Building Machine Learning Systems

Machine Learning Systems: Designs that scale eBooks & eLearning

Posted by hill0 at Dec. 21, 2019

Machine Learning Systems: Designs that scale

Reactive Machine Learning Systems
by Jeff Smith
English | 2018 | ISBN: 1617293334 | 253 Pages | EPUB | 3 MB

Reactive Machine Learning Systems eBooks & eLearning

Posted by hill0 at July 14, 2018

Reactive Machine Learning Systems

Reactive Machine Learning Systems
by Jeff Smith
English | 2018 | ISBN: 1617293334 | 253 Pages | PDF conv | 10.40 MB

Reactive Machine Learning Systems eBooks & eLearning

Posted by hill0 at Dec. 3, 2018

Reactive Machine Learning Systems

Reactive Machine Learning Systems
by Jeff Smith
English | 2018 | ISBN: 1617293334 | 253 Pages | PDF true | 5.76 MB

Building Machine Learning Models in Spark 2 eBooks & eLearning

Posted by naag at June 23, 2018

Building Machine Learning Models in Spark 2

Building Machine Learning Models in Spark 2
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3.5 Hours | 405 MB
Genre: eLearning | Language: English

Building Machine Learning Pipelines [Early Release] eBooks & eLearning

Posted by hill0 at Oct. 1, 2019

Building Machine Learning Pipelines [Early Release]

Building Machine Learning Pipelines
by Catherine Nelson, Hannes Hapke
English | 2020 | ISBN: 9781492053170 | 94 Pages | EPUB | 2.55 MB

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations eBooks & eLearning

Posted by at Oct. 12, 2024

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations by Hien Luu, Max Pumperla, Zhe Zhang
English | June 18, 2024 | ISBN: 8868803755 | 349 pages | MOBI | 8.20 Mb

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations eBooks & eLearning

Posted by at June 17, 2024

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations
English | 2024 | ASIN: B0CZQMFYF6 | 342 pages | PDF | 6.33 MB

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations eBooks & eLearning

Posted by at June 18, 2024

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations (True)
English | 2024 | ASIN: B0CZQMFYF6 | 342 pages | True PDF,EPUB | 11.84 MB

Understand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness.

Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition eBooks & eLearning

Posted by First1 at Sept. 29, 2018

Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition

Natural Language Processing with Java: Techniques for building machine learning and neural network models for NLP, 2nd Edition by Richard M. Reese, AshishSingh Bhatia
English | September 18th, 2018 | ISBN: 1788993497 | 318 Pages | EPUB (True/HQ) | 13.97 MB

Explore various approaches to organize and extract useful text from unstructured data using Java

Interperetable AI: Building Explainable Machine Learning Systems eBooks & eLearning

Posted by hill0 at July 4, 2022

Interperetable AI: Building Explainable Machine Learning Systems

Interperetable AI: Building Explainable Machine Learning Systems
English | 2022 | ISBN: 161729764X | 275 Pages | EPUB | 19 MB