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1 Opening Credits
1/7/2024
2 Preface
1/7/2024
3 Introduction
1/7/2024
4 artificial intelligence
1/7/2024
5 differences between classical programming and artificial intelligence
1/7/2024
6 machine learning
1/7/2024
7 deep learning
1/7/2024
8 applied vs generalized ai
1/7/2024
9 machine learning features and labels
1/7/2024
10 machine learning training models
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11 machine learning training models types of training models
1/7/2024
12 machine learning training models hyperparameter tuning
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13 machine learning supervised learning
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14 machine learning supervised learning regression
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15 machine learning supervised learning classification
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16 machine learning supervised learning applications of supervised learning
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17 machine learning classification
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18 machine learning regression
1/7/2024
19 machine learning unsupervised learning
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20 machine learning unsupervised learning clustering
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21 machine learning unsupervised learning dimension reduction
1/7/2024
22 machine learning unsupervised learning applications of unsupervised learning
1/7/2024
23 reinforcement learning
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24 reinforcement learning applications of reinforcement learning
1/7/2024
25 generative ai
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26 generative ai generative ai algorithms
1/7/2024
27 large language models (llms)
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28 large language models (llms) popular llms
1/7/2024
29 large language models (llms) applications of llms
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30 openai
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31 openai popular openai products
1/7/2024
32 openai chatgpt
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33 openai openai models
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34 llama 2 meta ai
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35 llama 2 meta ai popular meta ai products
1/7/2024
36 llama 2 meta ai llama 2 meta ai models
1/7/2024
37 hugging face ai community
1/7/2024
38 hugging face ai community popular hugging face ai products
1/7/2024
39 hugging face ai community hugging face ai popular models
1/7/2024
40 langchain framework
1/7/2024
41 langchain framework langchain framework features
1/7/2024
42 langchain framework langchain use cases
1/7/2024
43 Appendix
1/7/2024
44 Bibliography
1/7/2024
45 Glossary
1/7/2024
46 Acknowledgment
1/7/2024
47 Ending Credits
1/7/2024