Beginning Mathematica And Wolfram For Data Science
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Beginning Mathematica And Wolfram For Data Science
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Author : Jalil Villalobos Alva
language : en
Publisher: Apress
Release Date : 2024-07-13
Beginning Mathematica And Wolfram For Data Science written by Jalil Villalobos Alva and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Computers categories.
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. This second edition introduces the latest LLM Wolfram capabilities, delves into the exploration of data types in Mathematica, covers key programming concepts, and includes code performance and debugging techniques for code optimization. You’ll gain a deeper understanding of data science from a theoretical and practical perspective using Mathematica and the Wolfram Language. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. Existing topics have been reorganized for better context and to accommodate the introduction of Notebook styles. The book also incorporates new functionalities in code versions 13 and 14 for imported and exported data. You’ll see how to use Mathematica, where data management and mathematical computations are needed. Along the way, you’ll appreciate how Mathematica provides an entirely integrated platform: its symbolic and numerical calculation result in a mized syntax, allowing it to carry out various processes without superfluous lines of code. You’ll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out. What You Will Learn Create datasets, work with data frames, and create tables Import, export, analyze, and visualize data Work with the Wolfram data repository Build reports on the analysis Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering Who This Book Is For Data scientists who are new to using Wolfram and Mathematica as a programming language or tool. Programmers should have some prior programming experience, but can be new to the Wolfram language.
Beginning Mathematica And Wolfram For Data Science
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Author : Jalil Villalobos Alva
language : en
Publisher: Apress
Release Date : 2021-03-28
Beginning Mathematica And Wolfram For Data Science written by Jalil Villalobos Alva and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-28 with Computers categories.
Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book introduces you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and disadvantages. You’ll see how to use the Wolfram language for data science from a theoretical and practical perspective. Learning this language makes your data science code better because it is very intuitive and comes with pre-existing functions that can provide a welcoming experience for those who use other programming languages. You’ll cover how to use Mathematica where data management and mathematical computations are needed. Along the way you’ll appreciate how Mathematica provides a complete integrated platform: it has a mixed syntax as a result of its symbolic and numerical calculations allowing it to carry out various processes without superfluous lines of code. You’ll learn to use its notebooks as a standard format, which also serves to create detailed reports of the processes carried out. What You Will Learn Use Mathematica to explore data and describe the concepts using Wolfram language commands Create datasets, work with data frames, and create tables Import, export, analyze, and visualize data Work with the Wolfram data repository Build reports on the analysis Use Mathematica for machine learning, with different algorithms, including linear, multiple, and logistic regression; decision trees; and data clustering The fundamentals of the Wolfram Neural Network Framework and how to build your neural network for different tasks How to use pre-trained models from the Wolfram Neural Net Repository Who This Book Is For Data scientists new to using Wolfram and Mathematica as a language/tool to program in. Programmers should have some prior programming experience, but can be new to the Wolfram language.
Hands On Start To Wolfram Mathematica
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Author : Cliff Hastings
language : en
Publisher:
Release Date : 2016
Hands On Start To Wolfram Mathematica written by Cliff Hastings and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computers categories.
For more than 25 years, Mathematica has been the principal computation environment for millions of innovators, educators, students, and others around the world. This book is an introduction to Mathematica. The goal is to provide a hands-on experience introducing the breadth of Mathematica with a focus on ease of use. Readers get detailed instruction with examples for interactive learning and end-of-chapter exercises. Each chapter also contains authors' tips from their combined 50+ years of Mathematica use.
Mathematica Data Analysis
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Author : Sergiy Suchok
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-12-24
Mathematica Data Analysis written by Sergiy Suchok and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-24 with Computers categories.
Learn and explore the fundamentals of data analysis with power of Mathematica About This Book 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 Who This Book Is For The book is for those who want to learn to use the power of Mathematica to analyze and process data. Perhaps you are already familiar with data analysis but have never used Mathematica, or you know Mathematica but you are new to data analysis. With the help of this book, you will be able to quickly catch up on the key points for a successful start. What You Will Learn Import data from different sources to Mathematica Link external libraries with programs written in Mathematica Classify data and partition them into clusters Recognize faces, objects, text, and barcodes Use Mathematica functions for time series analysis Use algorithms for statistical data processing Predict the result based on the observations In Detail There 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 the nuances and features of this system, allowing you to build effective analysis systems. With the help of this book, you will learn how to optimize the computations by combining your libraries with the Mathematica kernel. Style and approach This book takes a step-by-step approach, accompanied by examples, so you get a better understanding of the logic of writing algorithms for data analysis in Mathematica. We provide a detailed explanation of all the nuances of the Mathematica language, no matter what your level of experience is.
Introduction To Machine Learning
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Author : Shan-e-Fatima
language : en
Publisher: Blue Rose Publishers
Release Date : 2023-09-25
Introduction To Machine Learning written by Shan-e-Fatima and has been published by Blue Rose Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Education categories.
With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programmers may predict outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use historical data as input. Machine learning is frequently used in recommendation engines. Business process automation (BPA), predictive maintenance, spam filtering, malware threat detection, and fraud detection are a few additional common uses. Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behavior and operational business patterns. For many businesses, machine learning has emerged as a key competitive differentiation. The fundamental methods of machine learning are covered in the current book.
An Elementary Introduction To The Wolfram Language
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Author : Stephen Wolfram
language : en
Publisher: Wolfram Research, Incorporated
Release Date : 2017
An Elementary Introduction To The Wolfram Language written by Stephen Wolfram and has been published by Wolfram Research, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Mathematica (Computer file). categories.
The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of building in vast knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. This book provides an elementary introduction to the Wolfram Language and modern computational thinking. It assumes no prior knowledge of programming, and is suitable for both technical and non-technical college and high-school students, as well as anyone with an interest in the latest technology and its practical application.
Mathematica Data Analysis
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Author : Sergiy Suchok
language : en
Publisher:
Release Date : 2015-12-18
Mathematica Data Analysis written by Sergiy Suchok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-18 with categories.
Wolfram Language Tutorial
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Author : Rashmi Shankar
language : en
Publisher: Benjamin Bautista
Release Date : 2024-05-30
Wolfram Language Tutorial written by Rashmi Shankar and has been published by Benjamin Bautista this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
Unlock the power of computational thinking with "Wolfram Language Tutorial: Step by Step Beginner’s Guidebook." This comprehensive guide is your gateway to mastering the Wolfram Language, one of the most powerful and versatile programming languages used by scientists, engineers, and innovators worldwide. Whether you're a complete beginner or have some programming experience, this book is designed to take you from novice to proficient, providing you with the skills and knowledge to harness the full potential of the Wolfram Language. Through clear explanations, practical examples, and hands-on exercises, you'll quickly learn to navigate and utilize this sophisticated tool for a variety of applications. Inside "Wolfram Language Tutorial," you'll discover: Fundamentals of Wolfram Language: Gain a solid foundation with step-by-step instructions on the basic concepts and syntax. Practical Applications: Explore real-world examples and projects that demonstrate how to apply the Wolfram Language to solve complex problems in science, engineering, data analysis, and more. Interactive Learning: Engage with interactive exercises and coding challenges that reinforce your understanding and help you build confidence in your skills. Advanced Features: Delve into more advanced topics, including machine learning, image processing, and computational geometry, to expand your capabilities. Comprehensive Resources: Access a wealth of additional resources, including online tutorials, documentation, and community forums to continue your learning journey. Written by an expert in the field, this guidebook offers a friendly and accessible approach to learning, ensuring that you can follow along at your own pace and achieve mastery in no time. Whether you aim to enhance your career, pursue academic research, or simply explore the possibilities of computational thinking, "Wolfram Language Tutorial" is your ultimate companion. Invest in your future and open the door to endless possibilities with "Wolfram Language Tutorial: Step by Step Beginner’s Guidebook." Empower yourself with the skills to innovate, analyze, and solve problems like never before. Don't miss out on this essential resource – start your journey today and discover the transformative power of the Wolfram Language.
Programming With Mathematica
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Author : Paul Wellin
language : en
Publisher: Cambridge University Press
Release Date : 2013-01-10
Programming With Mathematica written by Paul Wellin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-10 with Computers categories.
This practical, example-driven introduction teaches the foundations of the Mathematica language so it can be applied to solving concrete problems.
The Beginner S Guide To Mathematica Version 4
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Author : Jerry Glynn
language : en
Publisher: Cambridge University Press
Release Date : 2000-01-13
The Beginner S Guide To Mathematica Version 4 written by Jerry Glynn and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01-13 with Computers categories.
This hugely successful textbook covers all the new features of Mathematica Version 4.