A New Kind of Science
A New Kind of Science

Author: Stephen Wolfram

Publisher:

Published: 2002

Total Pages: 1197

ISBN-13: 9780713991161

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This work presents a series of dramatic discoveries never before made public. Starting from a collection of simple computer experiments---illustrated in the book by striking computer graphics---Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe. Wolfram uses his approach to tackle a remarkable array of fundamental problems in science: from the origin of the Second Law of thermodynamics, to the development of complexity in biology, the computational limitations of mathematics, the possibility of a truly fundamental theory of physics, and the interplay between free will and determinism.

An Elementary Introduction to the Wolfram Language
An Elementary Introduction to the Wolfram Language

Author: Stephen Wolfram

Publisher: Wolfram Research, Incorporated

Published: 2017

Total Pages: 0

ISBN-13: 9781944183059

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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.

Hands-on Start to Wolfram Mathematica
Hands-on Start to Wolfram Mathematica

Author: Cliff Hastings

Publisher:

Published: 2016

Total Pages: 0

ISBN-13: 9781579550127

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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.

Introduction to Machine Learning
Introduction to Machine Learning

Author: Shan-e-Fatima

Publisher: Blue Rose Publishers

Published: 2023-09-25

Total Pages: 189

ISBN-13:

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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.

Programming with Mathematica®
Programming with Mathematica®

Author: Paul Wellin

Publisher: Cambridge University Press

Published: 2013-01-10

Total Pages: 731

ISBN-13: 1107009464

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This practical, example-driven introduction teaches the foundations of the Mathematica language so it can be applied to solving concrete problems.

Talkin' Tar Heel
Talkin' Tar Heel

Author: Walt Wolfram

Publisher: UNC Press Books

Published: 2014-04-07

Total Pages: 348

ISBN-13: 1469614375

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Are you considered a "dingbatter," or outsider, when you visit the Outer Banks? Have you ever noticed a picture in your house hanging a little "sigogglin," or crooked? Do you enjoy spending time with your "buddyrow," or close friend? Drawing on over two decades of research and 3,000 recorded interviews from every corner of the state, Walt Wolfram and Jeffrey Reaser's lively book introduces readers to the unique regional, social, and ethnic dialects of North Carolina, as well as its major languages, including American Indian languages and Spanish. Considering how we speak as a reflection of our past and present, Wolfram and Reaser show how languages and dialects are a fascinating way to understand our state's rich and diverse cultural heritage. The book is enhanced by maps and illustrations and augmented by more than 100 audio and video recordings, which can be found online at talkintarheel.com.

Combinators
Combinators

Author: Stephen Wolfram

Publisher: Wolfram Media

Published: 2021

Total Pages: 0

ISBN-13: 9781579550431

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"Combinators have inspired ideas about computation ever since they were first invented in 1920, and in this innovative book, Stephen Wolfram provides a modern view of combinators and their significance. Informed by his work on the computational universe of possible programs and on computational language design, Wolfram explains new and existing ideas about combinators with unique clarity and stunning visualizations, as well as provides insights on their historical connections and the curious story of Moses Schèonfinkel, inventor of combinators. Though invented well before Turing machines, combinators have often been viewed as an inaccessibly abstract approach to computation. This book brings them to life as never before in a thought-provoking and broadly accessible exposition of interest across mathematics and computer science, as well as to those concerned with the foundations of formal and computational thinking, and with the history of ideas"--

A Companion to Wolfram's Parzival
A Companion to Wolfram's Parzival

Author: Will Hasty

Publisher: Boydell & Brewer

Published: 1999

Total Pages: 332

ISBN-13: 9781571131522

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Wolfram von Eschenbach's Parzival expands and transforms the Arthurian tradition into a grand depiction of the medieval cosmos around 1200. Standing between clerical and chivalric cultures and articulating the interests and values of both, Wolfram produced the most popular vernacular work in medieval Germany and one of the most vibrant of the High Middle Ages. The brilliance, boldness, and astonishing originality of Parzival, along with the allure of its elusive author and his enigmatic grail, have continued to fascinate modern audiences since the nineteenth century. And in the late 20th century, as the study of literature becomes increasingly interdisciplinary, Wolfram's masterpiece continues to hold forth a seemingly inexhaustible supply of cultural knowledge and insights. The original essays in this volume provide a definitive treatment in English of significant aspects of Parzival (Wolfram's modes of narrative presentation, his relationship to his sources, his portrayal of the grail), and of some of the broader social and cultural issues it raises (the theology of the Fall, the status of chivalric self-assertion, the characterization of women, the modern reception of Parzival). These and other essays point in new directions for the future study of Parzival, and demonstrate that the poem deservedly occupies a central position in our understanding of the High Middle Ages.

Beginning Mathematica and Wolfram for Data Science
Beginning Mathematica and Wolfram for Data Science

Author: Jalil Villalobos Alva

Publisher: Apress

Published: 2021-03-28

Total Pages:

ISBN-13: 9781484265932

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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.