Computers have become an essential part of our everyday lives. Even if you don’t use a computer for
writing letters, browsing the Internet, or playing games, you are using computers every time you draw
money from an ATM, use your cell phone, or phone automatic directory enquiries. A computer on its
own has no intelligence. All that a computer can do is follow a detailed set of instructions, so it…
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Author : Brian D. Hahn
Genre : Electronic books
Summary : This text serves as an introduction to the programming language Java for scientists and engineers, as well as experienced programmers wishing to learn Java as an additional language. The authors have specifically taken a hands-on approach to get the reader writing and running programs immediately. In addition, the book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems.
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Author : Brian D. Hahn
Genre : Computers
Summary : Essential Java serves as an introduction to the programming language, Java, for scientists and engineers, and can also be used by experienced programmers wishing to learn Java as an additional language. The book focuses on how Java, and object-oriented programming, can be used to solve science and engineering problems. Many examples are included from a number of different scientific and engineering areas, as well as from business and everyday life. Pre-written packages of code are provided to help in such areas as input/output, matrix manipulation and scientific graphing. Java source code and solutions to selected exercises are available at: www.bh.com/companions/0750659912 A free solutions manual is available to lecturers at: http://textbooks.elsevier.com * Takes a 'dive-in' approach, getting the reader writing and running programs immediately * Teaches object-oriented programming for problem-solving in engineering and science * Fully supported with online resources and listings to download
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Author : Doug Winnie
Genre :
Summary : Computer science has become a basic life skill that will impact almost every career, and it is a skill that anyone can learn. Whether you are going into a career or side hustle in business, technology, creativity, architecture, or almost any other field, you will find coding and computer science play a role. This book teaches you the essential skills for computer science using one of today's most popular programming languages, Java. Each lesson is designed to be completed in about an hour, giving you a step-by-step process to learn over time and integrate into your daily workflow and schedule. Whether you are a student starting out with computer science, or looking to reskill into a digital career, this text will help you dive into the fundamentals of programming and prepare yourself to jump start your journey into computer science. Inside you will learn: The primary building blocks of programming using the Java programming language Terminology and best practices of software development Object-oriented programming concepts Common-language definitions and examples to help drive understanding and comprehension of computer science fundamentals.
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Author : Stephen J. Chapman
Genre : Engineering
Summary : Presenting Java details on a need to know basis, this concise introduction to Java develops and executes practical examples useful for solving problems in an engineering environment. KEY TOPICS Focused on the proper way to write reliable Java programs, it outlines excellent software development practices; uses a top-down design technique to break the program up into logical portions; and demonstrates object re-usability by building later examples on the classes and methods created in earlier examples. The book also includes a number of supporting classes to make it easier for engineers to format numbers in Java, to display data in linear or logarithmic plots, to work with complex numbers, to manipulate arrays, and to perform such common engineering calculations as FFTs, convolutions, correlations, etc. Engineering and Science professionals.
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Author : Alexey Grigorev
Genre : Computers
Summary : Use Java to create a diverse range of Data Science applications and bring Data Science into production About This Book An overview of modern Data Science and Machine Learning libraries available in Java Coverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks. Easy-to-follow illustrations and the running example of building a search engine. Who This Book Is For This book is intended for software engineers who are comfortable with developing Java applications and are familiar with the basic concepts of data science. Additionally, it will also be useful for data scientists who do not yet know Java but want or need to learn it. If you are willing to build efficient data science applications and bring them in the enterprise environment without changing the existing stack, this book is for you! What You Will Learn Get a solid understanding of the data processing toolbox available in Java Explore the data science ecosystem available in Java Find out how to approach different machine learning problems with Java Process unstructured information such as natural language text or images Create your own search engine Get state-of-the-art performance with XGBoost Learn how to build deep neural networks with DeepLearning4j Build applications that scale and process large amounts of data Deploy data science models to production and evaluate their performance In Detail Java is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises. Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort. This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data. Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings. Style and approach This is a practical guide where all the important concepts such as classification, regression, and dimensionality reduction are explained with the help of examples.
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Author : Brian Hahn
Genre : Computers
Summary : Based on a teach-yourself approach, the fundamentals of MATLAB are illustrated throughout with many examples from a number of different scientific and engineering areas, such as simulation, population modelling, and numerical methods, as well as from business and everyday life. Some of the examples draw on first-year university level maths, but these are self-contained so that their omission will not detract from learning the principles of using MATLAB. This completely revised new edition is based on the latest version of MATLAB. New chapters cover handle graphics, graphical user interfaces (GUIs), structures and cell arrays, and importing/exporting data. The chapter on numerical methods now includes a general GUI-driver ODE solver. * Maintains the easy informal style of the first edition * Teaches the basic principles of scientific programming with MATLAB as the vehicle * Covers the latest version of MATLAB
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Author : Paul Gibbons
Genre : Computers
Summary : Gibbons shows developers how to move a J2EE application to .NET at the enterprise level, with detailed and serious discussions of how to port Servlet, JSP or EJB-based applications to ASP.NET.