CNN Feature Maps For Dense Layers?

AI and Machine Learning Explained

Shared 10 hours ago

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3:19

How Do CNN Filters Extract Image Features?

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Shared 10 hours ago

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3:18

Why Use Sparse Categorical Cross-Entropy In Neural Networks?

AI and Machine Learning Explained

Shared 11 hours ago

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3:18

What Is The Purpose Of Text Preprocessing In NLP?

AI and Machine Learning Explained

Shared 11 hours ago

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2:56

Why Does Cross-Entropy Loss Use Logarithms?

AI and Machine Learning Explained

Shared 11 hours ago

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3:50

How Does Epsilon-Greedy Balance Exploration And Exploitation In SARSA?

AI and Machine Learning Explained

Shared 11 hours ago

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3:25

How Does KL Divergence Function As A Loss?

AI and Machine Learning Explained

Shared 12 hours ago

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3:15

How Does Epsilon-Greedy Work In SARSA?

AI and Machine Learning Explained

Shared 12 hours ago

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3:40

How Does Cross-Entropy Loss Penalize Errors Mathematically?

AI and Machine Learning Explained

Shared 12 hours ago

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3:35

When Should Different Loss Functions Be Used In Models?

AI and Machine Learning Explained

Shared 12 hours ago

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3:30

How Does A Convolutional Filter Work In CNNs?

AI and Machine Learning Explained

Shared 13 hours ago

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4:37

How Is Cross-Entropy Loss Derived Mathematically?

AI and Machine Learning Explained

Shared 13 hours ago

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3:30

When Do You Use Sparse Categorical Cross-Entropy Loss?

AI and Machine Learning Explained

Shared 13 hours ago

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3:26

How Do Evaluation Metrics Reflect Training Performance?

AI and Machine Learning Explained

Shared 13 hours ago

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3:36

How Does A Typical CNN Architecture Function?

AI and Machine Learning Explained

Shared 14 hours ago

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3:41

Why Is SARSA Prone To Certain Theoretical Disadvantages?

AI and Machine Learning Explained

Shared 14 hours ago

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3:14

What Are Basic Text Features In Machine Learning Models?

AI and Machine Learning Explained

Shared 14 hours ago

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3:22

What Is The Purpose Of The SARSA Tuple?

AI and Machine Learning Explained

Shared 14 hours ago

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