Verleger: Packt Publishing
Hari Manassery Koduvely
Bayesian Inference provides a unified framework to deal with all sorts of uncertainties when learning patterns form data using machine learning models and use it for predicting future observations. However, learning and implementing Bayesian models is not easy for data science practitioners due to the level of mathematical treatment involved. Also, applying Bayesian methods to real-world problems requires high computational resources. With the recent advances in computation and several open sources packages available in R, Bayesian modeling has become more feasible to use for practical applications today. Therefore, it would be advantageous for all data scientists and engineers to understand Bayesian methods and apply them in their projects to achieve better results.Learning Bayesian Models with R starts by giving you a comprehensive coverage of the Bayesian Machine Learning models and the R packages that implement them. It begins with an introduction to the fundamentals of probability theory and R programming for those who are new to the subject. Then the book covers some of the important machine learning methods, both supervised and unsupervised learning, implemented using Bayesian Inference and R.Every chapter begins with a theoretical description of the method explained in a very simple manner. Then, relevant R packages are discussed and some illustrations using data sets from the UCI Machine Learning repository are given. Each chapter ends with some simple exercises for you to get hands-on experience of the concepts and R packages discussed in the chapter.The last chapters are devoted to the latest development in the field, specifically Deep Learning, which uses a class of Neural Network models that are currently at the frontier of Artificial Intelligence. The book concludes with the application of Bayesian methods on Big Data using the Hadoop and Spark frameworks.
Learning BeagleBone. Learn how to love and care for your BeagleBone and teach it tricks
Hunyue Yau
This book is for new BeagleBone owners who are looking to quickly get their microboard up and running. It would be helpful to have an understanding of embedded concepts or Linux but neither is essential.
Learning Beaglebone Python Programming. Unleash the potential of BeagleBone using Python
Alexander C Hiam
If you have experience with the Python language and are interested in getting started with electronics, then BeagleBone Black is the perfect platform for you and this book will provide you with the information you need.
Enrique Javier A Rubio
This book is ideal for any JavaScript developer who is interested in producing well-tested code. If you have no prior experience with testing, Node.js, or any other tool, do not worry, as they will be explained from scratch.
Artan Sinani
Provided as a part of Microsoft's Bing suite of search engines, Bing Maps is a web mapping service powered by the Bing Maps for Enterprise framework. The need for geospatial data has increased dramatically in the last few years. Adding a mapping context to any location-based data is becoming more and more common, and businesses are embracing it to improve their user experience with new data richness. Comprising of simple, follow-along examples, Learning Bing Maps API will show you how to use the many features of Bing Maps, from dropping a simple map on a web page, to fetching geospatial data from the Microsoft servers. Through the course of this book you will build a solid foundation for creating your own geo-applications.Following the hands-on recipes of this book, you will build a different web app in each chapter as you communicate with different APIs provided by Bing Maps. You will build your own library of JavaScript modules that talk to the Microsoft Maps API.You will create a custom theme for the map, with your own controls. Taking advantage of the global reach of Bing Maps, you will learn how to build a route scheduler for a delivery company in Madrid, Spain, and then you will discover how to create jobs on the Bing Maps servers for geocoding addresses in California, USA. By the end of the book you will have learned everything you need to know to embed a map on a web page, with your own geo-data, or data obtained by the Bing Map Services.
Richard Caetano
The financial crisis of 2008 raised attention to the need for transparency and accountability in the financial world. As banks and governments were scrambling to stay solvent while seeking a sustainable plan, a powerfully new and resilient technology emerged.Bitcoin, built on a fundamentally new technology called “The Blockchain,” offered the promise of a new financial system where transactions are sent directly between two parties without the need for central control.Bitcoin exists as an open and transparent financial system without banks, governments, or corporate support. Simply put, Bitcoin is “programmable money” that has the potential to change the world on the same scale as the Internet itself.This book arms you with immense knowledge of Bitcoin and helps you implement the technology in your money matters, enabling secure transactions.We first walk through the fundamentals of Bitcoin, illustrate how the technology works, and exemplify how to interact with this powerful and new financial technology. You will learn how to set up your online Bitcoin wallet, indulge in buying and selling of bitcoins, and manage their storage. We then get to grips with the most powerful algorithm of all times: the Blockchain, and learn how crypto-currencies can reduce the risk of fraud for e-commerce merchants and consumers.With a solid base of Blockchain, you will write and execute your own custom transactions. Most importantly, you will be able to protect and secure your Bitcoin with the help of effective solutions provided in the book. Packed with plenty of screenshots, Learning Bitcoin is a simple and painless guide to working with Bitcoin.
Arindam Mukherjee
If you are a C++ programmer who has never used Boost libraries before, this book will get you up-to-speed with using them. Whether you are developing new C++ software or maintaining existing code written using Boost libraries, this hands-on introduction will help you decide on the right library and techniques to solve your practical programming problems.
Learning Bootstrap 4 by Building Projects. Develop 5 real-world Bootstrap 4.x projects from scratch
Eduonix Learning Solutions
Bootstrap, the world’s most popular frontend framework, is an open source toolkit for building web applications with HTML, CSS, and JavaScript.Learning Bootstrap 4 by Building Projects covers the essentials of Bootstrap 4 along with best practices. The book begins by introducing you to the latest features of Bootstrap 4. You will learn different elements and components of Bootstrap, such as the strict grid system, Sass, which replaced Less, flexbox, Font Awesome, and cards. As you make your way through the chapters, you will use a template that will help you to build different kinds of real-world websites, such as a social media website, a company landing page, a media hosting website, and a profile page, with ease.By the end of this book, you will have built websites that are visually appealing, responsive, and robust.