The authors begin by describing what patterns are and how they can help you design object-oriented software. They then go on to systematically name, explain, evaluate, and catalog recurring designs in object-oriented systems. With Design Patterns as your guide, you will learn how these important patterns fit into the software development process, and how you can leverage them to solve your own design problems most efficiently.
Each pattern describes the circumstances in which it is applicable, when it can be applied in view of other design constraints, and the consequences and trade-offs of using the pattern within a larger design. All patterns are compiled from real systems and are based on real-world examples. Each pattern also includes code that demonstrates how it may be implemented in object-oriented programming languages like C++ or Smalltalk.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details
Linux Pocket Guide provides an organized learning path to help you gain mastery of the most useful and important commands. Whether you’re a novice who needs to get up to speed on Linux or an experienced user who wants a concise and functional reference, this guide provides quick answers.
Selected topics include:The filesystem and shellFile creation and editingText manipulation and pipelinesBackups and remote storageViewing and controlling processesUser account managementBecoming the superuserNetwork connectionsAudio and videoInstalling softwareProgramming with shell scripts
Do you want to get started with creating your own vehicles,maps, landscapes, and tools that you can use in the game and sharewith the Farming Simulator community? Then this is the resource foryou! With the help of Jason van Gumster, you'll get up and runningon everything you need to master 3D modeling andsimulation—and have fun while doing it! Inside, you'll findout how to create and edit maps, start using the material panel,customize your mods by adding texture, use the correct file-namingconventions, test your mod in single and multiplayer modes, get agrip on using Vehicle XML, and so much more.
There's no denying that Farming Simulator players lovemodding—and now there's a trusted, friendly resource to helpyou take your modding skills to the next level and get even moreout of your game. Written in plain English and packed with tons ofstep-by-step explanations, Farming Simulator Modding ForDummies is a great way to learn the ropes of 3D modeling withthe tools available to you in the game. In no time, you'll bewowing your fellow gamesters—and yourself—with custom,kick-butt mods. So what are you waiting for?Includes an easy-to-follow introduction to using the GIANTS 3Dmodeling toolsExplains how to export models to Blender, Maya, 3DS Max, orFBXProvides tips for using the correct image format fortexturesDetails how to use Photoshop and Audacity to create custom modsfor Farming Simulator
Whether you're one of the legions of rabid fans of the popularFarming Simulator game or just someone who wants to learn thebasics of 3D modeling and animation, you'll find everything youneed in this handy guide.
Thinking, and betting, like the pros
"Most people in sports betting are looking at things the wrong way."
- Peter Webb, founder of Bet Angel
"Some people only ever seem to want to hit the sexy six, and not take the singles"
- Compton Hellyer, founder of Sporting Index
This is a book that teaches you how to bet on sports with the same discipline and mindset as the professionals.
Lots of books and websites give advice on profitable strategies - and tipsters and systems proliferate. But this is the only guide that helps you make your trades and bank your wins for the long term, avoiding the perennial dangers of overconfidence, irrationality and emotion.
However successful your selections, you are never safe from crippling losses until you know how to bet with the clear head and calm approach of the masters.
The simple fact is that most people betting on sports lose over the long term. Performance errors currently hamper the majority of bettors: they lose their bets because they first lose their heads.The only answer is to think differently. With chapters ranging across motivation, performance analysis, the betting process and going pro, this book is the definitive guide to achieving this:
- Use dozens of exercises to sharpen your thinking and refine your betting processes.
- Share in the exclusive insights of professional sports bettors, who reveal for the first time how they have built successful gambling careers.
- Benefit in every chapter from one-to-one training from the author, a professional sports and trading performance coach.
Sports Betting to Win is your own personal course for establishing a firm psychological foundation for long-term betting success.
This book is dedicated to all the machine learning and deep learning enthusiasts, data scientists, researchers, and even students who want to perform more accurate, fast machine learning operations with TensorFlow. Those with basic knowledge of programming (Python and C/C++) and math concepts who want to be introduced to the topics of machine learning will find this book useful.What You Will LearnInstall and adopt TensorFlow in your Python environment to solve mathematical problemsGet to know the basic machine and deep learning conceptsTrain and test neural networks to fit your data modelMake predictions using regression algorithmsAnalyze your data with a clustering procedureDevelop algorithms for clustering and data classificationUse GPU computing to analyze big dataIn Detail
Google's TensorFlow engine, after much fanfare, has evolved in to a robust, user-friendly, and customizable, application-grade software library of machine learning (ML) code for numerical computation and neural networks.
This book takes you through the practical software implementation of various machine learning techniques with TensorFlow. In the first few chapters, you'll gain familiarity with the framework and perform the mathematical operations required for data analysis. As you progress further, you'll learn to implement various machine learning techniques such as classification, clustering, neural networks, and deep learning through practical examples.
By the end of this book, you'll have gained hands-on experience of using TensorFlow and building classification, image recognition systems, language processing, and information retrieving systems for your application.Style and approach
Get quickly up and running with TensorFlow using this fast-paced guide. You will get to know everything that can be done with TensorFlow and we'll show you how to implement it in your environment. The examples in the book are from the core of the computation industry—something you can connect to and will find familiar.
With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. Hands-on exercises in each chapter help you apply what you’ve learned.
This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision.Learn OpenCV data types, array types, and array operationsCapture and store still and video images with HighGUITransform images to stretch, shrink, warp, remap, and repairExplore pattern recognition, including face detectionTrack objects and motion through the visual fieldReconstruct 3D images from stereo visionDiscover basic and advanced machine learning techniques in OpenCV
But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope.
Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet.
Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype.
But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data.
Each chapter will cover a different technique in aspreadsheet so you can follow along:Mathematical optimization, including non-linear programming andgenetic algorithmsClustering via k-means, spherical k-means, and graphmodularityData mining in graphs, such as outlier detectionSupervised AI through logistic regression, ensemble models, andbag-of-words modelsForecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulationMoving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
This book is ideal for data scientists who are familiar with C++ or Python and perform machine learning activities on a day-to-day basis. Intermediate and advanced machine learning implementers who need a quick guide they can easily navigate will find it useful.What You Will LearnBecome familiar with the basics of the TensorFlow machine learning libraryGet to know Linear Regression techniques with TensorFlowLearn SVMs with hands-on recipesImplement neural networks and improve predictionsApply NLP and sentiment analysis to your dataMaster CNN and RNN through practical recipesTake TensorFlow into productionIn Detail
TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning – each using Google's machine learning library TensorFlow.
This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.
Once you are familiar and comfortable with the TensorFlow ecosystem, the last chapter will show you how to take it to production.Style and approach
This book takes a recipe-based approach where every topic is explicated with the help of a real-world example.
HOW TO WIN BIG AT BACCARAT starts with the basics, breaking down a single hand so that you have a full understanding of every phase of the game. It then goes on to explain how the different bets differ from each other and the relative house edge associated with different options. It tells you which bets are the best default options, which bets can be used under special circumstances to win big, and which sucker bets should be avoided no matter what.
Once you have a firm understanding of how Baccarat is played, HOW TO WIN BIG AT BACCARAT develops a powerful betting strategy that includes card counting techniques, bet sequencing, and precise timing to push the odds in your favor, allowing you to make powerful plays as the game progresses.
Finally, HOW TO WIN BIG AT BACCARAT covers the mental side of Baccarat, teaching you how to develop a calm, disciplined style of play while avoiding the emotional traps that cause players to throw away their hard earned winnings. HOW TO WIN BIG AT BACCARAT also provides in-depth coverage of Punto Banco, Chemin de Fer, Baccarat Banque and the fast-paced variations of the game such as EZ Baccarat Punto 2000. There are even specialized tactics for tournament play so that you can walk into any casino, join any baccarat table, and play to win.
Additional sections on baccarat etiquette and the history of the game also prepare you for the social nuances of the game, so that you can play confidently without ever feeling out of place either at the rough and tumble mini-baccarat tables or past the velvet ropes with tens of thousands of dollars at stake.
Unlike other books on the market, HOW TO WIN BIG AT BACCARAT treats Baccarat as the serious game that it is, and eschews gimmicky tactics that are easy to learn for deep strategies that must be learned and practiced – but which give far better results once they have been mastered. HOW TO WIN BIG AT BACCARAT also provides players with the tools to evaluate new betting strategies and test new ideas rigorously, so that they are always able to distinguish new techniques and developments from complicated schemes with little actual merit.
HOW TO WIN BIG AT BACCARAT a literal master-class on playing Baccarat, and it gives well-sequenced, step-by-step instructions on how to improve your game and learn the various techniques outlined in the book. As your understanding and appreciation of the game develops, players will find themselves returning to HOW TO WIN BIG AT BACCARAT to gain further insight into the principles of the game.
Baccarat is a game of slim margins and careful play, and it takes a clear mind along with the right set of tools if you want to win. Whether you want to play a few hands at the local casino or take on the world famous Tournoi de Chemin de Fer, HOW TO WIN BIG AT BACCARAT will give you all the skills you need to make money playing Baccarat.
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:A thorough introduction to OpenCVGetting input from camerasTransforming imagesSegmenting images and shape matchingPattern recognition, including face detectionTracking and motion in 2 and 3 dimensions3D reconstruction from stereo visionMachine learning algorithms
Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.
Best Android Apps leads you beyond the titles in Android Market's "Top Paid" and "Top Free" bins to showcase apps that will truly delight, empower, and entertain you. The authors have tested and handpicked more than 200 apps and games, each listed with a description and details highlighting the app's valuable tips and special features. Flip through the book to browse their suggestions, or head directly to the category of your choice to find the best apps to use at work, on the town, at play, at home, or on the road.
Discover great Android apps to help you:Juggle tasksConnect with friendsPlay gamesOrganize documentsExplore what's nearbyGet in shapeTravel the worldFind new musicDine outManage your money
...and much more!
Tips and Techniques for Writing
Table of Contents
The Art of Writing
Writing Meaningful Content
The Will to Write
What Is Expected Of A Good Content Writer?
How to Become a Good Content Writer
Comparing Textbroker with Other Content Writing Companies
Non-USA resident – try Odesk
Knowing More about Textbroker
Winning with a Well-Written Test Article
Keeping Yourself Informed
How to Write Quality Articles
Catching The Reader’s Interest
Rereading and proper editing
Do the Math
Check out some of the other JD-Biz Publishing books
This book is going to give you an introduction on how to become a successful article and content writer on Textbroker. Unfortunately, writing for Textbroker is limited only to people based in the USA, due to taxation problems. I was a writer for eight months, there, so when I decided to change locations and careers, I decided to stay on with content writing.
This book is going to give you plenty of helpful tips and techniques, content writing profitably, what your clients are going to expect from you, and other useful information, including writing for websites.
A successful content writer is that responsible person who takes the undertaking of writing a newsletter, article, blog, website content, or develops content, with the specific goal of educating his readers or bloggers. His secondary goal is to drive traffic to the client’s website.
This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures.Build cloud applications with the "rip, mix, and burn" approachGet a crash course on Amazon Web ServicesLearn the top ten tips for surviving outages in the cloudUse elasticsearch to build a dependable NoSQL data storeCombine AWS and PostgreSQL to build an RDBMS that scales wellCreate a highly available document database with MongoDB Replica Set and SimpleDBAugment Redis with AWS to provide backup/restore, failover, and monitoring capabilitiesWork with CloudFront and Route 53 to safeguard global content delivery
Apart from the general track, ICCSA 2013 also include 33 special sessions and workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. There are 46 papers from the general track, and 202 in special sessions and workshops.
Programming Computer Vision with Python explains computer vision in broad terms that won’t bog you down in theory. You get complete code samples with explanations on how to reproduce and build upon each example, along with exercises to help you apply what you’ve learned. This book is ideal for students, researchers, and enthusiasts with basic programming and standard mathematical skills.Learn techniques used in robot navigation, medical image analysis, and other computer vision applicationsWork with image mappings and transforms, such as texture warping and panorama creationCompute 3D reconstructions from several images of the same sceneOrganize images based on similarity or content, using clustering methodsBuild efficient image retrieval techniques to search for images based on visual contentUse algorithms to classify image content and recognize objectsAccess the popular OpenCV library through a Python interface
The 239 revised full papers and 14 short papers presented at 33 workshops were carefully reviewed and selected from 849 submissions. They are organized in five thematical tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies.
Whether you’re using your iPad to surf the Internet, admire or edit family photos, listen to music, watch movies, create or edit movies, or read a book, this book will help guide you. Discover how your iPad can be a virtual shopping mall, opening the door to purchases of music, books, videos, and movies. This book will help you organize your daily life through the use of Calendar, Notes, and Contacts, communicate with friends and colleagues with Mail, and find your way with Maps. You'll also learn how get the most out of your iPad's two cameras, and you'll learn how iCloud keeps all of your documents and photos in sync across all your Apple devices. You'll also learn about great new iOS 5 features like Reminders, Notification Center, iMessage, Newsstand, and PC-Free updates.
Taking Your iPad to the Max, iOS 5 Edition introduces the essentials of using your iPad for recreation, travel, and work—and includes the basics of Apple's iWork suite for iPad. Learn to create business or personal documents with Pages, make professional presentations with Keynote, and keep data and finances under control with Numbers. You'll also learn how to use iLife's suite of apps, including iPhoto, iMovie, and GarageBand on the iPad.
No matter how you use your iPad, Taking Your iPad to the Max, iOS 5 Edition will show you how to make the most of it.
Printing in Plastic is aimed at creative people comfortable using power tools such as a table saw, circular saw, and drill press. Authors James Kelly and Patrick Hood-Daniel lead you through building a personal fabrication machine based upon a set of blueprints downloaded from their website. Example projects get you started in designing and fabricating your own parts. Bring your handyman skills, and apply patience during the build process. You too can be the proud owner of a personal fabricator—a three-dimensional printer.
Leads you through building a personal fabrication machine capable of creating small parts and objects from plastic Provides example projects to get you started on the road to designing and fabricating your own parts Provides an excellent parent/child, or small group project
The 313 full papers and 12 short papers included in the 6-volume proceedings set were carefully reviewed and selected from 1052 submissions. Apart from the general tracks, ICCSA 2017 included 43 international workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as computer graphics and virtual reality. Furthermore, this year ICCSA 2017 hosted the XIV International Workshop On Quantum Reactive Scattering. The program also featured 3 keynote speeches and 4 tutorials.
Imagine a robotic stuffed animal that can read and respond to a child’s emotional state, a commercial that can recognize and change based on a customer’s facial expression, or a company that can actually create feelings as though a person were experiencing them naturally. Heart of the Machine explores the next giant step in the relationship between humans and technology: the ability of computers to recognize, respond to, and even replicate emotions. Computers have long been integral to our lives, and their advances continue at an exponential rate. Many believe that artificial intelligence equal or superior to human intelligence will happen in the not-too-distance future; some even think machine consciousness will follow. Futurist Richard Yonck argues that emotion, the first, most basic, and most natural form of communication, is at the heart of how we will soon work with and use computers.
Instilling emotions into computers is the next leap in our centuries-old obsession with creating machines that replicate humans. But for every benefit this progress may bring to our lives, there is a possible pitfall. Emotion recognition could lead to advanced surveillance, and the same technology that can manipulate our feelings could become a method of mass control. And, as shown in movies like Her and Ex Machina, our society already holds a deep-seated anxiety about what might happen if machines could actually feel and break free from our control. Heart of the Machine is an exploration of the new and inevitable ways in which mankind and technology will interact.