In the tradition of Indiana Jones and The Goonies, the next installment of this comedic adventure series sends young Addison and his friends on the run from fortune hunters linked to an ancient Cooke
Martin Fowler’s Refactoring defined core ideas and techniques that hundreds of thousands of developers have used to improve their software. Now, Fowler has thoroughly updated his book to reflect
Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Googl
This unique guide brings together all the skills you need to get started with data science -- one of the world’s fastest growing fields! Leading data science instructors Michael Freeman and Joel
Business analysts, managers, researchers, and students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learni
The World Health Statistics series is the annual snapshot of the state of the world's health. This 2018 edition contains the latest available data for 36 health-related Sustainable Development Goal (S
When Ruby on Rails was introduced, web developers flocked to it, quickly building applications that have become utterly indispensable to their organizations. But those early Rails applications have of
This is the first end-to-end, full-color guide to telling powerful, actionable data stories using Tableau, the world’s #1 visualization software. Renowned expert Lindy Ryan shows you how to comm
Spark for Data Professionals introduces and solidifies the concepts behind Spark 2.x, teaching working developers, architects, and data professionals exactly how to build practical Spark solutions. Je
Essential C# 7.0 is a well-organized, no-fluff guide to the latest versions of C# for programmers at all levels of experience. Updated to reflect new C# 7.0 features and patterns, it will help you wr
Over the past decade, Jorgen Hesselberg has had an interesting view into some noteworthy agile adoptions (Spotify, Yahoo, Walmart, and many more). Not all of the adoptions were smooth, or ev
This tutorial teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant ex
For nearly ten years, the Unified Modeling Language (UML) has been the industry standard for visualizing, specifying, constructing, and documenting the artifacts of a software-intensive system. As the
The World Health Statistics series is WHO's annual compilation of health statistics for its 194 Member States. The series is produced by the WHO Department of Information, Evidence and Research, and o
The Rails™ 5 Way is the only comprehensive, authoritative guide to delivering production-quality code with Rails 5. Kevin Faustino joins pioneering Rails developer Obie Fernandez to illuminate the ent
This is the your complete guide to becoming an exceptionally effective ScrumMaster. Easy to digest and highly visual, you can read it in a weekend… and use it for a decade. Drawing on over a decad
Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and mo
Stop searching the web for out-of-date, fragmentary, and unreliable information about running Hadoop! Now, there's a single source for all the authoritative knowledge and trustworthy procedures you ne
This book presents a series of high performance product design (PD) and development best practices that can create or improve product development organization. In contrast to other books that focus on
To build high-quality software, you need to write testable code. That's harder than it seems: it requires insights drawn from arenas ranging from software craftsmanship to unit testing, refactoring to
Thousands of Agile and Scrum coaches and practitioners now recognize that the best way to maximize the value of these approaches is to extend them to the entire enterprise. It's not just about making
As adoption of Hadoop accelerates in the enterprise and beyond, there's soaring demand for those who can solve real world problems by applying advanced data science techniques in Hadoop environments.
