AI & ML Algorithms and their Practical Applications

大小 938.66 MB

文件数 37

Info Hash: 79CD0BD62E0F7C72533C46009F82570816D5918B

收录时间 2026-01-04 10:02:27

更新时间 2026-01-04 10:02:27

文件列表 (37)

Lesson 6 Deep Learning/004. 6.3 Convolutional Neural Networks (CNN) for Image Recognition.mp4

94.28 MB

Lesson 1 An Introduction to the World of Artificial Intelligence and Machine Learning/001. Learning objectives.mp4

2.86 MB

Lesson 1 An Introduction to the World of Artificial Intelligence and Machine Learning/002. 1.1 A Brief History of AI and ML.mp4

14.66 MB

Lesson 1 An Introduction to the World of Artificial Intelligence and Machine Learning/003. 1.2 AI and ML Definitions.mp4

28.09 MB

Lesson 1 An Introduction to the World of Artificial Intelligence and Machine Learning/004. 1.3 Discriminative vs. Generative AI.mp4

12.08 MB

Lesson 2 Unsupervised Learning/001. Learning objectives.mp4

8.22 MB

Lesson 2 Unsupervised Learning/002. 2.1 Clustering Principles.mp4

25.64 MB

Lesson 2 Unsupervised Learning/003. 2.2 How K-means Works, Advantages and Limitations.mp4

73.34 MB

Lesson 2 Unsupervised Learning/004. 2.3 Hierarchical Clustering.mp4

29.78 MB

Lesson 2 Unsupervised Learning/005. 2.4 DBSCAN for Complex Shapes.mp4

31.76 MB

Lesson 3 Supervised Learning/001. Learning objectives.mp4

4.14 MB

Lesson 3 Supervised Learning/002. 3.1 Predictive Functions.mp4

15.49 MB

Lesson 3 Supervised Learning/003. 3.2 Linear Regression Fitting a Curve with Training Data.mp4

24.8 MB

Lesson 3 Supervised Learning/004. 3.3 The Cost Function.mp4

4.02 MB

Lesson 3 Supervised Learning/005. 3.4 Gradient Descent.mp4

20.45 MB

Lesson 3 Supervised Learning/006. 3.5 The Machine Learning Workflow.mp4

13.49 MB

Lesson 3 Supervised Learning/007. 3.6 Classification 1 Logistical Regression.mp4

15.07 MB

Lesson 3 Supervised Learning/008. 3.7 Classification 2 - Support Vector Machines (SVM).mp4

24.34 MB

Lesson 4 Random Forests/001. Learning objectives.mp4

7.01 MB

Lesson 4 Random Forests/002. 4.1 Why Use Trees.mp4

13.38 MB

Lesson 4 Random Forests/003. 4.2 Build Your First Tree.mp4

52.38 MB

Lesson 4 Random Forests/004. 4.3 Build a Full Forest.mp4

21.61 MB

Lesson 5 Reinforcement Learning/001. Learning objectives.mp4

5.18 MB

Lesson 5 Reinforcement Learning/002. 5.1 Why Reinforcement Learning.mp4

13.13 MB

Lesson 5 Reinforcement Learning/003. 5.2 Understanding Reinforcement Learning Components and Framework.mp4

30.56 MB

Lesson 5 Reinforcement Learning/004. 5.3 The Bellman Value Equation.mp4

10.26 MB

Lesson 5 Reinforcement Learning/005. 5.4 Q-Learning.mp4

28.76 MB

Lesson 6 Deep Learning/001. Learning objectives.mp4

6.65 MB

Lesson 6 Deep Learning/002. 6.1 Why is this Learning Deep .mp4

73.24 MB

Lesson 6 Deep Learning/003. 6.2 Artificial Neural Networks (ANN) step-by-step.mp4

50.21 MB

Introduction/001. AI and ML Algorithm Foundations Introduction.mp4

29.6 MB

Lesson 7 An Introduction to Large Language Models/001. Learning objectives.mp4

4.5 MB

Lesson 7 An Introduction to Large Language Models/002. 7.1 How did Large Language Models (LLMs) Develop.mp4

29.29 MB

Lesson 7 An Introduction to Large Language Models/003. 7.2 Word Embedding.mp4

40.75 MB

Lesson 7 An Introduction to Large Language Models/004. 7.3 Transformers.mp4

38.74 MB

Lesson 7 An Introduction to Large Language Models/005. 7.4 Advanced Topics.mp4

30.45 MB

Summary/001. AI and ML Algorithm Foundations Summary.mp4

10.44 MB

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