Data Mining Algorithms in C++
Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widespread use. Others are standard algorithms given a fresh look. In every case, the focus is on practical applicability, with all code written in such a way that it can easily be included into any program. The Windows-based DATAMINE program lets you experiment with the techniques before incorporating them into your own work. Use Monte-Carlo permutation tests to provide statistically sound assessments of relationships present in your data; Discover how combinatorially symmetric cross validation reveals whether your model h ...
Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widespread use. Others are standard algorithms given a fresh look. In every case, the focus is on practical applicability, with all code written in such a way that it can easily be included into any program. The Windows-based DATAMINE program lets you experiment with the techniques before incorporating them into your own work. Use Monte-Carlo permutation tests to provide statistically sound assessments of relationships present in your data; Discover how combinatorially symmetric cross validation reveals whether your model h ...
The Hardware Hacker
For over a decade, Andrew "bunnie" Huang, one of the world's most esteemed hackers, has shaped the fields of hacking and hardware, from his cult-classic book Hacking the Xbox to the open-source laptop Novena and his mentorship of various hardware startups and developers. In The Hardware Hacker, Huang shares his experiences in manufacturing and open hardware, creating an illuminating and compelling career retrospective. Huang's journey starts with his first visit to the staggering electronics markets in Shenzhen, with booths overflowing with capacitors, memory chips, voltmeters, and possibility. He shares how he navigated the overwhelming world of Chinese factories to bring chumby, Novena, and Chibitronics to life, covering everything from creating a Bill of Materials to choosing the factory to best fit his needs. Through this collection of personal essays and interviews on topics ranging from the legality of reverse engineering to a comparison of intellectual property practices b ...
For over a decade, Andrew "bunnie" Huang, one of the world's most esteemed hackers, has shaped the fields of hacking and hardware, from his cult-classic book Hacking the Xbox to the open-source laptop Novena and his mentorship of various hardware startups and developers. In The Hardware Hacker, Huang shares his experiences in manufacturing and open hardware, creating an illuminating and compelling career retrospective. Huang's journey starts with his first visit to the staggering electronics markets in Shenzhen, with booths overflowing with capacitors, memory chips, voltmeters, and possibility. He shares how he navigated the overwhelming world of Chinese factories to bring chumby, Novena, and Chibitronics to life, covering everything from creating a Bill of Materials to choosing the factory to best fit his needs. Through this collection of personal essays and interviews on topics ranging from the legality of reverse engineering to a comparison of intellectual property practices b ...
The Arduino Inventor's Guide
The Arduino microcontroller makes it easy to learn about electronics, but it can be hard to know where to start. The 10 projects in this book will teach you to build, code, and invent with the super-smart Arduino and a handful of parts. First, you'll master the basics with a primer that explains how a circuit works, how to read a wiring schematic, and how to build and test projects with a solderless breadboard. Then you'll learn how to make your hardware move, buzz, flash, and interact with the world using motors, LEDs, sensors, and more as you build these 10 projects:The classic first Arduino project: blinking an LED;A miniature traffic light;An LED screen that displays animated patterns and shapes;A fast-paced button-smashing game to test your reflexes;A light-sensitive, color-changing night-light;A challenging ball-balancing game;A temperature-sensing mini greenhouse with an automated fan and vent;A motorized ...
The Arduino microcontroller makes it easy to learn about electronics, but it can be hard to know where to start. The 10 projects in this book will teach you to build, code, and invent with the super-smart Arduino and a handful of parts. First, you'll master the basics with a primer that explains how a circuit works, how to read a wiring schematic, and how to build and test projects with a solderless breadboard. Then you'll learn how to make your hardware move, buzz, flash, and interact with the world using motors, LEDs, sensors, and more as you build these 10 projects:The classic first Arduino project: blinking an LED;A miniature traffic light;An LED screen that displays animated patterns and shapes;A fast-paced button-smashing game to test your reflexes;A light-sensitive, color-changing night-light;A challenging ball-balancing game;A temperature-sensing mini greenhouse with an automated fan and vent;A motorized ...
Learn Java the Easy Way
Java is the world's most popular programming language, but it's known for having a steep learning curve. Learn Java the Easy Way takes the chore out of learning Java with hands-on projects that will get you building real, functioning apps right away. You'll start by familiarizing yourself with JShell, Java's interactive command line shell that allows programmers to run single lines of code and get immediate feedback. Then, you'll create a guessing game, a secret message encoder, and a multitouch bubble-drawing app for both desktop and mobile devices using Eclipse, an industry-standard IDE, and Android Studio, the development environment for making Android apps. As you build these apps, you'll learn how to: Perform calculations, manipulate text strings, and generate random colors; Use conditions, loops, and methods to make your programs responsive and concise; Create functions to reuse code and save time; Build graphical user interface (GUI) elements, including buttons, menus, pop ...
Java is the world's most popular programming language, but it's known for having a steep learning curve. Learn Java the Easy Way takes the chore out of learning Java with hands-on projects that will get you building real, functioning apps right away. You'll start by familiarizing yourself with JShell, Java's interactive command line shell that allows programmers to run single lines of code and get immediate feedback. Then, you'll create a guessing game, a secret message encoder, and a multitouch bubble-drawing app for both desktop and mobile devices using Eclipse, an industry-standard IDE, and Android Studio, the development environment for making Android apps. As you build these apps, you'll learn how to: Perform calculations, manipulate text strings, and generate random colors; Use conditions, loops, and methods to make your programs responsive and concise; Create functions to reuse code and save time; Build graphical user interface (GUI) elements, including buttons, menus, pop ...
Think Data Structures
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
C# 7.0 Pocket Reference
When you need answers for programming with C# 7.0, this tightly focused reference tells you exactly what you need to know - without long introductions or bloated examples. Easy-to-browse and ideal as a quick reference, this guide will help experienced C#, Java, and C++ programmers get up to speed with the latest version of the C# language. All programs and code snippets in this book are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 7.0 in a Nutshell, this pocket reference covers C# 7.0 without skimping on detail, including: All of C#'s fundamentals; Features new to C# 7.0, including tuples, pattern matching, and deconstructors; Advanced topics: operator overloading, type constraints, iterators, nullable types, operator lifting, lambda expressions, and closures; LINQ: sequences, lazy execution, standard query operators, and query expressions; Unsaf ...
When you need answers for programming with C# 7.0, this tightly focused reference tells you exactly what you need to know - without long introductions or bloated examples. Easy-to-browse and ideal as a quick reference, this guide will help experienced C#, Java, and C++ programmers get up to speed with the latest version of the C# language. All programs and code snippets in this book are available as interactive samples in LINQPad. You can edit these samples and instantly see the results without needing to set up projects in Visual Studio. Written by the authors of C# 7.0 in a Nutshell, this pocket reference covers C# 7.0 without skimping on detail, including: All of C#'s fundamentals; Features new to C# 7.0, including tuples, pattern matching, and deconstructors; Advanced topics: operator overloading, type constraints, iterators, nullable types, operator lifting, lambda expressions, and closures; LINQ: sequences, lazy execution, standard query operators, and query expressions; Unsaf ...
Effective Modern C++
Coming to grips with C++11 and C++14 is more than a matter of familiarizing yourself with the features they introduce (e.g., auto type declarations, move semantics, lambda expressions, and concurrency support). The challenge is learning to use those features effectively - so that your software is correct, efficient, maintainable, and portable. That's where this practical book comes in. It describes how to write truly great software using C++11 and C++14 - i.e. using modern C++. Topics include: The pros and cons of braced initialization, noexcept specifications, perfect forwarding, and smart pointer make functions; The relationships among std::move, std::forward, rvalue references, and universal references; Techniques for writing clear, correct, effective lambda expressions; How std::atomic differs from volatile, how each should be used, and how they relate to C++'s concurrency API; How best practices in "old" C++ programming (i.e., C++98) require revision for software development in m ...
Coming to grips with C++11 and C++14 is more than a matter of familiarizing yourself with the features they introduce (e.g., auto type declarations, move semantics, lambda expressions, and concurrency support). The challenge is learning to use those features effectively - so that your software is correct, efficient, maintainable, and portable. That's where this practical book comes in. It describes how to write truly great software using C++11 and C++14 - i.e. using modern C++. Topics include: The pros and cons of braced initialization, noexcept specifications, perfect forwarding, and smart pointer make functions; The relationships among std::move, std::forward, rvalue references, and universal references; Techniques for writing clear, correct, effective lambda expressions; How std::atomic differs from volatile, how each should be used, and how they relate to C++'s concurrency API; How best practices in "old" C++ programming (i.e., C++98) require revision for software development in m ...
Head First Ruby
What's all the buzz about this Ruby language? Is it right for you? Well, ask yourself: are you tired of all those extra declarations, keywords, and compilation steps in your other language? Do you want to be a more productive programmer? Then you'll love Ruby. With this unique hands-on learning experience, you'll discover how Ruby takes care of all the details for you, so you can simply have fun and get more done with less code. Based on the latest research in cognitive science and learning theory, Head First Ruby uses a visually rich format to engage your mind, rather than a text-heavy approach to put you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works. ...
What's all the buzz about this Ruby language? Is it right for you? Well, ask yourself: are you tired of all those extra declarations, keywords, and compilation steps in your other language? Do you want to be a more productive programmer? Then you'll love Ruby. With this unique hands-on learning experience, you'll discover how Ruby takes care of all the details for you, so you can simply have fun and get more done with less code. Based on the latest research in cognitive science and learning theory, Head First Ruby uses a visually rich format to engage your mind, rather than a text-heavy approach to put you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works. ...
Building Probabilistic Graphical Models with Python
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. ...
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. ...
Mastering Probabilistic Graphical Models Using Python
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...