-
Notifications
You must be signed in to change notification settings - Fork 3
/
ML Books.txt
65 lines (45 loc) · 3.12 KB
/
ML Books.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
Siraj Top 10 books:
https://www.youtube.com/watch?v=1lxHH1UBTBU&t=615s
Points to https://github.com/SayantanMitra87/Data-Science-Books-1
The Master Algorithm:
-https://www.academia.edu/35296081/How_tHe_Quest_for_tHe_ultimate_learning_macHine_will_remake_our_world?auto=download
-https://github.com/tim-hub/machine-learning-books/blob/master/The%20Master%20Algorithm%20-%20How%20the%20Quest%20for%20the%20Ultimate%20Learning%20Machine%20Will%20Remake%20Our%20World%202015.pdf=
The Elements of Statistical Learning
-http://web.stanford.edu/~hastie/ElemStatLearn/
-http://web.stanford.edu/~hastie/ElemStatLearn/printings/ESLII_print12.pdf
-https://github.com/tpn/pdfs/blob/master/The%20Elements%20of%20Statistical%20Learning%20-%20Data%20Mining%2C%20Inference%20and%20Prediction%20-%202nd%20Edition%20(ESLII_print4).pdf
-https://www.researchgate.net/publication/225734295_The_Elements_of_Statistical_Learning_Data_Mining_Inference_and_Prediction
A First Course in Machine Learning by Simon Rogers and Mark Girolami
-https://www.researchgate.net/publication/261804084_A_First_Course_in_Machine_Learning_by_Simon_Rogers_and_Mark_Girolami
-https://github.com/wwkenwong/book/blob/master/Simon%20Rogers%2C%20Mark%20Girolami%20A%20First%20Course%20in%20Machine%20Learning.pdf
An Introduction to Statistical Learning
-http://www.ime.unicamp.br/~dias/Intoduction%20to%20Statistical%20Learning.pdf
-https://www-bcf.usc.edu/~gareth/ISL/ISLR%20First%20Printing.pdf
Introduction to Machine Learning with Python
-https://perso.limsi.fr/annlor/enseignement/ensiie/Intro_ML_Python.pdf
Artificial Intelligence A Modern Approach
-https://github.com/jack2684/cs76-ai/blob/master/Artificial%20Intelligence%20A%20Modern%20Approach%203rd%20Edition.pdf
Machine Learning A Probabilistic Perspective
-https://doc.lagout.org/science/Artificial%20Intelligence/Machine%20learning/Machine%20Learning_%20A%20Probabilistic%20Perspective%20%5BMurphy%202012-08-24%5D.pdf
An introduction to neural networks for beginners
https://adventuresinmachinelearning.com/wp-content/uploads/2017/07/An-introduction-to-neural-networks-for-beginners.pdf
Neural Networks – A Visual Introduction For Beginners - (NOT FINDING A PDF HERE - LOOKS GOOD WITH MATHS)
-https://rkbookreviews.wordpress.com/2018/06/19/neural-networks-a-visual-introduction-for-beginners/
A Begginer's guide to the Mathematics of Neural Networsks
-https://nms.kcl.ac.uk/ton.coolen/published/1998/summerschool98.pdf
Neural Networks for Beginners
https://arxiv.org/pdf/1703.05298.pdf
An introduction to neural networks
https://www.inf.ed.ac.uk/teaching/courses/nlu/assets/reading/Gurney_et_al.pdf
Deep Learning Book
https://www.deeplearningbook.org/front_matter.pdf
https://www.deeplearningbook.org/
General Resources
https://github.com/mravendi/data-science-machine-learning-ai-resources
https://github.com/wwkenwong/book
http://aima.cs.berkeley.edu/
https://www.academia.edu/30663104/heaton_j_artificial_intelligence_for_humans_volume_1_fundame.pdf
https://www.extension.harvard.edu/
https://www.brainscape.com/
https://github.com/ossu/data-science#deep-learning
http://datastori.es/