Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples

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Thương hiệu ANDREW P. MCMAHON là cái tên nổi tiếng được rất nhiều khách hàng trên thế giới chọn lựa. Sản phẩm MACHINE LEARNING ENGINEERING WITH PYTHON: MANAGE THE LIFECYCLE OF MACHINE LEARNING MODELS USING MLOPS WITH PRACTICAL EXAMPLES là sự lựa chọn hoàn hảo nếu bạn đang tìm mua một món cho riêng mình.

Thông tin chi tiết

Publisher	Packt Publishing; 2nd ed. edition (August 31, 2023)
Language	English
Paperback	462 pages
ISBN-10	1837631964
ISBN-13	978-1837631964
Item Weight	1.76 pounds
Dimensions	9.25 x 7.52 x 0.93 inches
Best Sellers Rank	#468,857 in Books (See Top 100 in Books) #89 in Machine Theory (Books) #159 in Computer Systems Analysis & Design (Books) #189 in Computer Neural Networks
Customer Reviews	4.7 out of 5 stars 46Reviews

Tính năng sản phẩm

Sản phẩm Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples của thương hiệu Andrew P. McMahon với nhiều tính năng nổi bậc, là một sản phẩm được nhiều khách hàng trên thế giới lựa chọn.

From the Publisher

ML books, machine learning, programming book, python programming book

Deep dive into the fundamentals

Practical problem-solving

Apply your acquired skills and knowledge to solve real-world problems with examples and hands-on exercises. You can use your practical knowledge to solve production issues and scale them to any size based on your needs.

You’ll learn what good ML engineering processes look like. You’ll discover how to choose, train, and even automate your models. You’ll gain an understanding of what aspects of software engineering you should bring to ML, and explore all the newest libraries and tools available.

The book focuses on teaching you the fundamentals and introducing you to all the key aspects needed for a successful ML engineering career. You'll explore best practices, tips, and tricks for software development.

Explore best practices for machine learning engineering
Automate training and deployment for your ML processes
Build wrapper libraries for encapsulating your data science and ML logic and solutions

Learn > Apply > Master

Learn like a professional

Cover the basics, learn what ML engineering is, how to do it well, and how to design your own process.

Start small, but go big

Put your knowledge to the test by training, deploying, and scaling your solutions.

Test yourself

Work through real-world end-to-end scenarios to really cement your new skills.

Get to grips with the biggest libraries and packages

This latest edition of Machine Learning Engineering with Python is packed with new information and techniques. Building on the solid foundation of the first edition, more technical depth has been introduced with the example chapters revamped completely.


	Machine Learning Engineering with Python, 2nd Edition	The Machine Learning Solutions Architect Handbook - Second Edition

Customer Reviews	46	21
Price	$32.31	$29.59
Intended Audience	Developers, data scientists, and engineers looking to deepen their expertise in ML engineering.	ML solutions architects and those interested in ML project architecture and operations.
ML Lifecycle	Develop an end-to-end process, from managing ML projects to deploying production-grade ML systems.	Dissect the ML lifecycle, from architecture to operations and from business ideation to deployment.
Practical Implementation	Create reusable ML pipelines, packages, and deployment patterns using open-source tools and AWS.	Delve into ML use cases and solutions across industries using AWS services and open-source libraries.
Generative AI	Build a simple LLM pipeline using LangChain.	Navigate the generative AI project lifecycle with practical considerations for scalable deployment.
System design	Create reusable training and monitoring pipelines, showcasing various deployment architectures.	Design system architecture for ML solutions, covering workflow automation, security, and compliance.