As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they ca
Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and acces
Stephen Davies notes that if this marks the reader's first exposure to data science, they occupy an enviable position, with all the "cool stuff" still ahead of them. He expresses a sense of jealousy but also excitement to explore the field again with the reader. The text states that this field has changed the world on an incredibly short time scale. Davies observes that just decades ago,
This book does not purport to teach the reader how to be a software engineer, a skill that is cultivated over time through practice. Instead, it focuses on software engineering methods - defined as the approaches people use to achieve specific objectives in the field - which can salvage a project. The author's objective is for readers to feel better equipped for software engineering afte
Python for Kids is a lighthearted introduction to the Python language and to programming in general, complete with illustrations and kid-friendly examples. We begin with the basics of how to install Python and write simple commands. In bite-sized chapters, you'll discover the essentials of Python, including how to use Python's extensive standard library, the difference between strings an
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students.The book outlines
A lot of work is required to release an API, but the effort doesn't always pay off. Overplanning before an API matures is a wasted investment, while underplanning can lead to disaster. The second edition of this book provides maturity models for individual APIs and multi-API landscapes to help you invest the right human and company resources for the right maturity level at the right time
Cryptography is an indispensable tool used to protect information in computing systems. It is used everywhere and by billions of people worldwide on a daily basis. It is used to protect data at rest and data in motion. Cryptographic systems are an integral part of standard protocols, most notably the Transport Layer Security (TLS) protocol, making it relatively easy to incorporate strong
AI is transforming numerous industries. Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects. This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. After reading Machine Learning Yearning, you will be able to: - Prioritize the most promising directions for an AI project - Diagnose errors in
This bestselling book is now the standard guide to building phone systems with Asterisk, the open source IP PBX that has traditional telephony providers running scared! Revised for the 1.4 release of the software, the new edition of Asterisk: The Future of Telephony reveals how you can save money on equipment and support, and finally be in control of your telephone system. If you've work