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@annie_moo13: ๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ we do love a silly cow! ๐Ÿฎ๐Ÿ’œ#cowsontiktok #cowlover #feelgoodfactor #holstein #moo

Annie-moo13 ๐Ÿฎ
Annie-moo13 ๐Ÿฎ
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Tuesday 23 September 2025 13:44:22 GMT
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Comments

tillytrends25
tillytrends25 :
Tell me Itโ€™s not ai
2025-09-26 13:47:06
409
zeinaaab.a
zeinaaab.a :
Hddidjduddopf
2026-10-09 21:56:11
0
tyrk011
Enezzzz๐Ÿ’ฏ๐Ÿ‡น๐Ÿ‡ท :
You have 30s
2025-11-07 15:22:29
331
leonie13874
๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽLeonie :
2025-09-25 18:30:09
2060
actorlaramie
Laramie Williams :
The way I scrolled past and then IMMEDIATELY scrolled back
2025-10-28 14:24:57
71
madilynszymanski
๐“œ๐“ช๐“ญ๐“ฒ๐Ÿ’– :
2025-09-28 00:40:25
619
moneykingx
Money :
I have a question ๐Ÿ˜ญ
2025-10-17 06:15:49
55
teglasbianca
Bianca Teglaศ™ :
Who is sheee????
2025-09-23 16:37:01
78
precious_leoo
precious_leoo ๐Ÿซ๐Ÿ’™ :
If my husband not like this I donโ€™t want him! ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚
2025-09-28 00:23:44
42
icelandic81
Missy :
Reasons why I love cows
2025-09-27 20:21:04
45
rebecka_priiiv
Rebecka :
2025-09-26 22:18:59
96
melinaauskiel24
Melina :
Da sehe ich ja mein Bruder ๐Ÿ˜‚๐Ÿ˜‚
2025-11-17 12:46:03
5
boja_zmucmurasta123
ะะฝั‚ะต :
2025-09-27 19:31:32
13
zeus83279
ฮ“ฮปฮฑฯฮบฮฟฯ‚ :
๐Ÿ˜‚๐Ÿ˜ณ๐Ÿ˜‚๐Ÿ˜ณ๐Ÿ˜‚
2025-09-27 16:18:22
29
elis14621
Z@zou=) :
comment ne pas rire face ร  รงa svp ๐Ÿคฃ๐Ÿคฃ
2025-09-26 16:25:56
42
leah.camilleri0
Leah Camilleri๐Ÿ’— :
I Lee ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚
2025-09-27 20:08:52
5
helenaaa_aaa1
Helena :
ovo sam ja โค๏ธโค๏ธโค๏ธ๐Ÿ”ฅ๐Ÿ”ฅ
2025-09-27 17:39:23
5
vanesamaria703
~Vanessa_15~โ˜†๐Ÿค๐Ÿฆญ :
nimeni nmk Denis รฎn ora de mate
2025-09-27 04:36:27
6
miss.oxytocin.fun
Miss Oxytocin fun Blue๐Ÿชฝ :
die hat Durst โ€ผ๏ธ๐Ÿ˜Ÿ
2025-10-02 14:45:26
7
jo_lie2602
>โ€ขJolieโ€ข< :
I love cows ๐ŸŒน
2025-11-14 19:20:29
7
lovisa.bendz
lovisa.bendz :
2025-09-26 10:15:03
16
manuelferreira6176
manu :
c'est panot dans un discours ๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ๐Ÿคฃ
2025-09-26 11:14:48
14
jasman5000
user7810153308520 :
Do cows have teeth.
2025-09-28 02:23:06
7
bori787bori
Bori :
2025-09-26 17:26:29
7
siham.bek.albrieu
โŸญโŸฌโท ใ‚ทใƒใƒ ๐ŸŒฑ :
2025-09-27 16:08:31
5
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I ranked 10 books for aspiring data scientists by when to read them, not by how good they are. ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ต๐—ฒ๐—ฟ๐—ฒ โ†’ Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (Gรฉron): gets you building real models in Python from the first chapters โ†’ An Introduction to Statistical Learning with Applications in Python: free, and explains why the models work, not just how to run them โ†’ Practical Statistics for Data Scientists: the statistics you will actually use at work ๐—ฅ๐—ฒ๐—ฎ๐—ฑ ๐—ป๐—ฒ๐˜…๐˜ โ†’ Designing Machine Learning Systems (Huyen): what happens to a model after the notebook โ†’ Data Science for Business (Provost and Fawcett): how to explain a model to the people who approve the budget โ†’ Trustworthy Online Controlled Experiments (Kohavi, Tang and Xu): A/B testing done properly ๐—ช๐—ต๐—ฒ๐—ป ๐˜†๐—ผ๐˜‚ ๐—ฎ๐—ฟ๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† โ†’ Deep Learning with Python (Chollet) โ†’ Build a Large Language Model (From Scratch) (Raschka) ๐—ž๐—ฒ๐—ฒ๐—ฝ ๐—ฎ๐˜€ ๐—ฎ ๐—ฟ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ (๐—ฏ๐—ผ๐˜๐—ต ๐—ณ๐—ฟ๐—ฒ๐—ฒ ๐—ผ๐—ป๐—น๐—ถ๐—ป๐—ฒ) โ†’ Interpretable Machine Learning (Molnar) โ†’ Mathematics for Machine Learning (Deisenroth, Faisal and Ong) If you only buy one, make it the first on the list, and read the free statistics book alongside it.
I ranked 10 books for aspiring data scientists by when to read them, not by how good they are. ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ต๐—ฒ๐—ฟ๐—ฒ โ†’ Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (Gรฉron): gets you building real models in Python from the first chapters โ†’ An Introduction to Statistical Learning with Applications in Python: free, and explains why the models work, not just how to run them โ†’ Practical Statistics for Data Scientists: the statistics you will actually use at work ๐—ฅ๐—ฒ๐—ฎ๐—ฑ ๐—ป๐—ฒ๐˜…๐˜ โ†’ Designing Machine Learning Systems (Huyen): what happens to a model after the notebook โ†’ Data Science for Business (Provost and Fawcett): how to explain a model to the people who approve the budget โ†’ Trustworthy Online Controlled Experiments (Kohavi, Tang and Xu): A/B testing done properly ๐—ช๐—ต๐—ฒ๐—ป ๐˜†๐—ผ๐˜‚ ๐—ฎ๐—ฟ๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† โ†’ Deep Learning with Python (Chollet) โ†’ Build a Large Language Model (From Scratch) (Raschka) ๐—ž๐—ฒ๐—ฒ๐—ฝ ๐—ฎ๐˜€ ๐—ฎ ๐—ฟ๐—ฒ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ (๐—ฏ๐—ผ๐˜๐—ต ๐—ณ๐—ฟ๐—ฒ๐—ฒ ๐—ผ๐—ป๐—น๐—ถ๐—ป๐—ฒ) โ†’ Interpretable Machine Learning (Molnar) โ†’ Mathematics for Machine Learning (Deisenroth, Faisal and Ong) If you only buy one, make it the first on the list, and read the free statistics book alongside it.

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