Search Torrents
|
Browse Torrents
|
48 Hour Uploads
|
TV shows
|
Music
|
Top 100
Audio
Video
Applications
Games
Porn
Other
All
Music
Audio books
Sound clips
FLAC
Other
Movies
Movies DVDR
Music videos
Movie clips
TV shows
Handheld
HD - Movies
HD - TV shows
3D
Other
Windows
Mac
UNIX
Handheld
IOS (iPad/iPhone)
Android
Other OS
PC
Mac
PSx
XBOX360
Wii
Handheld
IOS (iPad/iPhone)
Android
Other
Movies
Movies DVDR
Pictures
Games
HD - Movies
Movie clips
Other
E-books
Comics
Pictures
Covers
Physibles
Other
Details for:
Scutari M. The Pragmatic Programmer for Machine Learning...2023
scutari m pragmatic programmer machine learning 2023
Type:
E-books
Files:
1
Size:
7.7 MB
Uploaded On:
March 2, 2023, 1:02 p.m.
Added By:
andryold1
Seeders:
0
Leechers:
0
Info Hash:
C4B50424C864AC07F17A9EA49525A615B080E299
Get This Torrent
Textbook in PDF format Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions. Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models. From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers
Get This Torrent
Scutari M. The Pragmatic Programmer for Machine Learning...2023.pdf
7.7 MB
Similar Posts:
Category
Name
Uploaded
E-books
Scutari M. Bayesian Networks. With Examples in R 2ed 2021
Jan. 30, 2023, 7:17 a.m.