The.Hottest

Paul Kinnear,‎ Colin Gray ... 464 pages - Publisher: Psychology Press; (July, 2004) ... Language: English - ISBN-10: 1841695246 - ISBN-13: 978-1841695242 ...

SPSS 12 Made Simple provides a step-by-step coverage of every aspect of data analysis with SPSS from data entry to interpretation of the output. As well as advice on data entry and checking, there is guidance on the best ways of describing a data set and the choice of an appropriate statistical technique. Finally, the output is fully explained, with reference to fully annotated SPSS output. Extensive illustrations show exactly what is on the screen at every stage of the process, helping the reader to avoid common pitfalls and check their progress along the way. Most chapters end with practical exercises to illustrate the main points raised and allow the reader to test their understanding; but there is a final general revision section with further exercises on a range of topics. SPSS 12 Made Simple: * Covers a wide range of statistical tests including t-tests, ANOVA, correlation, regression, multi-way frequency analysis, discriminant analysis, logistic regression and factor analysis. * Shows you how to get as much out of your data as possible. * Gives advice (with appropriate cautions and caveats) on choosing a statistical test. * Makes extensive use of annotated screen snapshots of SPSS output, windows and dialog boxes. * Includes both chapter-specific and general exercises.

Mario F. Triola ... 792 pages - Publisher: Pearson; 13th edition (January, 2017) ... Language: English - ISBN-10: 0134462459 - ISBN-13: 978-0134462455 ...

Real data brings statistics to life From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Elementary Statistics relentlessly current--with an unprecedented amount of up-to-the-minute real data--so that readers of all backgrounds understand the role of statistics in the world around them. In addition to an abundance of new data sets, examples, and exercises, the 13th Edition is designed to be even more flexible, with the addition of learning objectives as an organizational tool, larger data sets, and new topics in line with advancements in statistics.

Giuseppe C. Calafiore,‎ Laurent El Ghaoui ... 650 pages - Publisher: Cambridge Univ. Press; 1st edition (October, 2014) ... Language: English ... ISBN-10: 1107050871 - ISBN-13: 978-1107050877 ...

Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify, model and solve optimization problems - and apply these principles to their own projects. A clear and self-contained introduction to linear algebra demonstrates core mathematical concepts in a way that is easy to follow, and helps students to understand their practical relevance. Requiring only a basic understanding of geometry, calculus, probability and statistics, and striking a careful balance between accessibility and rigor, it enables students to quickly understand the material, without being overwhelmed by complex mathematics. Accompanied by numerous end-of-chapter problems, an online solutions manual for instructors, and relevant examples from diverse fields including engineering, data science, economics, finance, and management, this is the perfect introduction to optimization for undergraduate and graduate students.

Luis Rabelo,‎ Sayli Bhide,‎ Edgar Gutierrez ... 350 pages - Publisher: Nova Science; (February, 2018) ... Language: English - ISBN-10: 1536126772 - ISBN-13: 978-1536126778.

After decades of basic research and more promises than impressive applications, artificial intelligence (AI) is starting to deliver benefits. Organizations around the world have been realizing that there are substantial performance gains and increases in productivity for the use of AI and predictive analytics techniques. Their use is bringing a new era of breakthrough innovation and opportunities. This book, compiles research insights and applications in diverse areas such as manufacturing, supply chain management, pricing, autonomous vehicles, healthcare, ecommerce, and aeronautics. Using classical and advanced tools in AI such as deep learning, particle swarm optimization, support vector machines and genetic programming among others. This is a very distinctive book which discusses important applications using a variety of paradigms from AI and outlines some of the research to be performed. The work supersedes similar books that do not cover as diversified a set of sophisticated applications. The authors present a comprehensive and articulated view of recent developments, identifies the applications gap by quoting from the experience of experts, and details suggested research areas. Artificial Intelligence: Advances in Research and Applications guides the reader through an intuitive understanding of the methodologies and tools for building and modeling intelligent systems. The book's coverage is broad, starting with clustering techniques with unsupervised ensemble learning, where the optimal combination strategy of individual partitions is robust in comparison to the selection of an algorithmic clustering pool. The book discusses how the use of AI can allow for productivity development and other benefits not just for businesses, but also for economies. Finally, you can find an interesting investigation of the "transhuman" dimension of AI. (Nova)

Josh Patterson, Adam Gibson ... 532 pages - Publisher: O'Reilly Media; 1st edition (August, 2017) - Language: English - ISBN-10: 1491914254 - ISBN-13: 978-1491914250 ...

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library for developing production-class workflows. Through real-world examples, you’ll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular + Understand how deep networks evolved from neural network fundamentals + Explore the major deep network architectures, including Convolutional and Recurrent + Learn how to map specific deep networks to the right problem + Walk through the fundamentals of tuning general neural networks and specific deep network architectures + Use vectorization techniques for different data types with DataVec, DL4J’s workflow tool + Learn how to use DL4J natively on Spark and Hadoop.

Slava Gomzin .. 138 pages - Publisher: Universal Publishers; (March, 2016) ... Language: English - ISBN-10: 1627340718 - ISBN-13: 978-1627340717 ...

It's thoughtless to start using something you don't trust. It's difficult to start trusting something you don't understand. Bitcoin for Nonmathematicians contains answers to the following questions: how bitcoin is different from other payment systems, and why we can trust cryptocurrencies. The book compares bitcoin with its predecessors and competitors, and demonstrates the benefits of cryptocurrency over any other existing methods of payments. Bitcoin for Nonmathematicians starts from overview of the evolution of payment systems from gold and paper money to payment cards to cryptocurrencies, and ends up with explaining the fundamentals of security and privacy of crypto payments by explaining the details of cryptography behind bitcoin in layman's terms.

Gerard Dreyfus ... 498 pages - Publisher: Springer; Reprint of 1st edition (November, 2010) ... Language: English - ISBN-10: 3642061877 - ISBN-13: 978-3642061875 ...

Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.

Bruce Rogers ... 544 pages - Publisher: Heinle ELT; 1st edition (April, 2010) ... Language: English - ISBN-10: 111122059X - ISBN-13: 978-1111220594 ...

The instruction and practice in The Complete Guide to the TOEFL Test, PBT Edition, helps students master the skills necessary to achieve the best possible score on the Paper-based TOEFL and to prepare them for success in an academic setting. It is also suitable for preparation for the Institutional TOEFL.

H. Mendel ... 218 pages - Publisher: CreateSpace Independent Publ.; (October, 2016) ... Language: English - ISBN-10: 1539439321 - ISBN-13: 978-1539439325 ...

This book initiates the reader into the techniques of data analysis with MATLAB. The major contents are as follows: Data Processing Importing and Exporting Data Plotting Data Missing Data Representing Missing Data Values Working with NaNs Interpolating Missing Data Inconsistent Data Filtering Data Detrending Data Differencing Data Interactive Data Exploration Marking Up Graphs with Data Brushing Making Graphs Responsive with Data Linking Interacting with Graphed Data Data Brushing with the Variables Editor Using Data Tips to Explore Graphs Descriptive Statistics Functions for Calculating Descriptive Statistics Regression Analysis Linear Correlation Linear Regression Fitting Data with Curve Fitting Toolbox Functions Interactive Fitting Programmatic Fitting MATLAB Functions for Polynomial Models Linear Model with Nonpolynomial Terms Multiple Regression Time Series Analysis Time Series Objects Time Series Data Sample Time Series Constructor Time Series Tools Importing and Exporting Data Plotting Time Series Selecting Data for Analysis Editing Data, Time, Attributes, and Events Processing and Manipulating Time Series

Contact Form

Name

Email *

Message *

Powered by Blogger.