You'll move on from there, mastering all the iPhone interface elements that you've come to know and love, such as buttons, switches, pickers, toolbars, sliders, etc.You'll master a variety of design patterns, from the simplest single view to complex hierarchical drill-downs. You'll master the art of table-building and learn how to save your data using the iPhone file system. You'll also learn how to save and retrieve your data using SQLite, iPhone's built-in database management system.You'll learn how to draw using Quartz 2D and OpenGL ES. You'll add multi-touch gesture support (pinches and swipes) to your applications, and work with the Camera, photo library, and Accelerometer. You'll master application preferences, learn how to localize your apps into other languages, and so much more.Apple's iPhone SDK, this book, and your imagination are all you'll need to start building your very own best-selling iPhone applications.

    Now that machine learning is thriving, 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 how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    

    This text has been tailored to meet the needs of the beginning Java programmer, with hands-on coverage, step-by-step instructions and tutorials.

     This book gives the simplest exercises on the market to open your hips with effective correctives you can do anywhere. This program was designed to not only be convenient, but also comprehensive. It breaks down an easy set of progressions and goals to get the muscles on your pelvis, lower back, and hips/upper legs to function. Doing these exercises will: -restore balance to your body -instantly improve your posture and hip mobility -strengthen your hips in addition to opening them leaving you feeling "tied together" and fantastic.

    "Uncle Bob" Martin shows how to bring greater professionalism and discipline to application architecture and design.As with his other books, Martin's Clean Architecture doesn't merely present multiple choices and options, and say "use your best judgment": it tells you what choices to make, and why those choices are critical to your success. Martin offers direct, no-nonsense answers to key architecture and design questions like:What are the best high level structures for different kinds of applications, including web, database, thick-client, console, and embedded apps?What are the core principles of software architecture?What is the role of the architect, and what is he/she really trying to achieve?What are the core principles of software design?How do designs and architectures go wrong, and what can you do about it?What are the disciplines and practices of professional architects and designers?Clean Architecture is essential reading for every software architect, systems analyst, system designer, and software manager — and for any programmer who aspires to these roles or is impacted by their work.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    The 1980s were certainly loud, often garish and utterly fabulous - no matter how embarrassing the outfits were.There are so many elements, which made the 80s a truly great decade, but one of the greatest contributions, if not the greatest, is the mass introduction of affordable 8-bit home micro computers.These curious machines of geekdom changed the way we regarded computers and technology. No longer were they the sole perverse of tweed jacket clad scientists sporting unruly beards, micro computers were now forming a staple inventory in millions of homes.Much of the technology that we enjoy today, such as desktop computers, notebooks, tablets, gaming consoles and smart phones, all of which are often taken for granted, can be traced back to this innovative decade.If you were a child of the 80s and remember the joy of receiving your very first home computer or maybe a young adult who fondly remembers the excitement, then you will appreciate this unabashed reminiscence of a simpler time whose adolescent technological was on the cusp of great advancements.This book is intended as celebration and reflection of all the computer technology that made the 80s such a wonderful, pioneering period and follows the journey of a self confessed, teenaged computer geek who experienced and enjoyed every ground breaking moment, including publishing his own software.10 Print “The 80s are fab!”20 Goto 10RunAuthor's Comments:The current edition is dated 31st January 2016 and has been edited based on customer feedback.

    This will let children know that there is a world out there they do not even know about. This will also make children wonder what goes on in these strange places. Some children will even develop the goal to visit some of these places when they get older. Most children do not know that there are strange places all over the earth.

    Millions of people suffer from a shopping addiction and throw away their personal and professional success because of these issues. Most people realize how much of a problem this is, but are unable to change their situation, simply because it's been apart of their mindset for so long. The truth is, if you are suffering from limitations because of your shopping addiction and haven't been able to change, it's because you are lacking an effective strategy and understanding of where your addiction is coming from and why it is so hard to stop. This book goes into where shopping addictions originate, signs and symptoms of a compulsive shopper, and a step-by-step strategy that will help you free yourself from your addiction and help you take control of your life. Here Is A Preview Of What You'll Learn... Understanding Shopping Addiction Negative Effects of A Shopping Addiction The Signs And Symptoms Of An Addiction How To Overcome The Addiction Once And For All Take action right away to overcome your shopping addiction by downloading this book, "Shopping Addiction: The Ultimate Guide for How To Overcome Compulsive Buying And Spending", for a limited time discount! Download today!

    is an American Board of Emergency Medicine certified ED doctor. His journey began in the mid-1970s, when he chose to pursue a career in medicine. In his youthful perspective, he came to regard doctors as the good guys, the ones who healed people and saved lives. He knew he’d be one of those good guys one day. Now, with a career spanning more than thirty years, he works as an emergency-room physician in North Carolina. In A License to Heal: Random Memories of an ER Doctor, Bentley describes the real world of emergency medicine from the viewpoint of a practicing physician. This memoir is filled with real-life stories of the ER, including life and death, triumph and tragedy. Meet a man named Solomon Darby, who spoke to long-dead relatives during his own near-death experience. Bentley also recalls the heartbreaking story of a young widow who desperately needed to understand and cope with the death of her husband. Amid the grief, there are also episodes of great humor and human comedy. In the dynamic world of emergency medicine, there is a great deal of pain, blood, and tragedy, but there is also hope, compassion, and excitement—for both the patients and the staff."

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    What makes an operating system modern? According to author Andrew Tanenbaum, it is the awareness of high-demand computer applications--primarily in the areas of multimedia, parallel and distributed computing, and security. The development of faster and more advanced hardware has driven progress in software, including enhancements to the operating system. It is one thing to run an old operating system on current hardware, and another to effectively leverage current hardware to best serve modern software applications. If you don't believe it, install Windows 3.0 on a modern PC and try surfing the Internet or burning a CD. Readers familiar with Tanenbaum's previous text, Operating Systems, know the author is a great proponent of simple design and hands-on experimentation. His earlier book came bundled with the source code for an operating system called Minux, a simple variant of Unix and the platform used by Linus Torvalds to develop Linux. Although this book does not come with any source code, he illustrates many of his points with code fragments (C, usually with Unix system calls). The first half of Modern Operating Systems focuses on traditional operating systems concepts: processes, deadlocks, memory management, I/O, and file systems. There is nothing groundbreaking in these early chapters, but all topics are well covered, each including sections on current research and a set of student problems. It is enlightening to read Tanenbaum's explanations of the design decisions made by past operating systems gurus, including his view that additional research on the problem of deadlocks is impractical except for "keeping otherwise unemployed graph theorists off the streets." It is the second half of the book that differentiates itself from older operating systems texts. Here, each chapter describes an element of what constitutes a modern operating system--awareness of multimedia applications, multiple processors, computer networks, and a high level of security. The chapter on multimedia functionality focuses on such features as handling massive files and providing video-on-demand. Included in the discussion on multiprocessor platforms are clustered computers and distributed computing. Finally, the importance of security is discussed--a lively enumeration of the scores of ways operating systems can be vulnerable to attack, from password security to computer viruses and Internet worms. Included at the end of the book are case studies of two popular operating systems: Unix/Linux and Windows 2000. There is a bias toward the Unix/Linux approach, not surprising given the author's experience and academic bent, but this bias does not detract from Tanenbaum's analysis. Both operating systems are dissected, describing how each implements processes, file systems, memory management, and other operating system fundamentals. Tanenbaum's mantra is simple, accessible operating system design. Given that modern operating systems have extensive features, he is forced to reconcile physical size with simplicity. Toward this end, he makes frequent references to the Frederick Brooks classic The Mythical Man-Month for wisdom on managing large, complex software development projects. He finds both Windows 2000 and Unix/Linux guilty of being too complicated--with a particular skewering of Windows 2000 and its "mammoth Win32 API." A primary culprit is the attempt to make operating systems more "user-friendly," which Tanenbaum views as an excuse for bloated code. The solution is to have smart people, the smallest possible team, and well-defined interactions between various operating systems components. Future operating system design will benefit if the advice in this book is taken to heart. --Pete Ostenson

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    Harper focuses on nutrient-dense foods that are big in flavor and allow certain kinds of carbohydrates at targeted times during the day.In The Super Carb Diet you'll find: - How to eat carbs earlier in the day for sustained energy- A list of super-carb foods- Limited snacks but larger and more varied meals- A way of eating that's sustainable- Super-charged weight lossThe Super Carb Diet will keep millions of dieters from giving up after Week One. The program leads you through precise plate proportions, balancing good protein, low fat, high fiber, and nutrient density. Not only will you lose significant weight and whittle your waistline, you'll walk away from the table feeling happy and full.