Book Watch Archive
Book Watch Archive
Java Machine Learning (Packt Publishing)
Thursday, 10 August 2017

This book introduces an array of advanced techniques in machine learning. Authors Dr. Uday Kamath and Krishna Choppella cover topics including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.

<ASIN:1785880519>

 
SQL Server 2016 High Availability Unleashed (Sams)
Tuesday, 08 August 2017

In this guide to delivering highly available SQL Server databases and applications, author Paul Bertucci presents in-depth coverage of SQL Server's full continuum of availability options, from the most extreme forms of fault tolerance down to "medium availability" options for less critical databases. He walks through traditional on-premises deployments; cloud deployments through Microsoft Azure and Amazon Web Services, hybrid deployments encompassing both on-premise and cloud components; and Big Data applications. 

<ASIN:0672337762>

 
Rails, Angular, Postgres and Bootstrap 2nd Ed (Pragmatic Bookshelf)
Thursday, 03 August 2017

The thinking behind this book is that Rails is a great tool for building web applications, but it's not the best at everything. Author David Bryant Copeland shows how to use the full stack of web development alongside Rails, from styling with Bootstrap, building an interactive user interface with Angular 4, to storing data quickly and reliably in PostgreSQL.

<ASIN:1680502204>

 
C# 7 and .NET Core: Modern Cross-Platform Development 2nd Ed (Packt)
Wednesday, 02 August 2017

In this book, author Mark J Price shows how to build modern, cross-platform applications with .NET Core. The book covers the latest features of C# 7, and shows how to start creating professional web applications with ASP.NET Core. It targeted at readers who have some prior programming experience and want to gain a solid foundation with C#.

<ASIN:1787129551>

 
Agile Data Science 2.0 (O'Reilly)
Monday, 31 July 2017

With a subtitle of Building Full-Stack Data Analytics Applications with Spark,  the revised second edition of this hands-on guide, shows how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow.

<ASIN:1491960116>

 
Reactive Design Patterns (Manning)
Thursday, 27 July 2017

This is a guide for building message-driven distributed systems that are resilient, responsive, and elastic.The authors, Dr. Roland Kuhn, Brian Hanafee and Jamie Allen, include patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka.

<ASIN:1617291803>

 
Data Structures and Algorithms in C++: Pocket Primer (Mercury)
Wednesday, 26 July 2017

This book takes a minimalist approach to the traditional data structures course. It covers only those topics that are absolutely essential; the more esoteric structures and algorithms are left for later study. Author Lee Wittenberg has written the book from the ground up in C++, and uses features of the C++ Standard Template Library to illustrate important concepts.

<ASIN:1683920848>

 
Defensive Security Handbook (O'Reilly)
Monday, 24 July 2017

This book is aimed at organizations that don’t have the budget to establish or outsource an information security (InfoSec) program. In this pragmatic guide, authors Lee Brotherston and Amanda Berlin provide a security-101 handbook with steps, tools, processes, and ideas to help drive maximum-security improvement without spending a fortune.

<ASIN:1491960388>

 
R For Everyone (Addison Wesley)
Thursday, 20 July 2017

R has traditionally been seen as difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. This book avoids that error, aiming the material at users new to statistical programming and modeling. Author and professional data scientist Jared P. Lander focuses on the 20 percent of R functionality needed to accomplish 80 percent of modern data tasks.

<ASIN:013454692X>

 
Cloud Computing: An Introduction (Mercury)
Wednesday, 19 July 2017

This overview of cloud computing by R Chopra is written in a "self-teaching" format with tips and insights about cloud computing, its architecture, applications, information on security and privacy, and numerous case studies.The book also includes questions for discussion and "Cloud Computing Lab Experiments".

<ASIN:1683920929>

 
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