Designing Interfaces: Patterns for Effective Interaction Design 3rd Ed 2020 PB

“Designing Interfaces: Patterns for Effective Interaction Design 3rd Ed 2020 PB” is a textbook authored by Jenifer Tidwell, Charles Brewer, and Aynne Valencia. It focuses on the subject areas of Computers, Mathematics, and Software Development & Engineering, with a specific emphasis on User Interfaces. The book is written in English and published by O’Reilly Media, Incorporated in the United States. With a total of 599 pages, this textbook provides a comprehensive look at patterns for effective interaction design, making it a valuable resource for students and professionals in the field of human-computer interaction.

Practical Statistics for Data Scientists : 50+ Essential Concepts Free Ship

“Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and…” is an advanced textbook published by O’Reilly Media in 2020. Written by Peter Bruce, Peter Gedeck, and Andrew Bruce, this book covers essential concepts in statistics for data scientists, focusing on computer science, data processing, and mathematical analysis. With 360 pages of content in English, this trade paperback is designed for adult and further education levels, making it a valuable resource for those looking to deepen their understanding of practical statistics in the field of data science.

Introduction to Machine Learning with Python : A Guide for Data Scientists by…

“Introduction to Machine Learning with Python: A Guide for Data Scientists” by Sarah Guido and Andreas C. Müller is a comprehensive textbook published by O’Reilly Media in 2016. This trade paperback book covers programming, algorithms, natural language processing, and programming languages, specifically focusing on Python. With 398 pages, this book provides a detailed introduction to machine learning techniques for data scientists looking to enhance their skills in this specific area. The authors offer valuable insights and practical guidance for readers looking to deepen their understanding of machine learning with Python.

Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book

“Designing Machine Learning Systems” by Chip Huyen is a new trade paperback textbook published in 2022 by O’Reilly. This book is focused on the subject area of computers, specifically addressing topics in machine theory, enterprise applications, and AI & semantics. Written in English, this textbook offers insights and practical guidance on designing machine learning systems for various applications. With the expertise of the author, Chip Huyen, this publication is a valuable resource for those interested in deepening their understanding of machine learning and its practical implications in business intelligence tools.

Principles of Criminal Law, Paperback by Roberson, Cliff; O’reilley9780135186282

“Principles of Criminal Law” is a textbook written by authors Michael O’Reilly and Cliff Roberson, published by Pearson Education in 2019. This revised edition offers 336 pages of English language content focusing on the subject areas of jurisprudence and criminal law. The trade paperback format and intermediate educational level make it suitable for adult and further education students studying criminal law principles. With its compact size and weight of 3.5 ounces, this textbook is a valuable resource for those interested in delving into the intricacies of criminal law.

Python for Data Analysis Data Wrangling with Pandas NumPy and Jupyter FS

“Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter” by Wes McKinney is a comprehensive textbook published by O’Reilly Media. This book covers essential topics in data analysis, including data visualization, processing, and mining, all using the popular programming language Python. With a strong focus on practical applications, this text is designed for students and professionals looking to deepen their understanding of data analysis techniques. The book’s 579 pages provide detailed insights and guidance on working with data using various tools and techniques in the Python ecosystem.

Building Microservices – 9781492034025

“Building Microservices: Designing Fine-Grained Systems” by Sam Newman is a comprehensive textbook focused on the design and implementation of microservices. Published by O’Reilly Media, this 2021 publication covers a wide range of subjects including programming, engineering, web programming, and enterprise applications. With 612 pages and insights on how to create cohesive and efficient systems, this trade paperback is a valuable resource for those looking to deepen their understanding of microservices in the tech industry.

R for Data Science 2nd Edition Wickham, Cetinkaya-Rundel, & Grolemund Like New

The product is the second edition of “R for Data Science” by Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund. Published by O’Reilly Media, this textbook focuses on data modeling, design, visualization, processing, and mining. With a publication year of 2023, this trade paperback book offers 576 pages of content in English. It aims to guide readers through the process of importing, tidying, transforming, visualizing, and modeling data using R programming language. The book is a comprehensive resource for individuals looking to enhance their skills in data science and analysis.

Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK

“Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems” by Martin Kleppmann is a comprehensive textbook published by O’Reilly Media in 2017. The book covers topics in data modeling and design, focusing on how to build reliable and scalable desktop applications with databases. With 614 pages, this trade paperback is a valuable resource for anyone looking to learn about designing data-intensive applications in a practical and informative manner.

Designing Machine Learning Systems By Chip Huyen (English, Paperback) New Book

“Designing Machine Learning Systems” by Chip Huyen is a new textbook published in 2022 by O’Reilly. Written in English and available in trade paperback format, this book is perfect for those interested in the subject areas of machine theory, enterprise applications, and artificial intelligence. Huyen’s expertise in the field of machine learning makes this book a valuable resource for students and professionals looking to enhance their understanding of these complex topics.