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Practical Data Science with R
Practical Data Science with R

Summary

Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language...

Mastering Machine Learning With scikit-learn
Mastering Machine Learning With scikit-learn

Apply effective learning algorithms to real-world problems using scikit-learn

About This Book

  • Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering
  • Acquaint yourself with popular machine learning algorithms, including...
Machine Learning in Action
Machine Learning in Action

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

Doing Data Science: Straight Talk from the Frontline
Doing Data Science: Straight Talk from the Frontline

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to...

Flexibility and Robustness in Scheduling
Flexibility and Robustness in Scheduling

Scheduling is a broad research area and scheduling problems arise from several application domains (production systems, logistic, computer science, etc.). Solving scheduling problems requires tools of combinatorial optimization, exact or approximated algorithms. Flexibility is at the frontier between predictive deterministic approaches and...

Learning Bayesian Models with R
Learning Bayesian Models with R

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

About This Book

  • Understand the principles of Bayesian Inference with less mathematical equations
  • Learn state-of-the art Machine Learning methods
  • Familiarize...
Data Science from Scratch: First Principles with Python
Data Science from Scratch: First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...

Predictive Analytics: Microsoft Excel
Predictive Analytics: Microsoft Excel

Predictive Analytics: Microsoft® Excel

Excel predictive analytics for serious data crunchers!

 

The movie Moneyball made predictive analytics famous: Now you can apply the same techniques to help your...

Beginning R: An Introduction to Statistical Programming
Beginning R: An Introduction to Statistical Programming

Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization,...

Stability and Chaos in Celestial Mechanics (Springer Praxis Books / Astronomy and Planetary Sciences)
Stability and Chaos in Celestial Mechanics (Springer Praxis Books / Astronomy and Planetary Sciences)

Alessandra Celletti’s proposed book presents classical celestial mechanics and its interplay with dynamical systems in a way that would be suitable for advance level undergraduate students as well as postgraduate students and researchers. First she uses paradigmatic models, such as the logistic map or the standard map, to introduce the...

College Algebra in Context (4th Edition)
College Algebra in Context (4th Edition)
College Algebra in Context is designed for a course in algebra that is based on data analysis, modeling, and real-life applications from the management, life, and social sciences. The...
Practical Business Analytics Using SAS: A Hands-on Guide
Practical Business Analytics Using SAS: A Hands-on Guide

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.

The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data...

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