Andrew p mcmahon (72 resultados)

Paperback. Condición: Very Good. 1st Edition. 350 pp., White Illus Paperback, pencil marks in margins first 60 pages, cover encased in plastic else VG, 1st ed.

Paperback. Condición: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.

paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condición: New.

Paperback. Condición: New. 2nd ed. Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This fully updated second edition will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.…

Condición: New.

Condición: New.

Paperback. Condición: New. 2nd ed. Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This fully updated second edition will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.…

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environmentsKey FeaturesExplore hyperparameter optimization and model management toolsLearn object-oriented programming and functional programming in Python to build your own ML libraries and packagesExplore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use casesBook DescriptionMachine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services.Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. You'll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, you'll work through examples to help you solve typical business problems.By the end of this book, you'll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering.What you will learnFind out what an effective ML engineering process looks likeUncover options for automating training and deployment and learn how to use themDiscover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutionsUnderstand what aspects of software engineering you can bring to machine learningGain insights into adapting software engineering for machine learning using appropriate cloud technologiesPerform hyperparameter tuning in a relatively automated wayWho this book is forThis book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If you're someone who manages or wants to understand the production life cycle of these systems, you'll find this book useful. Intermediate-level knowledge of Python is necessary.…

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 276.

Condición: New. In English.

Condición: New.

Condición: New.

Condición: New. In English.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 360.

Condición: As New. Unread book in perfect condition.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. pp. 360.

Condición: New. Considering the implications of US foreign policy, this work assesses its strength and limitations as it has been shaped by the presidency of George W Bush. Editor(s): Forsythe, David P.; MacMahon, Patrice C.; Wedeman, Andrew. Num Pages: 360 pages, 11 black & white illustrations, 13 black & white tables. BIC Classification: 1KBB; JPS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 152 x 21. Weight in Grams: 498. . 2006. 1st Edition. paperback. . . . .…

Condición: New. In English.

Paperback. Condición: New. 2nd ed. Machine learning engineering is an in-demand skill set, and it can be difficult to find a helpful guide on the topic. This fully updated second edition will help you solve business problems by addressing the pain points in creating standardized pipelines for taking proof-of-concept ML models to production and producing trustworthy results.…

Condición: New. Considering the implications of US foreign policy, this work assesses its strength and limitations as it has been shaped by the presidency of George W Bush. Editor(s): Forsythe, David P.; MacMahon, Patrice C.; Wedeman, Andrew. Num Pages: 360 pages, 11 black & white illustrations, 13 black & white tables. BIC Classification: 1KBB; JPS. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 229 x 152 x 21. Weight in Grams: 498. . 2006. 1st Edition. paperback. . . . . Books ship from the US and Ireland.…

Paperback. Condición: Brand New. 1st edition. 350 pages. 8.75x6.00x0.75 inches. In Stock.