├── Deep Learning.pdf
├── Machine Learning Lecture Notes.pdf
├── README.md
└── visual_notes.pdf
/Deep Learning.pdf:
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https://raw.githubusercontent.com/gajuahmd10/Machine-Learning-Starter/fc159277e9484807da6a5928a433be54b221117d/Deep Learning.pdf
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/Machine Learning Lecture Notes.pdf:
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https://raw.githubusercontent.com/gajuahmd10/Machine-Learning-Starter/fc159277e9484807da6a5928a433be54b221117d/Machine Learning Lecture Notes.pdf
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/README.md:
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1 | # Machine Learning Starter
2 |
3 |
4 |
5 | In this repository, You will find notes and resources about Machine learning, Deep learning Computer Vision & other stuff.
6 |
7 | - Neural Networks from Scratch
8 | - 30 Days Of Python
9 | - Course, Resource of Machine Learning A-Z™: AI, Python & R [Udemy]
10 | - Machine Learning From Scratch
11 | - Machine Learning Examples
12 | - Grokking-Machine-Learning [Book Implementation]
13 | - Deep Learning Models
14 | - Deep Learning Notes
15 | - Deep Learning Coursera
16 | - Deep Learning Specialization on Coursera
17 | - The Algorithms - Python
18 | - Basics Of Libaries
19 | - Basic of Pytorch
20 | - Basics of Tensorflow
21 | - Bangla on ML
22 |
23 | ### NLP
24 | - Vinija's Notes • CS224n: Natural Language Processing with Deep Learning
25 |
26 | ### Deep Learning
27 | - annotated_deep_learning_paper_implementations
28 |
29 |
30 | ### LLM
31 | - [1hr Talk] Intro to Large Language Models
32 | - Deep Dive into LLMs like ChatGPT
33 | - Let's build the GPT Tokenizer
34 | - -Information-Retrieval-using-Langchain-
35 | - LLM-Finetuning
36 |
37 |
38 | ### LINUX
39 | - Learn Linux Command
40 |
41 |
42 | ### Dataset
43 | - Google dataset search
44 | -
45 | NLP Database
46 |
47 |
48 |
49 |
50 |
51 | ## Noes Fron Andrew NG
52 |
53 | - Deep Learning pdf:
54 | Best way to learn Deep Learning.
55 | 
56 |
57 | - Visual Notes from him :
58 | 
59 |
60 |
61 |
62 |
63 | - Machine Learning Notes:
64 | Here will find several algorithms and their descriptions.
65 |
66 | 
67 |
68 |
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/visual_notes.pdf:
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https://raw.githubusercontent.com/gajuahmd10/Machine-Learning-Starter/fc159277e9484807da6a5928a433be54b221117d/visual_notes.pdf
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