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

    Writing code that handles unexpected errors and still works is really hard. Most of us learn by trial and error. This short book removes the uncertainty. With over 100 pages of content and dozens of working examples, you’ll learn everything from the mechanics of how exceptions work to how to design a robust failure management architecture for your app or library. Whether you are a Ruby novice or a seasoned veteran, Exceptional Ruby will help you write cleaner, more resilient Ruby code.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    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)

    Packed full of fabulous tips and glamorous tricks, from performing the perfect pedicure and creating your own costume jewellery to hosting a spa-style party, 'The Glamorous Girls' Book' will help girls stand out from the crowd.

    You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.To get you started--whether you're on Windows, OS X, or Linux--author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on plain text, CSV, HTML/XML, and JSONExplore data, compute descriptive statistics, and create visualizationsManage your data science workflow using DrakeCreate reusable tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelines using GNU ParallelModel data with dimensionality reduction, clustering, regression, and classification algorithms

    Dick AwardSamuil Petrovitch is a survivor.He survived the nuclear fallout in St. Petersburg and hid in the London Metrozone – the last city in England. He’s lived this long because he’s a man of rules and logic.For example, getting involved = a bad idea.But when he stumbles into a kidnapping in progress, he acts without even thinking. Before he can stop himself, he’s saved the daughter of the most dangerous man in London.And clearly saving the girl = getting involved.Now, the equation of Petrovitch’s life is looking increasingly complex.Russian mobsters + Yakuza + something called the New Machine Jihad = one dead Petrovitch.But Petrovitch has a plan – he always has a plan – he’s just not sure it’s a good one.

    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

    The new edition continues with the tradition of providing instructors and students with a comprehensive and up-to-date resource for teaching and learning engineering mathematics, that is, applied mathematics for engineers and physicists, mathematicians and computer scientists, as well as members of other disciplines.

    This book provides a clear and comprehensive introduction to the application of electronic control systems in mechanical and electrical engineering. It gives a framework of knowledge that allows engineers and technicians to develop an interdisciplinary understanding and integrated approach to engineering.

    But what happensif they decide to get… even closer?

    

    To obtain more, it takes dedication and an unwavering determination to succeed. Solomon Frank is the poster child for making that happen. Rising from the hood of Inglewood, California, his dreams of becoming an A-list actor takes a work ethic and sacrifice that many people don’t have within them. Even amongst the ill wishes and lack of support from the people he loves and that mean the most to him, Solomon finds his way.Making it in the industry is tough but with hard work, he makes it, taking acting jobs just to make a name for himself. However, it pays off. He is able to be selective, where he can now demand what he wants and gets it. He develops a reputation as being a great actor, but also an uncouth jerk and he embraces it. There’s only one issue. He’s never been in love and it’s something he craves. But unlike his determination with obtaining honor in his career choice, he doesn’t have the same gusto when it comes to love. So, instead of looking for it, it’s dropped in his lap in the form of his new personal assistant, Divine Stewart.He is smitten from first sight, but he tries to remain professional and tough as nails, as his reputation indicates. She’s thirteen years his junior but something about her is calling out to him. The fight to maintain that professional relationship is more difficult than he anticipated, and Solomon finds himself at a crossroads. Will he blur the lines of personalism and professionalism in regard to how he really feels for Divine? Can he ease the reigns to develop something more with her without tarnishing his reputation in Hollywood? Or will he continue to suffer in silence, longing for the one thing in life he hasn’t obtained?

    Offering numerous examples and a step-by-step approach, it covers both the Assembly and C programming languages and devotes separate chapters to interfacing with peripherals such as Timers, LCD, Serial Ports, Interrupts, Motors and more. A unique chapter on hardware design of the PIC system and the PIC trainer round out coverage. Systematic coverage of the PIC18 family of Microcontrollers. Assembly language and C language programming and interfacing techniques. Thorough coverage of Architectures and Assembly language programming of the PIC18. Thorough coverage of C language programming of the PIC18. Separate chapters on programming and interfacing the PIC with peripherals - Includes information on how to interface the PIC with LCD, keyboard, ADC, DAC, Sensors, Serial Ports, Timers, DC and Stepper Motors, Optoisolators, and RTC. Covers how to program each peripheral, first using the Assembly language and then using the C language. Those involved with PIC programming and interfacing using Assembly and C languages."

    An authoritative introduction to "fuzzy logic" brings readers up to speed on the "smart" products and computers that will change all of our lives in the future.