FREE EBOOK - Introduction to Scientific Programming with Python 
by Joakim Sundnes
This open book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical ...
Price: $37.99 | Publisher: Springer | Release: 2020
Practical Data Science with R, 2nd Edition
by Nina Zumel, John Mount
Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You'll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.Evidence-based decisions are cruci...
Price: $39.99 | Publisher: Manning | Release: 2019
FREE EBOOK - Introduction to Data Science
by Rafael A Irizarry
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression and machine learning. It also helps you develop skills such as R programming, data wrangling with dplyr, data visualizati...
Publisher: Leanpub | Release: 2019
by Robert Johansson
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computin...
Price: $40.24 | Publisher: Apress | Release: 2019
by Matthew Campbell
Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations with ggplot; and create custom R packages and web-based interactive visualizations with Shiny. In addition, you will cover common ...
Price: $16.27 | Publisher: Apress | Release: 2019
Data Science from Scratch, 2nd Edition 
by Joel Grus
To really learn data science, you should not only master the tools - data science libraries, frameworks, modules, and toolkits - but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skill...
Price: $22.31 | Publisher: O'Reilly Media | Release: 2019
Data Science with Python and Dask
by Jesse C. Daniel
Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work!An efficient data pipeline means eve...
Price: $39.99 | Publisher: Manning | Release: 2019
FREE EBOOK - Regression Models for Data Science in R
by Brian Caffo
The ideal reader for this book will be quantitatively literate and has a basic understanding of statistical concepts and R programming. The book gives a rigorous treatment of the elementary concepts of regression models from a practical perspective. After reading the book and watching the associated videos, students will be able to perform multivariable regression models and understand their interpretations...
Publisher: Leanpub | Release: 2019
Learn R for Applied Statistics
by Goh Hui
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R's syntax, you will work through data visualizations such as histograms and boxplot charting...
Price: $29.23 | Publisher: Apress | Release: 2019
by Tommaso Teofili
Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time you're finished with the book, you'll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on!Deep learning handles the toughest search challenges, including imprecise search terms, badly inde...
Price: $39.99 | Publisher: Manning | Release: 2019