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“…You will also become well-versed with a wide array of statistical techniques in R that are extensively used in the data science industry. …”

“…This book aims to introduce you to an array of advanced techniques in machine learning, including classifi..…”

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“…This book: Explains the basics of graph databases Demonstrates how to configure and maintain Neo4j Shows how to import data into Neo4j from a variety of sources Provides a working example of a Neo4j-based application using an array of language of options including Java, .Net, PHP, Python, Spring, and Ruby As you’ll discover, Neo4j offers a blend of simplicity and speed while allowing data relationships to maintain first-class status. …”

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“…This book will take you through the vast array of features that Kotlin provides over other languages. …”

“…Most importantly, you’ll learn the following, which you need to start writing excellent Ruby software of your own: • Installing your Ruby environment • Organizing and writing code • Ruby symbols and keywords • Basic mathematics • Variables and printing • Strings and text • Interacting with users • Working with files • Using and creating functions • Looping and logic • Arrays and elements • Hashmaps • Program design • Object-oriented programming • Inheritance and composition • Modules, classes, and objects • Project “skeleton” directories • Debugging and automated testing • Advanced user input • Text processing • Basic game development • Basic web development It’ll Be Hard At First. …”

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“…Starting with the basic theory and concepts of mathematical modeling, you'll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. …”

“…The preview of .NET and a groundbreaking approach to adding arrays to Transact-SQL make for the most thorough and engaging read published to date on SQL Server programming. …”

“…Coverage includes • An overview of Ruby, explaining terminology and basic principles • Operations on low-level data types (numbers, strings, regular expressions, dates) • The new regular expression engine (Oniguruma) • Internationalization (I18N) and message catalogs in Ruby • Operations on hashes, arrays, and other data structures such as stacks, trees, and graphs • Working with general I/O, files, and persistent objects • Database coverage including MySQL, SQLite, Oracle, DBI, and more • Ruby-specific techniques in OOP and dynamic programming • Graphical interfaces in Ruby (Tk, GTK+, Fox, and Qt) • Working with Ruby threads for lightweight multitasking • Everyday scripting and system administration in Ruby • Working with image files, PDFs, YAML, XML, RSS, and Atom • Testing, debugging, profiling, and packaging Ruby code • Low-level network programming and client-server interaction • Web development tools including Rails, Nitro, Wee, IOWA, and more • Working with distributed Ruby, Rinda, and Ring • Ruby development tools such as IDEs, documentation tools, and more The source code for the book can be downloaded from www.rubyhacker.com Hal Fulton has worked for over 15 years with variousforms of Unix, including AIX, Solaris, and Linux. …”

“…You’ll learn how to build and monitor your ETF portfolio; choose among the fast-growing array of ETFs; and profit from changing global market trends. …”

“…This book also focuses on high value and often overlooked performance-related topics such as NUMA Aware CPU Scheduler, VMM Scheduler, Core Sharing, the Virtual Memory Reclamation technique, Checksum offloading, VM DirectPath I/O, queuing on storage array, command queuing, vCenter Server design, and virtual machine and application tuning. …”

“…Within the next few years, increasing focus will be placed on this integration of techniques, and progress in this respect will likely be fueled very significantly by the development of an array of new techniques, e.g., single-cell metabolomics or X-rays produced by plasma wave accelerators, which offer great promise for the research on soils and sediments…”

“…With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. The book begins with a dedicated chapter on the language of models and the predictive modeling process. …”

“…What You Will Learn Understand the key concepts of data science Explore the data science ecosystem available in Java Work with the Java APIs and techniques used to perform efficient data analysis Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images, and create your own search Learn how to build deep neural networks with DeepLearning4j Build data science applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Data science is concerned with extracting knowledge and insights from a wide variety of data sources to analyse patterns or predict future behaviour. It draws from a wide array of disciplines including statistics, computer science, mathematics, machine learning, and data mining. …”

“…Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. …”