This book develops statistical thinking over rote drill and practice. The Nature of Statistics; Organizing Data; Descriptive Measures; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Menu; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA) For all readers interested in Introductory Statistics.

    Here are all the secrets you need: The reasons for weight gain The things you ll need The meal plans Motivation tips and tricks How to stop the lost weight from returning Dr Dhurandhar s Fat-Loss Diet is for all who don t have the time to go to the gym like Aamir, and for all looking for actual results.

    This book tells you how you can beat health anxiety without resorting to anti-depressants or expensive therapy sessions. This book has been written by someone who suffered from severe health anxiety for 8 years before discovering a way to overcome it completely. The 10 steps in this book will show you how to beat health anxiety and get your life back.

    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 long-awaited revision contains changes throughout the text. There are new implementations of most of the major programming systems in the book, including the interpreters and compilers, and the authors have incorporated many small changes that reflect their experience teaching the course at MIT since the first edition was published. A new theme has been introduced that emphasizes the central role played by different approaches to dealing with time in computational models: objects with state, concurrent programming, functional programming and lazy evaluation, and nondeterministic programming. There are new example sections on higher-order procedures in graphics and on applications of stream processing in numerical programming, and many new exercises. In addition, all the programs have been reworked to run in any Scheme implementation that adheres to the IEEE standard.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    You may find it for free on the web. Purchase of the Kindle edition includes wireless delivery.

    His soothing and smooth vocal tones are legendary. He got his start in the show biz later than most other actors but when he hit it big, he made it count. The star of blockbuster movies such as “The Shawshank Redemption”, “Kiss the Girls”, “Se7en”, and “Driving Miss Daisy” he’s proven himself to be a versatile dramatic actor. Today he is well known for a variety of roles but what do we know of this private man? Take a journey through his life, some of his more famous roles, as well as words of wisdom from the man himself. Lessons can be learned from most everyone’s lives and Morgan Freeman is no different. He is a dignified yet humble actor who found success at the unlikely age of 50 years old. Most actors have peeked by the time they hit his age but Morgan Freeman is still going strong. Want to find out more about this amazing actor’s life? Pick up your copy of this book today! Comments From Other Readers “I really enjoyed reading more about Morgan Freeman. This book was a great introduction to his life. I’ve seen several of his films and I think his voice was the perfect narrator for “March of the Penguins”. It was awesome getting to learn a little bit more about his life!” –Susan (North Carolina, United States) “This is one of the best actors in Hollywood today. This book really gives a great snapshot of his life and I loved the life lessons at the end. I would recommend this book for anyone who wants to learn more about Mr. Freeman other than what tabloids report.” – Curtis (Arizona, United States) Tags: Morgan Freeman, Shawshank, Driving Miss Daisy, Kiss the Girls, movies, Hollywood, actor, actor bio, African American actors, older actors, award winning actors

    Each chapter addresses de-facto standards, popular technologies, and design principles applicable to a wide variety of systems. Complete with chapter summaries, end-of-chapter exercises and bibliographies, Distributed Operating Systems concludes with a set of case studies that provide real-world insights into four distributed operating systems.

    Whether you are a student, software developer, tech entrepreneur, or researcher in computer science, this authoritative and self-contained book tells you everything you need to know about the new global money for the Internet age.How do Bitcoin and its block chain actually work? How secure are your bitcoins? How anonymous are their users? Can cryptocurrencies be regulated? These are some of the many questions this book answers. It begins by tracing the history and development of Bitcoin and cryptocurrencies, and then gives the conceptual and practical foundations you need to engineer secure software that interacts with the Bitcoin network as well as to integrate ideas from Bitcoin into your own projects. Topics include decentralization, mining, the politics of Bitcoin, altcoins and the cryptocurrency ecosystem, the future of Bitcoin, and more.An essential introduction to the new technologies of digital currencyCovers the history and mechanics of Bitcoin and the block chain, security, decentralization, anonymity, politics and regulation, altcoins, and much moreFeatures an accompanying website that includes instructional videos for each chapter, homework problems, programming assignments, and lecture slidesAlso suitable for use with the authors' Coursera online courseElectronic solutions manual (available only to professors)

    Often, a photographer will spend long days capturing photos only to return with a set of images that he or she is not completely satisfied with. Sure, the lighting and exposure may have turned out great, but the overall composition of the photos leaves something to be desired. In short, they lack that “wow” factor that they see in other photographers’ shots.Composition is the foundation in which great photography is built upon. A photo may be properly lit and contain good subject matter, but if it is doesn’t have good composition it will never be considered more than an amateur shot. How can you overcome this? We’ll teach you in this book. Finally, a Book on the Art of Photography that Teaches Tips and Tricks for Creative Composition! Our intention with this book is to teach you the tips and tricks professionals use to craft a great image design and learn how to incorporate these into composition that will lay the foundation for you to create amazing photos. Once you master the art of photography composition, you’ll know exactly what elements it takes to compose a great shot before you even touch the shutter button! As a result, it will free you up to concentrate on the other ingredients that go into making a beautiful photograph.Digital photography composition techniques you'll learn include: - How to develop the ability to see and shoot great digital photographs- Multiple ways in which to compose the best shot, regardless of subject matter- What the rule of thirds is and how to use it to your advantage- Where to place dominant vertical or horizontal subjects within the frame for maximum results- How to effectively use symmetry in photography- Understanding balance and visual weight within a photo- How to use lines in photography- How each type of line (horizontal, vertical, diagonal and curved) can be used to evoke a specific feeling within the viewer- How to instantly make a boring composition more dynamic- Ways in which to use different camera angles to add interest to a photo- How to master Out of Focus Foreground Framing, a signature style of many professional photographers- Unique ways to composing better backgrounds in any situation- How less can actually be more in photography- and much more!If you own a camera you owe it to yourself to learn how to master the art of composition in photography. The lessons taught in this book will provide you with knowledge you can use or the rest of your life as a photographer. Throughout this book you’ll find multiple examples of great photography composition that you can use for inspiration for your own shots. Secure your copy of this book and start your journey to better photography today!

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    In cultivating a deep understanding and appreciation of Objective-C, its frameworks and ecosystem, one is able to create apps that delight and inspire users. Combining articles from NSHipster.com with new essays, this book is the essential guide for modern iOS and Mac OS X developers.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life. In A Mind for Numbers, Dr. Oakley lets us in on the secrets to effectively learning math and science—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn math. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. A Mind for Numbers shows us that we all have what it takes to excel in math, and learning it is not as painful as some might think!