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Can I read Mathematica data analysis : learn and explore the fundamentals of data analysis with the power of Mathematica on EtoBox?
Mathematica data analysis : learn and explore the fundamentals of data analysis with the power of Mathematica by Sergiy Suchok is a nonfiction available to read on EtoBox.
What is Mathematica data analysis : learn and explore the fundamentals of data analysis with the power of Mathematica about?
Key Features* Use the power of Mathematica to analyze data in your applications * Discover the capabilities of data classification and pattern recognition offered by Mathematica * Use hundreds of algorithms for time series analysis to predict the future Book DescriptionThere are many algorithms for data analysis and it's not always possible to quickly choose the best one for each case. Implementation of the algorithms takes a lot of time. With the help of Mathematica, you can quickly get a result from the use of a particular method, because this system contains almost all the known algorithms for data analysis. If you are not a programmer but you need to analyze data, this book will show you the capabilities of Mathematica when just few strings of intelligible code help to solve huge tasks from statistical issues to pattern recognition. If you're a programmer, with the help of this book, you will learn how to use the library of algorithms implemented in Mathematica in your programs, as well as how to write algorithm testing procedure. With each chapter, you'll be more immersed in the special world of Mathematica. Along with intuitive queries for data processing, we will highlight t
Who reads Mathematica data analysis : learn and explore the fundamentals of data analysis with the power of Mathematica?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sergiy Suchok
- Publisher
- Packt Publishing, Limited
- Published
- 2015
- Language
- EN
- ISBN
- 9781785884931
- Category
- nonfiction
- Subjects
- Computer Science, Science, Mathematics
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