AI & ML Algorithms and their Practical Applications

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Introduction

001. AI and ML Algorithm Foundations Introduction.mp4

05:16

002. AI and ML Algorithm Foundations Introduction.mp4

05:16

Lesson 1 An Introduction to the World of Artificial Intelligence and Machine Learning

001. Learning objectives.mp4

00:34

002. 1.1 A Brief History of AI and ML.mp4

04:13

003. 1.2 AI and ML Definitions.mp4

07:47

004. 1.3 Discriminative vs. Generative AI.mp4

03:28

Lesson 2 Unsupervised Learning

001. Learning objectives.mp4

01:20

002. 2.1 Clustering Principles.mp4

05:14

003. 2.2 How K-means Works, Advantages and Limitations.mp4

16:12

004. 2.3 Hierarchical Clustering.mp4

08:07

005. 2.4 DBSCAN for Complex Shapes.mp4

07:47

Lesson 3 Supervised Learning

001. Learning objectives.mp4

00:48

002. 3.1 Predictive Functions.mp4

04:18

003. 3.2 Linear Regression Fitting a Curve with Training Data.mp4

08:48

004. 3.3 The Cost Function.mp4

01:15

005. 3.4 Gradient Descent.mp4

05:59

006. 3.5 The Machine Learning Workflow.mp4

04:00

007. 3.6 Classification 1 Logistical Regression.mp4

04:23

008. 3.7 Classification 2 - Support Vector Machines (SVM).mp4

06:51

Lesson 4 Random Forests

001. Learning objectives.mp4

01:11

002. 4.1 Why Use Trees.mp4

03:16

003. 4.2 Build Your First Tree.mp4

15:08

004. 4.3 Build a Full Forest.mp4

06:25

Lesson 5 Reinforcement Learning

001. Learning objectives.mp4

01:00

002. 5.1 Why Reinforcement Learning.mp4

03:33

003. 5.2 Understanding Reinforcement Learning Components and Framework.mp4

09:08

004. 5.3 The Bellman Value Equation.mp4

03:06

005. 5.4 Q-Learning.mp4

08:34

Lesson 6 Deep Learning

001. Learning objectives.mp4

01:06

002. 6.1 Why is this Learning Deep .mp4

17:46

003. 6.2 Artificial Neural Networks (ANN) step-by-step.mp4

11:46

004. 6.3 Convolutional Neural Networks (CNN) for Image Recognition.mp4

23:29

Lesson 7 An Introduction to Large Language Models

001. Learning objectives.mp4

00:53

002. 7.1 How did Large Language Models (LLMs) Develop.mp4

09:04

003. 7.2 Word Embedding.mp4

10:45

004. 7.3 Transformers.mp4

11:48

005. 7.4 Advanced Topics.mp4

09:20

Summary

001. AI and ML Algorithm Foundations Summary.mp4

01:54

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