Название: Artificial Intelligence and Problem Solving
Автор: Danny Kopec, Christopher Pileggi
Издательство: Mercury Learning & Information
ISBN: 194453458X
Год: 2016
Страниц: 372
Язык: английский
Формат: pdf (true)
Размер: 63.8 MB

This book lends insight into solving some well-known artificial intelligence (AI) problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI-type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve.

Название: Data Mining and Business Analytics with R
Автор: Johannes Ledolter
Издательство: Wiley
ISBN: 111844714X
Год: 2013
Страниц: 368
Язык: английский
Формат: pdf (true)
Размер: 21.2 MB

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high–dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification. Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling.

Название: Data Structures and Algorithm Analysis in Java
Автор: Mark A. Weiss
Издательство: Pearson
Год: 2011
Формат: PDF
Страниц: 648
Для сайта: litmy.ru
Размер: 7 Mb
Язык: English

Data Structures and Algorithm Analysis in Java is an “advanced algorithms” book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7. This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math.

Название: Essential SharePoint® 2013: Practical Guidance for Meaningful Business Results (3rd Edition)
Автор: Scott Jamison, Susan Hanley, Chris Bortlik
Издательство: Addison-Wesley Professional
Год: 2013
Формат: PDF
Страниц: 784
Для сайта: litmy.ru
Размер: 9 Mb
Язык: English

The Only Book That’s 100% Focused on Maximizing the Business Value of SharePoint 2013
Essential SharePoint® 2013 approaches Microsoft SharePoint 2013 from a strict business value perspective, helping you plan and implement solutions that achieve effective business results.
Leading SharePoint experts draw on their unsurpassed experience to provide business-focused guidance on strategy, governance, planning, deployment, and more. You’ll find in-depth insights for success with collaboration, knowledge and content management, governance, and user adoption.

Название: javascript Step by Step
Автор: Steve Suehring
Издательство: Microsoft Press
Год: 2013
Формат: PDF
Страниц: 482
Для сайта: litmy.ru
Размер: 7 Mb
Язык: English

Your hands-on guide to jаvascript fundamentals
Expand your expertise—and teach yourself the fundamentals of jаvascript. If you have previous programming experience but are new to jаvascript, this tutorial delivers the step-by-step guidance and coding exercises you need to master core topics and techniques.

Название: The Computer Science Handbook
Автор: Michael Young
Издательство: Autoedici?n
Год: 2015
Формат: pdf
Страниц: 191
Размер: 1.2 mb.
Язык: English

The Computer Science handbook is a handbook designed to explain algorithms and data structures in a way that anyone can understand. Many websites (eg Wikipedia) contain lengthy and wordy explanations that are full of technical jargon. We have tried our hardest to simplify all language to make it easy to read without any math or computer science background.

Название: OpenIntro Statistics. Second Edition
Автор: Various
Издательство: Autoedici?n
Год: 2014
Формат: pdf
Страниц: 426
Размер: 8.8 mb.
Язык: English

The chapters of this book are as follows:

Introduction to data. Data structures, variables, summaries, graphics, and basic data collection techniques.
Probability (special topic). The basic principles of probability. An understanding of this chapter is not required for the main content in Chapters 3-8.
Distributions of random variables. Introduction to the normal model and other key distributions.
Foundations for inference. General ideas for statistical inference in the context of estimating the population mean.
Inference for numerical data. Inference for one or two sample means using the normal model and t distribution, and also comparisons of many means using ANOVA.
Inference for categorical data. Inference for proportions using the normal and chisquare distributions, as well as simulation and randomization techniques.
Introduction to linear regression. An introduction to regression with two variables.
Multiple and logistic regression. An introduction to multiple regression and logistic regression for an accelerated course.

Название: Models of Computation
Автор: John E. Savage
Издательство: Brown University
Год: 2012
Формат: pdf
Страниц: 698
Размер: 4 mb.
Язык: English

Theoretical computer science treats any computational subject for which a good model can be created. Research on formal models of computation was initiated in the 1930s and 1940s by Turing, Post, Kleene, Church, and others. In the 1950s and 1960s programming languages, language translators, and operating systems were under development and therefore became both the subject and basis for a great deal of theoretical work. The power of computers of this period was limited by slow processors and small amounts of memory, and thus theories (models, algorithms, and analysis) were developed to explore the efficient use of computers as well as the inherent complexity of problems. The former subject is known today as algorithms and data structures, the latter computational complexity.

Название: Lecture Notes on Static Analysis
Автор: Michael I. Schwartzbach
Издательство: University of Aarhus
Год: 2015
Формат: pdf
Страниц: 58
Размер: 0.3 mb.
Язык: English

These notes present principles and applications of static analysis of programs. We cover type analysis, lattice theory, control flow graphs, dataflow analysis, fixed-point algorithms, narrowing and widening, interprocedural analysis, control flow analysis, and pointer analysis.

Название: Lecture Notes in Machine Learning
Автор: Zdravko Markov
Издательство: Autoedici?n
Год: 2013
Формат: pdf
Страниц: 65
Размер: 0.3 mb.
Язык: English

Any change in a system that al lows it to perform better the second time o n repet ition of the same t ask or on anot her task drawn from the same population.