A comprehensive guide to automated statistical data cleaningThe production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical da...

An Economist Best Book of the YearA PBS NewsHour Book of the YearAn Entrepeneur Top Business BookAn Amazon Best Book of the Year in Business and LeadershipNew York Times BestsellerForeword by Steven Pinker, author of The Better Angels of our NatureBlending the informed analysis of The Signal and the Noi...

You want to learn Data Analytics FAST but you don’t know where to start? And you don’t have any previous experience?This book is an overview for anyone interested in learning about data analytics.This book covers all aspects of Big Data Analytics in a nutshell. It will give you all the basics, the techniques for data analysis, some algorithms, and a lot more. If you just want to get a very basic idea of data science, then this book is definitely for you. It ...

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn dat...

Detect fraud earlier to mitigate loss and prevent cascading damageFraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspect...

Discover how to make your business data more interactive and engaging with SAP LumiraKey FeaturesBook DescriptionSAP Lumira allows you to combine data from multiple sources into a single view and create engaging visualizations quickly and easily. It is a reporting platform that helps users access data and independently perform analysis. With the increasing interest in data discovery, self-service BI, and visualization around the world, tools like SAP L...

A highly accessible alternative approach to basic statistics Praise for the First Edition: "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."—TechnometricsWritten in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesi...

Explore the world of data science through Python and learn how to make sense of data Key FeaturesMaster data science methods using Python and its librariesCreate data visualizations and mine for patternsAdvanced techniques for the four fundamentals of Data Science with Python - data mining, data analysis, data visualization, and machine learningBook DescriptionData science is a relatively new knowledge domain which is used by...

Your one-stop guide to becoming a Machine Learning expert.Key Features-Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning- A highly practical guide explaining the concepts of problem solving in the easiest possible manner- Implement Machine Learning in the most practical wayBook DescriptionMost of us have heard about the term Machine Learning, but surprisingly the question freq...

Collect and analyze sensor and usage data from Internet of Things applications with Microsoft Azure IoT Suite. Internet connectivity to everyday devices such as light bulbs, thermostats, and even voice-command devices such as Google Home and Amazon.com's Alexa is exploding. These connected devices and their respective applications generate large amounts of data that can be mined to enhance user-friendliness and make predictions about what a user might be likely to do next. Microsoft's Azur...

One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these documents. Developed from the authors’ highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. ...

Create data mining algorithmsAbout This BookDevelop a strong strategy to solve predictive modeling problems using the most popular data mining algorithmsReal-world case studies will take you from novice to intermediate to apply data mining techniquesDeploy cutting-edge sentiment analysis techniques to real-world social media data using RWho This Book Is ForThis Learning Path is for R developers who are lo...