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Practical Statistics for Data Scientists: 50 Essential Concepts
Practical Statistics for Data Scientists: 50 Essential Concepts

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their...

Practical R 4: Applying R to Data Manipulation, Processing and Integration
Practical R 4: Applying R to Data Manipulation, Processing and Integration

Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R...

UNDERSTANDING STATISTICS
UNDERSTANDING STATISTICS
This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in detail and...
Analyzing Data Through Probabilistic Modeling in Statistics
Analyzing Data Through Probabilistic Modeling in Statistics
"This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"--...
Probability and Statistics for Computer Scientists
Probability and Statistics for Computer Scientists

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic
...

Data Science Fundamentals for Python and MongoDB
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference star ting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian meth ods in applied...
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and...

Random Processes by Example
Random Processes by Example

This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic integrals, compound Poisson, infinitely divisible and stable...

Statistics for Engineers: An Introduction with Examples from Practice
Statistics for Engineers: An Introduction with Examples from Practice
This book describes how statistical methods can be effectively applied in the work of an engineer in terms that can be readily understood. Application of these methods enables the effort involved in experiments to be reduced, the results of these experiments to be fully evaluated, and statistically sound statements to be made as a result....
Predictive Analytics For Dummies
Predictive Analytics For Dummies

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

The Complete Idiot's Guide to Statistics, 2nd Edition
The Complete Idiot's Guide to Statistics, 2nd Edition
Statistics, statistics everywhere, but not a single word can we understand! Actually, understanding statistics is a critically important skill that we all need to have in this day and age. Every day, we are inundated with data about politics, sports, business, the stock market, health issues, financial matters, and many other topics....
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