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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

by Cameron Davidson-Pilon

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis


Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions...

Optimizing the Display and Interpretation of Data

by Robert Warner

"What information do these data reveal?" "Is the information correct?" "How can I make the best use of the information?" The widespread use of computers and our reliance on the data generated by them have made...

Topics in Parallel and Distributed Computing: Introducing Concurrency in Undergraduate Courses

by Sushil K Prasad, Anshul Gupta & Arnold L Rosenberg

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline.

The pervasiveness of computing devices containing...

Oracle PL/SQL Language Pocket Reference

by Steven Feuerstein, Bill Pribyl & Chip Dawes

Be more productive with the Oracle PL/SQL language. The fifth edition of this popular pocket reference puts the syntax of specific PL/SQL language elements right at your fingertips, including features added...

Sams Teach Yourself Oracle PL/SQL in 10 Minutes

by Ben Forta

Covers Oracle DBMS versions 10, 11, 12, and XE


Sams Teach Yourself Oracle PL/SQL in 10 Minutes offers straightforward, practical answers when you need fast results. By working through the book’s 26 lessons...

Agent-Based Spatial Simulation with NetLogo Volume 1

by Arnaud Banos, Christophe Lang & Nicolas Marilleau

Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools...

The Best Thinking in Business Analytics from the Decision Sciences Institute

by Decision Sciences Institute & Merrill Warkentin

Today, business success depends on making great decisions – and making them fast. Leading organizations apply sophisticated business analytics tools and technologies to evaluate vast amounts of data, glean...

Big Data Forensics - Learning Hadoop Investigations

by Sremack Joe

Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques About This Book • Identify, collect, and analyze Hadoop evidence forensically • Learn about Hadoop's internals and...

Advances in Business, Operations, and Product Analytics: Cutting Edge Cases from Finance to Manufacturing to Healthcare

by Matthew J. Drake

If you're seeking to master business analytics, case studies offer invaluable help: they expose you to the entire decision-making process, helping you practice an active role in both performing analysis and...

Clojure Data Structures and Algorithms Cookbook

by Naccache Rafik

25 recipes to deeply understand and implement advanced algorithms in Clojure About This Book • Explore various advanced algorithms and learn how they are used to address many real-world computing challenges...

MongoDB for Java Developers

by Marchioni Francesco

Design, build, and deliver efficient Java applications using the most advanced NoSQL database About This Book • Reuse the skills you have acquired through Hibernate or Spring to promote your applications to...

Data as a Service: A Framework for Providing Reusable Enterprise Data Services

by Pushpak Sarkar

Data as a Service shows how organizations can leverage "data as a service" by providing real-life case studies on the various and innovative architectures and related patterns 

  • Comprehensive approach to introducing...

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

by Bart Baesens, Veronique Van Vlasselaer & Wouter Verbeke

Detect fraud earlier to mitigate loss and prevent cascading damage

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud...

Learning Data Mining with Python

by Layton Robert

If you are a programmer who wants to get started with data mining, then this book is for you.

Implementing Splunk - Second Edition

by Bumgarner Vincent & Miller James D.

If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk,...

Spark Cookbook

by Yadav Rishi

If you are a data engineer, an application developer, or a data scientist who would like to leverage the power of Apache Spark to get better insights from big data, then this is the book for you.

Neo4j Graph Data Modeling

by Lal Mahesh

If you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling...

Virtualizing Hadoop: How to Install, Deploy, and Optimize Hadoop in a Virtualized Architecture

by George Trujillo, Charles Kim & Steve Jones

Plan and Implement Hadoop Virtualization for Maximum Performance, Scalability, and Business Agility


Enterprises running Hadoop must absorb rapid changes in big data ecosystems, frameworks, products, and workloads....

Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

by Mahmoud Parsian

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications...

Statistics for Big Data For Dummies

by Alan Anderson & David Semmelroth

The fast and easy way to make sense of statistics for big data

Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming...