Fundraising September 15, 2024 – October 1, 2024 About fundraising

Building Machine Learning Powered Applications: Going From...

Main
Computers - Computer Science
Building Machine Learning Powered...

Building Machine Learning Powered Applications: Going From Idea To Product

Emmanuel Ameisen

0 / 0

How much do you like this book?

What’s the quality of the file?

Download the book for quality assessment

What’s the quality of the downloaded files?

Categories:

Computers - Computer Science

Year:

2020

Edition:

1

Publisher:

O'Reilly Media

Language:

english

ISBN 10:

149204511X

ISBN 13:

9781492045113

File:

AZW3 , 16.67 MB

IPFS:

,

english, 2020

Read Online

Conversion to is in progress

Conversion to is failed

You may be interested in

Valliappa Lakshmanan ;Sara Robinson ; Michael Munn — Machine Learning Design Patterns

Jim Dowling — Building Machine Learning Systems with a Feature Store (for St forme)

Chen, Cathy;Murphy, Niall Richard;Parisa, Kranti;Sculley, D.;Underwood, Todd; — Reliable Machine Learning

-- — Optimizing AI and Machine Learning Solutions: Your ultimate guide to building high-impact ML/AI solutions

Madani, Ali;MacKinnon, Stephen; — Debugging Machine Learning Models with Python

Patrick Hall, James Curtis, and Parul Pandey — Machine Learning for High-Risk Applications (11th Early Release)

Patrick Hall, James Curtis, Parul Pandey — Machine Learning for High-Risk Applications

Lewis Tunstall, Leandro von Werra, Thomas Wolf — Natural Language Processing with Transformers

Lewis Tunstall, Leandro von Werra, Thomas Wolf — Natural Language Processing with Transformers

Cathy Chen & Niall Richard Murphy & Kranti Parisa & D. Sculley & Todd Underwood — Reliable Machine Learning (Third Early Release)

Cathy Chen & Niall Richard Murphy & Kranti Parisa & D. Sculley & Todd Underwood — Reliable Machine Learning (Eighth Early Release)

Chip Huyen — Designing Machine Learning Systems

Chip Huyen — Designing Machine Learning Systems

Valliappa Lakshmanan — Machine Learning Design Patterns

Emmanuel Ameisen [Ameisen, Emmanuel] — Building Machine Learning Powered Applications: Going From Idea to Product

Emmanuel Ameisen — Building Machine Learning Powered Applications: Going from Idea to Product

Arseny Kravchenko, Valerii Babushkin — Machine Learning System Design (MEAP V04)

S. D. Prabu Ragavendiran, Vasile Daniel Pavaloaia, M S Mekala, Antonio Sarasa Cabezuelo — Innovations and Advances in Cognitive Systems: ICIACS 2024, Volume 1

Kalicharan Mahasivabhattu, Deepti Bandi — Ultimate Machine Learning with ML.NET

Mirza Rahim Baig — Optimizing AI and Machine Learning Solutions: Your Ultimate Guide to Building High-Impact Ml/Ai Solutions

Most frequently terms