One he won't fall in love with... Luke Thompson made a huge mistake when he married his now ex-wife Sarah Smith, but he never thought she would take things as far as she had. She wanted money, the same money she had on hand when they were married, only she doesn’t want him anywhere around, and that means in the picture with his son, either. After a brutal court battle, and accusations that destroyed his credibility as a father, he is left with nothing but his job, and the enjoyment of being a single man. He know he has to get his son back, and when his tough as nails attorney comes to him with an opportunity he is torn at what to do. He needs a wife, or at least a fake one, but where do you just pick up something like that? Then he meets Quinn. Hot, nice and kind. She’s the perfect woman.

    With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligenceThis book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

    An introduction to Python programming for beginners.

    Swift builds on the best of C and Objective-C, without the constraints of C compatibility. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun. Swift’s clean slate, backed by the mature and much-loved Cocoa and Cocoa Touch frameworks, is an opportunity to reimagine how software development works.

    

    Unlike other blog hosts, WordPress gives you the ability to create a blog that is tailored to your own tastes and needs. Sure, the codes, tags, and terminology can seem a little intimidating at first, but WordPress for Dummies breaks it all down to show you just how intuitive, friendly, and extensible the software really is. This easy-to-follow guide shows you how to:Sign up for a free WordPress account Set up and use a hosted blog with WordPress.com Install and set up the WordPress.Org and WordPress.MU software for single- and multi-user versions Find great themes, plugins, and consultants that will help you achieve JUST the kind of blog you want Use tags to work with WordPress templates Combat challenges with comments, trackback spam, and "splogs" Add special technologies to your blog, such as RSS feed, podcasting, vlogging, and photoblogging Find online support, tips, and resources for WordPress software Whether you want to keep family and friends updated on your latest adventures, post pictures of your new puppy, or communicate your passion with millions of readers worldwide, WordPress for Dummies is your passport to creating the kind of blog that will keep your visitors coming back for more!

    Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works.Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you're ready to get started.Use R's default graphics for quick exploration of dataCreate a variety of bar graphs, line graphs, and scatter plotsSummarize data distributions with histograms, density curves, box plots, and other examplesProvide annotations to help viewers interpret dataControl the overall appearance of graphicsRender data groups alongside each other for easy comparisonUse colors in plotsCreate network graphs, heat maps, and 3D scatter plotsStructure data for graphing

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees

    If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book.With this book, you'll learn:Fundamental concepts and applications of machine learningAdvantages and shortcomings of widely used machine learning algorithmsHow to represent data processed by machine learning, including which data aspects to focus onAdvanced methods for model evaluation and parameter tuningThe concept of pipelines for chaining models and encapsulating your workflowMethods for working with text data, including text-specific processing techniquesSuggestions for improving your machine learning and data science skills

    It is a great book, not just for beginning programmers, but also for computer users who would want to have an idea what is happening behind the scenes as they work with various computer programs. In this book, you are going to learn what the C programming language entails, how to write conditions, expressions, statements and even commands, for the language to perform its functions efficiently. You will learn too how to organize relevant expressions so that after compilation and execution, the computer returns useful results and not error messages. Additionally, this book details the data types that you need for the C language and how to present it as well. Simply put, this is a book for programmers, learners taking other computer courses, and other computer users who would like to be versed with the workings of the most popular computer language, C. In this book You'll learn: What Is The C Language? Setting Up Your Local Environment The C Structure and Data Type C Constants and Literals C Storage Classes Making Decisions In C The Role Of Loops In C Programming Functions in C Programming Structures and Union in C Bit Fields and Typedef Within C. C Header Files and Type Casting Benefits Of Using The C Language ...and much more!! Download your copy today! click the BUY button and download it right now!

     Neural networks are a key element of deep learning and artificial intelligence, which today is capable of some truly impressive feats. Yet too few really understand how neural networks actually work. This guide will take you on a fun and unhurried journey, starting from very simple ideas, and gradually building up an understanding of how neural networks work. You won't need any mathematics beyond secondary school, and an accessible introduction to calculus is also included. The ambition of this guide is to make neural networks as accessible as possible to as many readers as possible - there are enough texts for advanced readers already! You'll learn to code in Python and make your own neural network, teaching it to recognise human handwritten numbers, and performing as well as professionally developed networks. Part 1 is about ideas. We introduce the mathematical ideas underlying the neural networks, gently with lots of illustrations and examples. Part 2 is practical. We introduce the popular and easy to learn Python programming language, and gradually builds up a neural network which can learn to recognise human handwritten numbers, easily getting it to perform as well as networks made by professionals. Part 3 extends these ideas further. We push the performance of our neural network to an industry leading 98% using only simple ideas and code, test the network on your own handwriting, take a privileged peek inside the mysterious mind of a neural network, and even get it all working on a Raspberry Pi. All the code in this has been tested to work on a Raspberry Pi Zero.

    Almost everything you've read about formatting pictures for Kindle is wrong. The advice offered by Kindle experts and even Amazon itself can give images that are tiny, blocky, noisy, or wildly inconsistent on different Kindles. Aaron Shepard, author of acclaimed books on both Kindle and print publishing, brings his years of experience in book design, webmastering, and photography to bear on a single question: How do you make pictures look great on the Kindle? He answers that question, while also providing beginners a basic course in picture editing. Along the way, he discusses how to keep Microsoft Word from sneakily degrading your pictures; how to adjust HTML code to show images at their best; how to make part of a picture transparent against colored backgrounds; how to boost the power of your cover image as a marketing tool; and how to create anything from children's books to photography books to poetry books within minutes with the Kindle Comic Creator. Nowhere else will you find such in-depth info on working with Kindle images. Whatever kind you're using -- photos, paintings, drawings, diagrams, tables, screenshots -- you'll find -Pictures on Kindle- an essential guide. ///////////////////////////////////////////////// Aaron Shepard is a foremost proponent of the new business of profitable self publishing, which he has practiced and helped develop since 1998. He is the author of -Aiming at Amazon, - -POD for Profit, - -Perfect Pages, - and -From Word to Kindle, - Amazon's #1 bestselling paid book on Kindle formatting. ///////////////////////////////////////////////// REVIEWS -Far and away the best resource I know for self publishers who plan to include photos or other graphics in their Kindle books. From tips on taking photos, through sizing, optimizing, and placing, this book wastes no space in giving you exactly the information you need. Highly recommended.- -- Joel Friedlander, TheBookDesigner.com -A detailed, comprehensive guide to getting the best out of your images on Kindle. From taking photos, to scanning, to optimizing, Aaron covers every possible step in making sure your images display well in Kindle format. In addition, he provides very useful explanations of the Kindle's image handling, for those of us who like to understand the reasons behind the steps. I for one will be adding this to my list of reference materials.- -- Jim Brown, JimandZetta.com (ebook services) ///////////////////////////////////////////////// CONTENTS Getting Started 1 PICTURE BASICS File Formats Resolution Color Mode Color Space 2 PICTURE SOURCES Photography Scanning 3 PICTURE EDITING Cleanup and Repair Cropping Contrast, Brightness, Tint Sizing Sharpening Transparency Lines and Letters 4 PICTURE HANDLING Positioning Pictures in Word Pictures in HTML Fixed Format 5 PICTURE PUBLISHING Submitting and Previewing Cover Images Production FAQ

    Scripting is a way to harness and customize the power of any Unix system, and it's an essential skill for any Unix users, including system administrators and professional OS X developers. But beneath this simple promise lies a treacherous ocean of variations in Unix commands and standards.bash Cookbook teaches shell scripting the way Unix masters practice the craft. It presents a variety of recipes and tricks for all levels of shell programmers so that anyone can become a proficient user of the most common Unix shell -- the bash shell -- and cygwin or other popular Unix emulation packages. Packed full of useful scripts, along with examples that explain how to create better scripts, this new cookbook gives professionals and power users everything they need to automate routine tasks and enable them to truly manage their systems -- rather than have their systems manage them.

    This book will teach you how to use bash's advanced command-line features, such as command history, command-line editing, and command completion.This book also introduces shell programming,a skill no UNIX or Linus user should be without. The book demonstrates what you can do with bash's programming features. You'll learn about flow control, signal handling, and command-line processing and I/O. There is also a chapter on debugging your bash programs.Finally, Learning the bash Shell, Third Edition, shows you how to acquire, install, configure, and customize bash, and gives advice to system administrators managing bash for their user communities.This Third Edition covers all of the features of bash Version 3.0, while still applying to Versions 1.x and 2.x. It includes a debugger for the bash shell, both as an extended example and as a useful piece of working code. Since shell scripts are a significant part of many software projects, the book also discusses how to write maintainable shell scripts. And, of course, it discusses the many features that have been introduced to bash over the years: one-dimensional arrays, parameter expansion, pattern-matching operations, new commands, and security improvements.Unfailingly practical and packed with examples and questions for future study, Learning the bash Shell Third Edition is a valuable asset for Linux and other UNIX users.--back cover