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| Author | : Juan H. Klopper |
| Publisher | : Wolfram Media Incorporated |
| Total Pages | : |
| Release | : 2020-05-06 |
| Genre | : |
| ISBN | : 9781579550332 |
| Author | : Juan H. Klopper |
| Publisher | : Wolfram Media Incorporated |
| Total Pages | : |
| Release | : 2021 |
| Genre | : Computers |
| ISBN | : 9781579550349 |
In Introduction to Statistics with the Wolfram Language, Juan Klopper has applied the extensive computational power of the Wolfram Language to the field of statistics. Starting from the basics and working through a range of foundational concepts, this book shows just how accessible computational statistics can be given the appropriate tool set. Follow along as Klopper offers step-by-step instructions and relevant exercises from the field of medical statistics designed to teach readers how to understand and present data in today's increasingly data-driven world.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. wolfram.com/language
| Author | : Cliff Hastings |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2016 |
| Genre | : Computers |
| ISBN | : 9781579550127 |
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.
| Author | : Stephen Wolfram |
| Publisher | : Wolfram Research, Incorporated |
| Total Pages | : 0 |
| Release | : 2017 |
| Genre | : Mathematica (Computer file). |
| ISBN | : 9781944183059 |
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.
| Author | : Martha L. Abell |
| Publisher | : Academic Press |
| Total Pages | : 654 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9780120415540 |
Covers the use of Mathematica for applications ranging from descriptive statistics, through multiple regression and nonparametric methods; uses virtually all of Mathematica's built-in statistical commands, as well as those contained in various Mathematica packages; Additionally, the authors have written numerous procedures to extend Mathematica's capabilities, which are also included on the CD-ROM
| Author | : Shan-e-Fatima |
| Publisher | : Blue Rose Publishers |
| Total Pages | : 189 |
| Release | : 2023-09-25 |
| Genre | : Education |
| ISBN | : |
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.
| Author | : Colin Rose |
| Publisher | : Springer |
| Total Pages | : 508 |
| Release | : 2002 |
| Genre | : Business & Economics |
| ISBN | : 9780387952345 |
This text and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician should be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica - the applications pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, and a trial version of Mathematica 4.0.
| Author | : Bruce F. Torrence |
| Publisher | : Cambridge University Press |
| Total Pages | : 550 |
| Release | : 2019-05-16 |
| Genre | : Computers |
| ISBN | : 110831404X |
The unique feature of this compact student's introduction to Mathematica® and the Wolfram LanguageTM is that the order of the material closely follows a standard mathematics curriculum. As a result, it provides a brief introduction to those aspects of the Mathematica® software program most useful to students. Used as a supplementary text, it will help bridge the gap between Mathematica® and the mathematics in the course, and will serve as an excellent tutorial for former students. There have been significant changes to Mathematica® since the second edition, and all chapters have now been updated to account for new features in the software, including natural language queries and the vast stores of real-world data that are now integrated through the cloud. This third edition also includes many new exercises and a chapter on 3D printing that showcases the new computational geometry capabilities that will equip readers to print in 3D.
| Author | : Jenny A. Baglivo |
| Publisher | : SIAM |
| Total Pages | : 273 |
| Release | : 2005-01-01 |
| Genre | : Mathematics |
| ISBN | : 0898718414 |
Integrating computers into mathematical statistics courses allows students to simulate experiments and visualize their results, handle larger data sets, analyze data more quickly, and compare the results of classical methods of data analysis with those using alternative techniques. This text presents a concise introduction to the concepts of probability theory and mathematical statistics. The accompanying in-class and take-home computer laboratory activities reinforce the techniques introduced in the text and are accessible to students with little or no experience with Mathematica. These laboratory materials present applications in a variety of real-world settings, with data from epidemiology, environmental sciences, medicine, social sciences, physical sciences, manufacturing, engineering, marketing, and sports. Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods includes parametric, nonparametric, permutation, bootstrap and diagnostic methods. Chapters on permutation and bootstrap techniques follow the formal inference chapters and precede the chapters on intermediate-level topics. Permutation and bootstrap methods are discussed side by side with classical methods in the later chapters.
| Author | : Anthony Vazzana |
| Publisher | : CRC Press |
| Total Pages | : 530 |
| Release | : 2007-10-30 |
| Genre | : Computers |
| ISBN | : 1584889381 |
One of the oldest branches of mathematics, number theory is a vast field devoted to studying the properties of whole numbers. Offering a flexible format for a one- or two-semester course, Introduction to Number Theory uses worked examples, numerous exercises, and two popular software packages to describe a diverse array of number theory topi
