Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge.Like the first edition, voted the most popular data mining book by KD Nuggets readers, this book explores concepts and techniques for the discovery of patterns hidden in large data sets, focusing on issues relating to their feasibility, usefulness, effectiveness, and scalability. However, since the publication of the first edition, great progress has been made in the development of new data mining methods, systems, and applications. This new edition substantially enhances the first edition, and new chapters have been added to address recent developments on mining complex types of data- including stream data, sequence data, graph structured data, social network data, and multi-relational data.A comprehensive, practical look at the concepts and techniques you need to know to get the most out of real business dataUpdates that incorporate input from readers, changes in the field, and more material on statistics and machine learningDozens of algorithms and implementation examples, all in easily understood pseudo-code and suitable for use in real-world, large-scale data mining projectsComplete classroom support for instructors at www.mkp.com/datamining2e companion site

    They teach you how to make games. This book does not show you how to make games. It shows you how to take your game project to the finish line. Many game projects never make it beyond the alpha state.Game Development Success Is All About The Inner Game.Being a successful game developer does not (just) mean being a great programmer, a smart game designer or a gifted artist. It means dominating the inner game of game making. This separates the pros from the wannabes. It's the knowledge of how to stay focused, motivated and efficient during your game projects. It's the skillset of keeping things simple and avoiding misleading dreams of the next overnight success. Finally it's about thinking as a salesperson, not just as a designer, programmer or artist.

    “This is Steve Jobs. I saw your picture in a magazine a few years ago and thought we’d work together someday.” After Steve Jobs was unceremoniously dismissed from Apple, he bought a little-known graphics company called Pixar. One day, out of the blue, Jobs called Lawrence Levy, a Harvard-trained lawyer and executive to whom he had never spoken before, to persuade Levy to help him get Pixar off the ground. What Levy found was a company on the verge of failure. To Pixar and Beyond is the story of what happened next: how, working closely with Jobs, Levy produced and implemented a highly improbable plan that transformed Pixar into one of Hollywood’s greatest success stories. Set in the worlds of Silicon Valley and Hollywood, the book takes readers inside Pixar, Disney, law firms, and investment banks. It provides an up-close, firsthand account of Pixar’s ascent, how it made creative choices, Levy’s enduring collaboration and friendship with Jobs, and how Levy came to see in Pixar deeper lessons that can apply to many aspects of our lives.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

    Harvard Professor Lawrence Lessig warns that, if we're not careful we'll wake up one day to discover that the character of cyberspace has changed from under us. Cyberspace will no longer be a world of relative freedom; instead it will be a world of perfect control where our identities, actions, and desires are monitored, tracked, and analyzed for the latest market research report. Commercial forces will dictate the change, and architecture—the very structure of cyberspace itself—will dictate the form our interactions can and cannot take. Code And Other Laws of Cyberspace is an exciting examination of how the core values of cyberspace as we know it—intellectual property, free speech, and privacy-—are being threatened and what we can do to protect them. Lessig shows how code—the architecture and law of cyberspace—can make a domain, site, or network free or restrictive; how technological architectures influence people's behavior and the values they adopt; and how changes in code can have damaging consequences for individual freedoms. Code is not just for lawyers and policymakers; it is a must-read for everyone concerned with survival of democratic values in the Information Age.

    Finding a balance between sharing yoga with the world and running an ethical business can be challenging. The Yogi Entrepreneur is the definitive manual on starting and growing a yoga business. Whether you are an established teacher, looking to expand your student base, a new teacher fresh out of yoga teacher training, or you are simply considering signing up for your first yoga certification course—this book is for you.The Yogi Entrepreneur offers chapters on becoming a yoga teacher, marketing and branding, ethics, leading retreats and workshops, developing a Wordpress website, managing social media like Twitter and Facebook, and many other important skills for success as a teacher or yoga studio owner. With scores of resources, low-cost marketing tips, and time-saving tools, this book is a yoga teachers toolbox.The Yogi Entrepreneur has been used in hundreds of teacher training programs around the world and has helped thousands of yoga teachers to find their audience, define their brand, and share their unique approach to yoga more effectively. Whether your teaching is rooted in more traditional styles of yoga like Iyengar, Kripalu and Integral, or in more contemporary disciplines such as Forrest, Bikram, Baptiste and Anusara yoga, the simple and straightforward tools outlined in these pages will help you to reach your true potential as a yoga teacher.If you are ready to jumpstart your yoga and meditation business then look no further!__________Darren Main has written another exceptionally practical book for yogis, this one a gem that every yoga teacher should have at his or her fingertips in opening to make a livelihood. —Mark Stephens,
 Author of Teaching YogaWhen I read Yogi Entrepreneur, I was struck not only by Darren Main’s thoughtfulness about the topic and his experience in the field, but also by the personal and very real way he conveyed his information. It was more like having a very useful and interesting conversation with a wise and funny friend rather than reading a “how to” book. —Judith Hanson Lasater, Phd., PT,

 Author of Yoga Body, What We Say Matters and 30 Essential Yoga PosesFor the yoga teacher looking to make a career of doing what they love, Darren Main’s book, The Yogi Entrepreneur, is invaluable. We will highly recommend it to our teachers and those in our Teacher Training programs. 
—Trevor Tice

, Founder CorePower YogaFinally, a much needed book on the business art of yoga. Many of us have the skills and wisdom of yoga to proficiently reach out to people as teachers. Managing the business end of yoga is our downfall. Highly skilled and extraordinary yoga teachers whose careers are shining successes ultimately fail due lack of business skills. This book is a powerful guide to facilitate what teachers are qualified to offer and at the same time make a successful living for themselves. —Yogi Amrit Desai

, Founder of Kripalu Yoga and author of Amrit Yoga

Darren Main has done it again with the Yogi Entrepreneur. His in depth analysis and advice offers unique insight that you won't find in yoga manuals. This masterful book, like his second book Yoga and the Path of the Urban Mystic should be required reading in all teacher training courses. —Darren Littlejohn, 

Author of the 12-Step Buddhist
 
www.the12stepbuddhist.comDarren Main has created an incredibly clear road map on how to build your career as a professional yoga teacher! The Yogi Entrepreneur is an exceptional resource for new and seasoned teachers alike. We recommend this book to all of our Teacher Training graduates. —Rasha Pensanti Shakeri Director, YogaWorks Teacher Training

    Due to contractual restrictions, we reserve the right not to supply certain territories. Table of Contents Foreword Preface General Introduction Market Milk Special Milks Cream Butter Butteroil Ice Cream Cheese Condensed Milks Dried Milks Dried Milk Products Indian Dairy Products By-Products Appendices Index

    Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

    KEY TOPICS Topical selection is based on the significance of each topic in modern industrial applications and the impact that each topic is likely to have in emerging technologies. Integrated circuit theory is covered extensively, including coverage of analog and digital integrated circuit design, operational amplifier theory and applications, and specialized electronic devices and circuits such as switching regulators and optoelectronics. For electronic engineers and technologists.

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

     Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

    The innate desire is driven by our deep and underlying need to find better ways for us to achieve our own goals, understand our own dreams, and rise to our unique challenges. This book is about the underlying events in the life of Jeff Bezos and the ways in which it influenced his life, the way he responded to them, and in the way he used them to his advantage. The book doesn’t claim to know the fibers that made the content of his heart - no man can know that. But what it does is string together multiple events and sees the shadows that it casts. All that so that you can find the elements inside you that could be the seed of success, achievement and greatness. The story of Bezos traces a path through his life as a youth and looks at his action and his achievements and deciphers the existence of his greatest achievement – Amazon - in a way that is reflective of his character, his intellect and his upbringing. His story is unlike any of the other successful people in history. His brand of work ethic is familiar but different. What is it about him that makes him a super achiever? What about him makes him drive hard towards his goals? What about him can turn an idea into a startling success? What about him is like you and what isn’t? What can you learn from him? Read, and find out.

    Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.