There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis tractable and accessible to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS, is for first year graduate students or advanced undergraduates and provides...

Discover relevant questions―and detailed answers―to help you prepare for job interviews and break into the field of analytics. This book contains more than 200 questions based on consultations with hiring managers and technical professionals already working in analytics. Interview Questions in Business Analytics: How to Ace...

• Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
• Learn effective strategies and best practices to...

Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2^nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples,...

• Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer
• Improve your organization's performance to ensure smooth production of software and services
• Deploy top-quality software and...

Frequently the tool of choice for academics, R...

• Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
• Learn about perceptrons and see how they are used to build neural...

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• Explore the social media APIs in R to capture data and tame it
• Employ the machine learning capabilities of R to gain optimal business value
• A hands-on guide with...

Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with...