Download Machine Learning with PyTorch and Scikit Learn Develop machine learning and deep learning models with Python. Free Torrent from The RarBg

:Search:

XXX content

Latest 100 Movies Trending 10 in all category 4K Movies Remux 4K Movies 1080p Movies Remux 1080p Movies 720p Movies 480p Movies x265 Movies Remux x265 Movies x264 Movies Remux BluRay Movies BluRay Movies 60FPS Trending 100 Movies 4K ITA Movies ITA 1080p Movies ITA 720p Movies ITA 480p Movies EvilAngel XXX 26 04 15 XXX TonightsGirlfriend XXX blacked XXX TushyRaw XXX Vixen XXX Trending 100 XXX 4K XXX 1080p XXX 720p XXX 480p XXX x265 XXX x264 XXX WWE TV Show UFC TV Show 4K TV 1080p TV 720p TV 480p TV x265 TV x264 TV BluRay TV Trending 100 TV FLAC Quality Music 320kbps Music POP Music Trending 100 Music

Machine Learning with PyTorch and Scikit Learn Develop machine learning and deep learning models with Python

Torrent:

Magnet Download .torrent File

Info Hash: 8B199F77BBC3BD3F919F74F882EB3381F46C1C8E

Loading report information...

Thumbnail:

Similar Posts:

Name	Uploaded	Size	Se	Le	Upl. by
Machine Learning in Information and Communication Technology Proceedi…	2023-06-23	10.0 MB	8	1	FreeCourseWeb
Machine Learning and Knowledge Extraction 6th IFIP TC 5 DevCourseWeb	2023-07-01	97.6 MB	0	0	FreeCourseWeb
Machine Learning for Dummies 2nd Edition True AZW3 DevCourseWeb	2023-06-22	3.4 MB	0	4	FreeCourseWeb
Machine Learning on Kubernetes A practical handbook for building and …	2023-07-01	37.1 MB	12	9	FreeCourseWeb
Machine Learning For The Web	2023-07-01	21.3 MB	0	1	nico1899
Machine Learning Fundamentals A Concise Introduction BookRAR	2023-07-01	63.9 MB	1	0	bookrar
Machine Learning with Dynamics 365 and Power Platform The Ultimate Gu…	2023-07-01	11.1 MB	12	4	FreeCourseWeb
Machine Learning for Risk Calculations A Practitioner s View by Ignac…	2023-07-01	24.0 MB	1	0	zakareya
Machine Learning for High Risk Applications Second Release DevCourseW…	2023-07-01	13.2 MB	9	1	FreeCourseWeb
Machine Learning Revised and Updated Edition BookRAR	2023-07-01	7.9 MB	0	0	bookrar

Uploader:

freecoursewb

Source:

1337x

Downloads:

165

Type:

E-Books

Images:

Machine Learning with PyTorch and Scikit Learn Develop machine learning and deep learning models with Python

Language:

English

Category:

Other

Size:

461.6 MB

Added:

Oct. 24, 2023, 1:26 a.m.

Peers:

Seeders: 6, Leechers: 0 (Last updated: 10 months, 3 weeks ago)

Tracker Data:

Tracker	Seeders	Leechers	Completed
udp://tracker.opentrackr.org:1337/announce	3	0	76
udp://tracker.openbittorrent.com:6969/announce (Failed to scrape UDP tracker)	0	0	0
udp://tracker.internetwarriors.net:1337/announce (Failed to scrape UDP tracker)	0	0	0
udp://tracker.leechers-paradise.org:6969/announce (Failed to scrape UDP tracker)	0	0	0
udp://tracker.coppersurfer.tk:6969/announce (Failed to scrape UDP tracker)	0	0	0
udp://exodus.desync.com:6969/announce (Failed to scrape UDP tracker)	0	0	0
udp://tracker.rarbg.torrentbay.st:6969/announce	0	0	0
udp://tracker.tiny-vps.com:6969/announce	0	0	3
udp://open.demonii.si:1337/announce (Failed to scrape UDP tracker)	0	0	0
udp://tracker.torrent.eu.org:451/announce	3	0	86

Files:

Get Bonus Downloads Here.url 182 bytes
9781801819312-MACHINELEARNINGWITHPYTORCHANDSCIKITLEARN.pdf 29.3 MB
9781801819312.epub 60.6 MB
LICENSE.txt 1.1 KB
README.md 3.0 KB
Software and hardware list.pdf 114.5 KB
README.md 3.6 KB
ch01.ipynb 5.8 MB
convert_notebook_to_script.py 2.4 KB
01_01.png?43858?v=1.05 361.6 KB
01_02.png?43858?v=1.05 311.9 KB
01_03.png?43858?v=1.05 730.2 KB
01_04.png?43858?v=1.05 489.5 KB
01_05.png?43858?v=1.05 85.4 KB
01_06.png?43858?v=1.05 504.0 KB
01_07.png?43858?v=1.05 616.8 KB
01_08.png?43858?v=1.05 820.7 KB
01_09.png?43858?v=1.05 487.7 KB
python_environment_check.ipynb 1.2 KB
README.md 871 bytes
ch02.ipynb 2.9 MB
ch02.py 15.3 KB
02_01.png?43858?v=1.05 534.9 KB
02_02.png?43858?v=1.05 181.5 KB
02_03.png?43858?v=1.05 241.6 KB
02_04.png?43858?v=1.05 235.6 KB
02_05.png?43858?v=1.05 32.8 KB
02_06.png?43858?v=1.05 54.9 KB
02_07.png?43858?v=1.05 71.8 KB
02_08.png?43858?v=1.05 79.9 KB
02_09.png?43858?v=1.05 369.0 KB
02_10.png?43858?v=1.05 139.1 KB
02_11.png?43858?v=1.05 122.1 KB
02_12.png?43858?v=1.05 163.8 KB
02_13.png?43858?v=1.05 229.0 KB
02_14.png?43858?v=1.05 182.5 KB
02_15_1.png?43858?v=1.05 98.4 KB
02_15_2.png?43858?v=1.05 55.5 KB
iris.data 4.6 KB
iris.names.txt 3.0 KB
README.md 1.3 KB
ch03.ipynb 3.5 MB
ch03.py 18.2 KB
03_01.png?43858?v=1.05 155.9 KB
03_02.png?43858?v=1.05 44.2 KB
03_03.png?43858?v=1.05 459.5 KB
03_04.png?43858?v=1.05 84.4 KB
03_05.png?43858?v=1.05 86.8 KB
03_06.png?43858?v=1.05 160.2 KB
03_07.png?43858?v=1.05 142.9 KB
03_08.png?43858?v=1.05 61.6 KB
03_09.png?43858?v=1.05 287.3 KB
03_10.png?43858?v=1.05 142.7 KB
03_11.png?43858?v=1.05 161.3 KB
03_12.png?43858?v=1.05 76.0 KB
03_13.png?43858?v=1.05 392.5 KB
03_14.png?43858?v=1.05 147.0 KB
03_15.png?43858?v=1.05 161.9 KB
03_16.png?43858?v=1.05 150.3 KB
03_17.png?43858?v=1.05 228.4 KB
03_18.png?43858?v=1.05 189.4 KB
03_19.png?43858?v=1.05 154.7 KB
03_20.png?43858?v=1.05 146.9 KB
03_21.png?43858?v=1.05 141.6 KB
03_21_1.png?43858?v=1.05 202.9 KB
03_22.png?43858?v=1.05 148.5 KB
03_23.png?43858?v=1.05 112.8 KB
03_24.png?43858?v=1.05 162.1 KB
03_25.png?43858?v=1.05 311.6 KB
03_26.png?43858?v=1.05 72.6 KB
README.md 1.1 KB
ch04.ipynb 2.0 MB
ch04.py 15.5 KB
04_01.png?43858?v=1.05 23.9 KB
04_02.png?43858?v=1.05 162.0 KB
04_03.png?43858?v=1.05 106.2 KB
04_04.png?43858?v=1.05 131.8 KB
04_05.png?43858?v=1.05 315.4 KB
04_06.png?43858?v=1.05 434.9 KB
04_07.png?43858?v=1.05 416.6 KB
04_08.png?43858?v=1.05 209.8 KB
04_09.png?43858?v=1.05 73.2 KB
04_10.png?43858?v=1.05 86.2 KB
wine.data 10.7 KB
wine.names.txt 3.1 KB
README.md 1.0 KB
ch05.ipynb 884.8 KB
ch05.py 19.5 KB
05_01.png?43858?v=1.05 97.9 KB
05_02.png?43858?v=1.05 69.2 KB
05_03.png?43858?v=1.05 65.2 KB
05_04.png?43858?v=1.05 109.6 KB
05_05.png?43858?v=1.05 79.8 KB
05_05_02.png?43858?v=1.05 84.6 KB
05_05_03.png?43858?v=1.05 84.6 KB
05_06.png?43858?v=1.05 175.3 KB
05_07.png?43858?v=1.05 58.4 KB
05_08.png?43858?v=1.05 62.7 KB
05_09.png?43858?v=1.05 110.3 KB
05_10.png?43858?v=1.05 80.0 KB
05_11.png?43858?v=1.05 200.1 KB
05_12.png?43858?v=1.05 16.5 KB
05_13.png?43858?v=1.05 224.5 KB
wine.data 10.7 KB
wine.names.txt 3.1 KB
README.md 1.1 KB
ch06.ipynb 3.1 MB
ch06.py 16.1 KB
06_01.png?43858?v=1.05 307.1 KB
06_02.png?43858?v=1.05 349.3 KB
06_03.png?43858?v=1.05 406.1 KB
06_04.png?43858?v=1.05 705.5 KB
06_05.png?43858?v=1.05 104.0 KB
06_06.png?43858?v=1.05 152.6 KB
06_07.png?43858?v=1.05 395.1 KB
06_08.png?43858?v=1.05 81.1 KB
06_09.png?43858?v=1.05 17.7 KB
06_10.png?43858?v=1.05 181.0 KB
wdbc.data 121.8 KB
wdbc.names.txt 4.7 KB
README.md 1.0 KB
ch07.ipynb 3.5 MB
ch07.py 22.9 KB
07_01.png?43858?v=1.05 109.0 KB
07_02.png?43858?v=1.05 265.8 KB
07_03.png?43858?v=1.05 107.7 KB
07_04.png?43858?v=1.05 146.9 KB
07_05.png?43858?v=1.05 138.7 KB
07_06.png?43858?v=1.05 346.9 KB
07_07.png?43858?v=1.05 247.0 KB
07_08.png?43858?v=1.05 95.4 KB
07_09.png?43858?v=1.05 562.6 KB
07_10.png?43858?v=1.05 208.3 KB
07_11.png?43858?v=1.05 93.5 KB
07_12.png?43858?v=1.05 46.0 KB
07_13.png?43858?v=1.05 121.3 KB
07_14.png?43858?v=1.05 179.1 KB
07_15.png?43858?v=1.05 234.5 KB
07_16.png?43858?v=1.05 202.9 KB
wine.data 10.7 KB
wine.names.txt 3.1 KB
README.md 915 bytes
ch08.ipynb 56.6 KB
ch08.py 23.0 KB
movie_data.csv 62.8 MB
AmesHousing.txt 941.2 KB
DataDocumentation.txt 19.8 KB
README.md 1.1 KB
ch09.ipynb 1.1 MB
ch09.py 19.7 KB
09_01.png?43858?v=1.05 161.2 KB
09_01_2.png?43858?v=1.05 301.0 KB
09_02.png?43858?v=1.05 34.3 KB
09_03.png?43858?v=1.05 663.3 KB
09_04.png?43858?v=1.05 627.2 KB
09_05.png?43858?v=1.05 171.2 KB
09_06.png?43858?v=1.05 42.2 KB
09_07.png?43858?v=1.05 182.7 KB
09_08.png?43858?v=1.05 202.2 KB
09_09.png?43858?v=1.05 118.9 KB
09_10.png?43858?v=1.05 137.0 KB
09_11.png?43858?v=1.05 93.5 KB
09_12.png?43858?v=1.05 189.0 KB
09_13.png?43858?v=1.05 178.1 KB
09_14.png?43858?v=1.05 142.8 KB
09_15.png?43858?v=1.05 201.9 KB
09_16.png?43858?v=1.05 86.8 KB
README.md 876 bytes
ch10.ipynb 1.2 MB
ch10.py 14.0 KB
10_01.png?43858?v=1.05 125.4 KB
10_02.png?43858?v=1.05 114.3 KB
10_03.png?43858?v=1.05 73.8 KB
10_04.png?43858?v=1.05 37.1 KB
10_05.png?43858?v=1.05 116.5 KB
10_06.png?43858?v=1.05 37.2 KB
10_07.png?43858?v=1.05 414.6 KB
10_08.png?43858?v=1.05 32.0 KB
10_09.png?43858?v=1.05 79.3 KB
10_10.png?43858?v=1.05 32.9 KB
10_11.png?43858?v=1.05 29.0 KB
10_12.png?43858?v=1.05 47.0 KB
10_13.png?43858?v=1.05 352.5 KB
10_14.png?43858?v=1.05 104.9 KB
10_15.png?43858?v=1.05 175.5 KB
10_16.png?43858?v=1.05 126.0 KB
README.md 961 bytes
ch11.ipynb 4.8 MB
ch11.py 13.7 KB
11_01.png?43858?v=1.05 250.8 KB
11_02.png?43858?v=1.05 317.2 KB
11_03.png?43858?v=1.05 76.3 KB
11_04.png?43858?v=1.05 20.1 KB
11_05.png?43858?v=1.05 29.4 KB
11_06.png?43858?v=1.05 295.8 KB
11_07.png?43858?v=1.05 55.4 KB
11_08.png?43858?v=1.05 75.5 KB
11_09.png?43858?v=1.05 136.9 KB
11_10.png?43858?v=1.05 287.8 KB
11_11.png?43858?v=1.05 668.4 KB
11_12.png?43858?v=1.05 840.5 KB
11_13.png?43858?v=1.05 1012.5 KB
11_14.png?43858?v=1.05 91.7 KB
neuralnet.py 3.4 KB
README.md 1.7 KB
cat-01.jpg?042148?042148 136.4 KB
cat-02.jpg?042148?042148 148.7 KB
cat-03.jpg?042148?042148 119.8 KB
dog-01.jpg?042148?042148 132.3 KB
dog-02.jpg?042148?042148 252.1 KB
dog-03.jpg?042148?042148 208.0 KB
ch12_part1.ipynb 1.8 MB
ch12_part1.py 11.1 KB
ch12_part2.ipynb 563.5 KB
ch12_part2.py 11.6 KB
12_01.png?43858?v=1.05 85.9 KB
12_02.png?43858?v=1.05 88.9 KB
12_03.pdf 213.7 KB
12_04.pdf 333.1 KB
12_05.pdf 331.3 KB
12_06.pdf 14.5 KB
12_07.pdf 7.6 KB
12_08.pdf 12.6 KB
12_09.pdf 13.7 KB
12_10.pdf 14.5 KB
12_11.png?43858?v=1.05 327.2 KB
celeba-files.png?43858?v=1.05 31.1 KB
gdrive-download-location-1.png?43858?v=1.05 27.9 KB
gdrive-download-location-2.png?43858?v=1.05 26.3 KB
gdrive-download-location-3.png?43858?v=1.05 14.8 KB
README.md 1.3 KB
ch13_part1.ipynb 549.1 KB
ch13_part1.py 13.5 KB
ch13_part2.ipynb 206.4 KB
ch13_part2.py 6.8 KB
ch13_part3_lightning.ipynb 344.2 KB
ch13_part3_lightning.py 6.7 KB
ch13_part4_ignite.ipynb 239.0 KB
ch13_part4_ignite.py 13.2 KB
13_07.png?43858?v=1.05 128.7 KB
13_09.png?43858?v=1.05 101.1 KB
13_10.png?43858?v=1.05 24.4 KB
13_11.png?43858?v=1.05 109.5 KB
ignite-01.png?43858?v=1.05 160.0 KB
epoch=17-step=15479.ckpt 308.5 KB
events.out.tfevents.1643132087.Sebastian-Air.local.8211.0 17.9 KB
events.out.tfevents.1643132134.Sebastian-Air.local.8211.1 179 bytes
hparams.yaml 4 bytes
events.out.tfevents.1643132137.Sebastian-Air.local.8211.2 38.1 KB
events.out.tfevents.1643132232.Sebastian-Air.local.8211.3 182 bytes
events.out.tfevents.1643132233.Sebastian-Air.local.8211.4 179 bytes
hparams.yaml 4 bytes
README.md 2.9 KB
ch14_part1.ipynb 1.7 MB
ch14_part1.py 12.3 KB
ch14_part2.ipynb 2.6 MB
ch14_part2.py 12.6 KB
example-image.png?43858?v=1.05 21.8 KB
14_01.png?43858?v=1.05 284.7 KB
14_02.png?43858?v=1.05 23.3 KB
14_03.png?43858?v=1.05 201.0 KB
14_04.png?43858?v=1.05 55.8 KB
14_05.png?43858?v=1.05 250.8 KB
14_06.png?43858?v=1.05 27.6 KB
14_07.png?43858?v=1.05 98.2 KB
14_08.png?43858?v=1.05 54.2 KB
14_09.png?43858?v=1.05 76.0 KB
14_10.png?43858?v=1.05 29.6 KB
14_11.png?43858?v=1.05 62.5 KB
14_12.png?43858?v=1.05 94.1 KB
14_13.png?43858?v=1.05 32.0 KB
14_14.png?43858?v=1.05 12.0 KB
1268-0.txt 1.1 MB
README.md 1.2 KB
ch15_part1.ipynb 1.2 MB
ch15_part1.py 3.2 KB
ch15_part2.ipynb 167.0 KB
ch15_part2.py 11.0 KB
ch15_part3.ipynb 1.4 MB
ch15_part3.py 7.8 KB
15_01.png?43858?v=1.05 43.5 KB
15_02.png?43858?v=1.05 81.8 KB
15_03.png?43858?v=1.05 27.0 KB
15_04.png?43858?v=1.05 102.5 KB
15_05.png?43858?v=1.05 48.1 KB
15_06.png?43858?v=1.05 130.4 KB
15_07.png?43858?v=1.05 126.7 KB
15_08.png?43858?v=1.05 37.5 KB
15_09.png?43858?v=1.05 301.1 KB
15_10.png?43858?v=1.05 102.9 KB
15_11.png?43858?v=1.05 394.5 KB
15_12.png?43858?v=1.05 70.6 KB
15_13.png?43858?v=1.05 42.9 KB
15_14.png?43858?v=1.05 73.1 KB
15_15.png?43858?v=1.05 257.7 KB
15_16.png?43858?v=1.05 185.7 KB
README.md 1.5 KB
ch16-part1-self-attention.ipynb 5.8 MB
ch16-part1-self-attention.py 7.6 KB
ch16-part2-gpt2.ipynb 6.6 MB
ch16-part2-gpt2.py 2.1 KB
ch16-part3-bert.ipynb 104.1 KB
ch16-part3-bert.py 8.8 KB
16_01.png?43858?v=1.05 681.9 KB
16_02.png?43858?v=1.05 265.9 KB
16_03.png?43858?v=1.05 664.9 KB
16_04.png?43858?v=1.05 281.7 KB
16_05.png?43858?v=1.05 849.9 KB
16_06.png?43858?v=1.05 479.0 KB
16_07.png?43858?v=1.05 255.5 KB
16_08.png?43858?v=1.05 563.5 KB
16_09.png?43858?v=1.05 404.6 KB
16_10.png?43858?v=1.05 1.2 MB
16_11.png?43858?v=1.05 1.6 MB
16_12.png?43858?v=1.05 1.5 MB
16_13.png?43858?v=1.05 1.2 MB
16_14.png?43858?v=1.05 168.1 KB
16_15.png?43858?v=1.05 690.9 KB
16_16.png?43858?v=1.05 188.2 KB
16_17.png?43858?v=1.05 985.9 KB
README.md 1.1 KB
ch17_part1.ipynb 7.1 MB
ch17_part1.py 12.8 KB
ch17_part2.ipynb 2.5 MB
ch17_part2.py 13.0 KB
17_01.png?43858?v=1.05 492.5 KB
17_02.png?43858?v=1.05 2.2 MB
17_03.png?43858?v=1.05 1.7 MB
17_04.png?43858?v=1.05 356.6 KB
17_05.png?43858?v=1.05 72.1 KB
17_06.png?43858?v=1.05 68.2 KB
17_07.png?43858?v=1.05 29.1 KB
17_08.png?43858?v=1.05 188.3 KB
17_09.png?43858?v=1.05 125.7 KB
17_10.png?43858?v=1.05 236.3 KB
17_11.png?43858?v=1.05 587.8 KB
17_12.png?43858?v=1.05 203.0 KB
17_13.png?43858?v=1.05 174.2 KB
17_14.png?43858?v=1.05 236.5 KB
17_15.png?43858?v=1.05 182.6 KB
17_16.png?43858?v=1.05 68.1 KB
17_17.png?43858?v=1.05 101.3 KB
README.md 1.0 KB
ch18_part1.ipynb 11.3 MB
ch18_part1.py 9.3 KB
ch18_part2.ipynb 2.5 MB
ch18_part2.py 5.0 KB
18_01.png?43858?v=1.05 280.1 KB
18_02.png?43858?v=1.05 328.9 KB
18_03.png?43858?v=1.05 128.3 KB
18_04.png?43858?v=1.05 1.5 MB
18_05.png?43858?v=1.05 623.9 KB
18_06.png?43858?v=1.05 509.8 KB
18_07.png?43858?v=1.05 1.1 MB
18_08.png?43858?v=1.05 1.0 MB
18_09.png?43858?v=1.05 1.6 MB
18_10.png?43858?v=1.05 492.7 KB
18_11.png?43858?v=1.05 906.6 KB
18_12.png?43858?v=1.05 283.9 KB
18_13.png?43858?v=1.05 1.8 MB
README.md 2.0 KB
main.py 5.7 KB
ch19.ipynb 4.8 MB
19_01.png?43858?v=1.05 275.0 KB
19_02.png?43858?v=1.05 95.2 KB
19_03.png?43858?v=1.05 165.0 KB
19_04.png?43858?v=1.05 819.1 KB
19_05.png?43858?v=1.05 182.5 KB
19_06.png?43858?v=1.05 130.6 KB
19_07.png?43858?v=1.05 136.8 KB
19_08.png?43858?v=1.05 60.9 KB
19_09.png?43858?v=1.05 365.7 KB
19_10.png?43858?v=1.05 972.6 KB
19_11.png?43858?v=1.05 160.7 KB
19_12.png?43858?v=1.05 83.6 KB
19_13.png?43858?v=1.05 214.7 KB
agent.py 2.1 KB
gridworld_env.py 8.0 KB
qlearning.py 2.6 KB
convert_notebook_to_script.py 2.4 KB
HEAD 21 bytes
config 309 bytes
description 73 bytes
applypatch-msg.sample 478 bytes
commit-msg.sample 896 bytes
fsmonitor-watchman.sample 4.5 KB
post-update.sample 189 bytes
pre-applypatch.sample 424 bytes
pre-commit.sample 1.6 KB
pre-merge-commit.sample 416 bytes
pre-push.sample 1.3 KB
pre-rebase.sample 4.8 KB
pre-receive.sample 544 bytes
prepare-commit-msg.sample 1.5 KB
push-to-checkout.sample 2.7 KB
update.sample 3.6 KB
index 34.4 KB
exclude 240 bytes
HEAD 196 bytes
main 196 bytes
HEAD 196 bytes
pack-0f48181b8b0c051c40c7d403bfb95ecde41a358a.idx 19.2 KB
pack-0f48181b8b0c051c40c7d403bfb95ecde41a358a.pack 156.4 MB
packed-refs 383 bytes
main 41 bytes
HEAD 30 bytes
gitignore 409 bytes
cover_1.jpg?042148?042148 84.9 KB
python_environment_check.py 1.6 KB
update_python_from_notebook.sh 261 bytes
Bonus Resources.txt 386 bytes

Discussion

Leave a comment