Algorithms in a Nutshell

Algorithms in a Nutshell
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 366
Release :
ISBN-10 : 9781449391133
ISBN-13 : 1449391133
Rating : 4/5 (33 Downloads)

Book Synopsis Algorithms in a Nutshell by : George T. Heineman

Download or read book Algorithms in a Nutshell written by George T. Heineman and published by "O'Reilly Media, Inc.". This book was released on 2008-10-14 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs -- with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C++, Java, and Ruby with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms With Algorithms in a Nutshell, you'll learn how to improve the performance of key algorithms essential for the success of your software applications.

Statistics in a Nutshell

Statistics in a Nutshell
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 595
Release :
ISBN-10 : 9781449316822
ISBN-13 : 1449316824
Rating : 4/5 (22 Downloads)

Book Synopsis Statistics in a Nutshell by : Sarah Boslaugh

Download or read book Statistics in a Nutshell written by Sarah Boslaugh and published by "O'Reilly Media, Inc.". This book was released on 2012-11-15 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear and concise introduction and reference for anyone new to the subject of statistics.

R in a Nutshell

R in a Nutshell
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 723
Release :
ISBN-10 : 9781449312084
ISBN-13 : 144931208X
Rating : 4/5 (84 Downloads)

Book Synopsis R in a Nutshell by : Joseph Adler

Download or read book R in a Nutshell written by Joseph Adler and published by "O'Reilly Media, Inc.". This book was released on 2012-10-09 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a guide to the R computer language, covering such topics as the user interface, packages, syntax, objects, functions, object-oriented programming, data sets, lattice graphics, regression models, and bioconductor.

Essential Algorithms

Essential Algorithms
Author :
Publisher : John Wiley & Sons
Total Pages : 1040
Release :
ISBN-10 : 9781119575986
ISBN-13 : 1119575982
Rating : 4/5 (86 Downloads)

Book Synopsis Essential Algorithms by : Rod Stephens

Download or read book Essential Algorithms written by Rod Stephens and published by John Wiley & Sons. This book was released on 2019-05-15 with total page 1040 pages. Available in PDF, EPUB and Kindle. Book excerpt: A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated math Steps through powerful algorithms that can be used to solve difficult programming problems Helps prepare for programming job interviews that typically include algorithmic questions Offers methods can be applied to any programming language Includes exercises and solutions useful to both professionals and students Provides code examples updated and written in Python and C# Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).

C in a Nutshell

C in a Nutshell
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 823
Release :
ISBN-10 : 9781491924198
ISBN-13 : 1491924195
Rating : 4/5 (98 Downloads)

Book Synopsis C in a Nutshell by : Peter Prinz

Download or read book C in a Nutshell written by Peter Prinz and published by "O'Reilly Media, Inc.". This book was released on 2015-12-10 with total page 823 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of this classic O’Reilly reference provides clear, detailed explanations of every feature in the C language and runtime library, including multithreading, type-generic macros, and library functions that are new in the 2011 C standard (C11). If you want to understand the effects of an unfamiliar function, and how the standard library requires it to behave, you’ll find it here, along with a typical example. Ideal for experienced C and C++ programmers, this book also includes popular tools in the GNU software collection. You’ll learn how to build C programs with GNU Make, compile executable programs from C source code, and test and debug your programs with the GNU debugger. In three sections, this authoritative book covers: C language concepts and language elements, with separate chapters on types, statements, pointers, memory management, I/O, and more The C standard library, including an overview of standard headers and a detailed function reference Basic C programming tools in the GNU software collection, with instructions on how use them with the Eclipse IDE

Understanding Machine Learning

Understanding Machine Learning
Author :
Publisher : Cambridge University Press
Total Pages : 415
Release :
ISBN-10 : 9781107057135
ISBN-13 : 1107057132
Rating : 4/5 (35 Downloads)

Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Think Complexity

Think Complexity
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 159
Release :
ISBN-10 : 9781449331696
ISBN-13 : 1449331696
Rating : 4/5 (96 Downloads)

Book Synopsis Think Complexity by : Allen B. Downey

Download or read book Think Complexity written by Allen B. Downey and published by "O'Reilly Media, Inc.". This book was released on 2012-02-23 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers