MATLAB For Dummies


Author: Jim Sizemore,John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 111882010X

Category: Technology & Engineering

Page: 432

View: 886

Plot graphs, solve equations, and write code in a flash! If you work in a STEM field, chances are you'll be using MATLAB on a daily basis. MATLAB is a popular and powerful computational tool and this book provides everything you need to start manipulating and plotting your data. MATLAB has rapidly become the premier data tool, and MATLAB For Dummies is a comprehensive guide to the fundamentals. MATLAB For Dummies guides you through this complex computational language from installation to visualization to automation. Learn MATLAB's language fundamentals including syntax, operators, and data types Understand how to use the most important window in MATLAB – the Command Window Get the basics of linear algebra to get up and running with vectors, matrices, and hyperspace Automate your work with programming scripts and functions Plot graphs in 2D and 3D to visualize your data Includes a handy guide for MATLAB's functions and plotting routines MATLAB is an essential part of the analysis arsenal and MATLAB For Dummies provides clear, thorough guidance to get the most out of your data.

Algorithms For Dummies


Author: John Paul Mueller,Luca Massaron

Publisher: John Wiley & Sons

ISBN: 111933053X

Category: Computers

Page: 432

View: 8119

Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.

Python for Data Science For Dummies


Author: John Paul Mueller,Luca Massaron

Publisher: John Wiley & Sons

ISBN: 1119547660

Category: Computers

Page: 496

View: 1806

The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

NoSQL For Dummies


Author: Adam Fowler

Publisher: John Wiley & Sons

ISBN: 1118905628

Category: Computers

Page: 456

View: 4825

Get up to speed on the nuances of NoSQL databases and what theymean for your organization This easy to read guide to NoSQL databases provides the type ofno-nonsense overview and analysis that you need to learn, includingwhat NoSQL is and which database is right for you. Featuringspecific evaluation criteria for NoSQL databases, along with a lookinto the pros and cons of the most popular options, NoSQL ForDummies provides the fastest and easiest way to dive into thedetails of this incredible technology. You'll gain an understandingof how to use NoSQL databases for mission-critical enterprisearchitectures and projects, and real-world examples reinforce theprimary points to create an action-oriented resource for ITpros. If you're planning a big data project or platform, you probablyalready know you need to select a NoSQL database to complete yourarchitecture. But with options flooding the market and updates andadd-ons coming at a rapid pace, determining what you require now,and in the future, can be a tall task. This is where NoSQL ForDummies comes in! Learn the basic tenets of NoSQL databases and why they havecome to the forefront as data has outpaced the capabilities ofrelational databases Discover major players among NoSQL databases, includingCassandra, MongoDB, MarkLogic, Neo4J, and others Get an in-depth look at the benefits and disadvantages of thewide variety of NoSQL database options Explore the needs of your organization as they relate to thecapabilities of specific NoSQL databases Big data and Hadoop get all the attention, but when it comesdown to it, NoSQL databases are the engines that power many bigdata analytics initiatives. With NoSQL For Dummies, you'llgo beyond relational databases to ramp up your enterprise's dataarchitecture in no time.

Predictive Analytics For Dummies


Author: Dr. Anasse Bari,Mohamed Chaouchi,Tommy Jung

Publisher: John Wiley & Sons

ISBN: 1118729412

Category: Business & Economics

Page: 360

View: 2583

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

Modeling Derivatives Applications in Matlab, C++, and Excel


Author: Justin London

Publisher: Ft Press

ISBN: 9780131962590

Category: Computers

Page: 565

View: 4997

Hundreds of financial institutions now market complex derivatives; thousands of financial and technical professionals need to model them accurately and effectively. This volume brings together proven, tested real-time models for each of todays leading modeling platforms to help professionals save months of development time, while improving the accuracy and reliability of the models they create.

Trading for Dummies

Zero-Intelligence Agents in Artifical Market Simulations


Author: N.A

Publisher: N.A



Page: 274

View: 8475

Cyclical Productivity in U.S. Manufacturing


Author: Miguel Jiménez

Publisher: Taylor & Francis

ISBN: 9780815329749

Category: Business & Economics

Page: 179

View: 3133

This work assesses empirically the various explanations for why productivity growth is procyclical. Some theories of business cycles state that productivity movements reflect changes in technology and are the driving force of economic fluctuations. This study investigates whether price-cost margins, externalities, or slow adjustment of the labor market can account for the behavior of productivity growth over the cycle. The application of standard econometric techniques to two different measures of productivity growth in American manufacturing industries, one based on quantities and one based on prices, shows that there is some labor hoarding, which is compatible with either margins or externalities.

Core Concepts in Data Analysis: Summarization, Correlation and Visualization


Author: Boris Mirkin

Publisher: Springer Science & Business Media

ISBN: 9780857292872

Category: Computers

Page: 390

View: 5485

Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called “formulation” parts, whereas most material is delivered through “presentation” parts that explain the methods by applying them to small real-world data sets; concise “computation” parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions.

C++ for Mathematicians

An Introduction for Students and Professionals


Author: Edward Scheinerman

Publisher: CRC Press

ISBN: 9781420010985

Category: Mathematics

Page: 520

View: 2130

For problems that require extensive computation, a C++ program can race through billions of examples faster than most other computing choices. C++ enables mathematicians of virtually any discipline to create programs to meet their needs quickly, and is available on most computer systems at no cost. C++ for Mathematicians: An Introduction for Students and Professionals accentuates C++ concepts that are most valuable for pure and applied mathematical research. This is the first book available on C++ programming that is written specifically for a mathematical audience; it omits the language’s more obscure features in favor of the aspects of greatest utility for mathematical work. The author explains how to use C++ to formulate conjectures, create images and diagrams, verify proofs, build mathematical structures, and explore myriad examples. Emphasizing the essential role of practice as part of the learning process, the book is ideally designed for undergraduate coursework as well as self-study. Each chapter provides many problems and solutions which complement the text and enable you to learn quickly how to apply them to your own problems. An accompanying CD ROM provides all numbered programs so that readers can easily use or adapt the code as needed. Presenting clear explanations and examples from the world of mathematics that develop concepts from the ground up, C++ for Mathematicians can be used again and again as a resource for applying C++ to problems that range from the basic to the complex.