More Books:

Machine Learning Engineering
Language: en
Pages: 310
Authors: Andriy Burkov
Categories:
Type: BOOK - Published: 2020-09-08 - Publisher: True Positive Incorporated

From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov
Machine Learning Engineering with MLflow
Language: en
Pages: 248
Authors: Natu Lauchande
Categories: Computers
Type: BOOK - Published: 2021-08-27 - Publisher: Packt Publishing Ltd

Get up and running, and productive in no time with MLflow using the most effective machine learning engineering approach Key Features Explore machine learning workflows for stating ML problems in a concise and clear manner using MLflow Use MLflow to iteratively develop a ML model and manage it Discover and
Machine Learning Engineering with Python
Language: en
Pages: 276
Authors: Andrew P. McMahon
Categories: Computers
Type: BOOK - Published: 2021-11-05 - Publisher: Packt Publishing Ltd

Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments Key Features Explore hyperparameter optimization and model management tools Learn object-oriented programming and functional programming in Python to build your own ML libraries and packages Explore key ML engineering
Machine Learning Engineering in Action
Language: en
Pages: 300
Authors: Ben Wilson
Categories: Computers
Type: BOOK - Published: 2021-12-28 - Publisher: Manning Publications

Field-tested tips, tricks, and design patterns for building Machine Learning projects that are deployable, maintainable, and secure from concept to production. Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You’ll adopt software development standards that deliver better code management, and make
A Greater Foundation for Machine Learning Engineering
Language: en
Pages: 510
Authors: Dr. Ganapathi Pulipaka
Categories: Computers
Type: BOOK - Published: 2021-10-01 - Publisher: Xlibris Corporation

The book provides foundations of machine learning and algorithms with a road map to deep learning, genesis of machine learning, installation of Python, supervised machine learning algorithms and implementations in Python or R, unsupervised machine learning algorithms in Python or R including natural language processing techniques and algorithms, Bayesian statistics,