It explores the critical concepts while also examining why they are relevant. The core content is presented within the framework of predicting products, proposing mechanisms, and solving synthesis problems. Readers will fine-tune the key skills involved in solving those types of problems with the help of interactive, step-by-step instructions and problems.

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    It seemed like a lifetime of desire that had only led to friendship…until last night. Now, he had to clear his head. Could he avoid screwing up? Getting past the “friend zone” was one thing, but what he really wanted was love.He told her he had to leave.But he would be back.She seemed pleased at the thought.Mitch left for the airport. He had never been happier. Years of distant longing faded into joy. Nothing could ruin it for him, he thought.He was wrong.Paul carried with him the pain of a single slight in college. It fueled him and the hatred drove his success. Now, a billionaire, he had almost put the memory behind him…until he saw them. In an instant, he had the perfect plan…but how does one become a serial killer and pin it on another?He would need to be careful.It would take planning.Could he ruin Mitch’s life in the most horrible way possible and walk away?

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Don’t panic—slowly remove the shoe from your pup’s mouth and open this book, because it’s time to start successfully training.Puppy Training in 7 Easy Steps is a practical, step-by-step guide to guarantee that your cute and curious friend stays cute. From puppy proofing your home to mastering need-to-know commands, this fool-proof training manual sets you and your canine companion up for a lifetime of positively reinforced obedience and tail-wagging fun!In this dog training book, you’ll find: Puppy Prep—Stock up on all of the supplies you need to start training with helpful checklists and insider tips. Dog Training in 7-Steps—This includes bringing your puppy home, crate training, potty training, preventing food aggression, socializing your puppy, the six key commands, leash walking and coming when called. Troubleshooting Tips—Get quick advice to make sure your dog training goes according to plan, no matter how many squirrels, birds, or other temptations catch your pup’s attention. Sit. Stay. Heel. Fetch. This no-nonsense guide to dog training will teach you and your pup how to do it all in just 7 easy steps.

    

    He includes information on Java Platform Standard Edition 6 (Java SE 6) and offers complete coverage of the Java language, its syntax, keywords, and fundamental programming principles.

    Logan Donovan tracks the spread of chess across history—from India to Persia to Europe and worldwide. You can take your place in a long line of chess masters - even if you’ve never played the game before! Do you want to get started out right? Would you like an advantage over your opponents—from the very first moves? The Complete Guide to Chess - Master: Chess Tactics, Chess Openings and Chess Strategy explains how you can easily memorize popular chess “openings” (the first few turns of a game). If you’re a beginner, you can amaze your friends by learning the tricks and traps of the Grandmasters —and using them on your unsuspecting foes! Ruy Lopez Italian Game Sicilian Defense French Defense Caro-Kann Defense Pirc Defense Queen’s Gambit English Opening Alekhine’s Defense Modern Defense King’s Indian Defense King’s Indian Attack The Dutch Defense and many more! Read this book for FREE on Kindle Unlimited - Download Now! It’s easy to learn the tactics of chess! The Complete Guide to Chess - Master: Chess Tactics, Chess Openings and Chess Strategy explains powerful concepts such as “forks” and “pins” in simple, easy-to-understand language. With the help of this book, you’ll be ready to “turn the tables” on your opponents! Remember - You don't need a Kindle device to read this book. Just download a FREE Kindle reader for your computer, tablet, or smartphone! You'll also learn key principles of chess strategy, such as: King Safety Center Control Pawn Structure Piece Quality and When to Play for a Draw! You’ll even find out how to “Seal the Deal” with Logan Donovan’s 14 Tips for the End Game! Don’t keep losing games through trial and error—get the tips and strategies you need to WIN! FREE BONUS AT THE END OF THE BOOK! GET IT TODAY AS IT’S ONLY AVAILABLE FOR A LIMITED TIME! Download The Complete Guide to Chess - Master: Chess Tactics, Chess Openings and Chess Strategy TODAY—you’ll get everything you need to start winning a LOT more games!&

    

    In eight chapters, it provides the most thorough coverage of TCP available. It also covers the newest TCP/IP features, including multicasting, path MTU discovery and long fat pipes. The author describes various protocols, including ARP, ICMP and UDP. He utilizes network diagnostic tools to actually show the protocols in action. He also explains how to avoid silly window syndrome (SWS) by using numerous helpful diagrams. This book gives you a broader understanding of concepts like connection establishment, timeout, retransmission and fragmentation. It is ideal for anyone wanting to gain a greater understanding of how the TCP/IP protocols work.

    And then we wonder why software is notorious for being delivered late and full of bugs, while other engineers routinely deliver finished bridges, automobiles, electrical appliances, etc., on time and with only minor defects. This book sets out to redress this imbalance. Members of my advanced development team at Adobe who took the course based on the same material all benefited greatly from the time invested. It may appear as a highly technical text intended only for computer scientists, but it should be required reading for all practicing software engineers." --Martin Newell, Adobe Fellow"The book contains some of the most beautiful code I have ever seen." --Bjarne Stroustrup, Designer of C++"I am happy to see the content of Alex's course, the development and teaching of which I strongly supported as the CTO of Silicon Graphics, now available to all programmers in this elegant little book." --Forest Baskett, General Partner, New Enterprise Associates"Paul's patience and architectural experience helped to organize Alex's mathematical approach into a tightly-structured edifice--an impressive feat!" --Robert W. Taylor, Founder of Xerox PARC CSL and DEC Systems Research Center Elements of Programming provides a different understanding of programming than is presented elsewhere. Its major premise is that practical programming, like other areas of science and engineering, must be based on a solid mathematical foundation. The book shows that algorithms implemented in a real programming language, such as C++, can operate in the most general mathematical setting. For example, the fast exponentiation algorithm is defined to work with any associative operation. Using abstract algorithms leads to efficient, reliable, secure, and economical software.This is not an easy book. Nor is it a compilation of tips and tricks for incremental improvements in your programming skills. The book's value is more fundamental and, ultimately, more critical for insight into programming. To benefit fully, you will need to work through it from beginning to end, reading the code, proving the lemmas, and doing the exercises. When finished, you will see how the application of the deductive method to your programs assures that your system's software components will work together and behave as they must.The book presents a number of algorithms and requirements for types on which they are defined. The code for these descriptions--also available on the Web--is written in a small subset of C++ meant to be accessible to any experienced programmer. This subset is defined in a special language appendix coauthored by Sean Parent and Bjarne Stroustrup.Whether you are a software developer, or any other professional for whom programming is an important activity, or a committed student, you will come to understand what the book's experienced authors have been teaching and demonstrating for years--that mathematics is good for programming, and that theory is good for practice.

    Whether working with executives from Fortune 500 firms or readying the nation’s top attorneys to choose the ideal juries for their clients, Patrician McCarthy has built a reputation for her ability to help others determine a person’s personality, potential, and inherent talents by analyzing his or her facial structure and features. Now McCarthy shares her understanding of this ancient knowledge with readers everywhere.Literally meaning face (mien) reading (shiang), mien shiang is a powerful means of both self-discovery and a way to understand others. Taoist ancients said, “the face is a mirror that records your past, reflects your present, and forecasts your future.” McCarthy introduces five essential influences in our lives revealed by the face and enables you to interpret and understand these influences. With the practice of Mien Shiang, you will live in a harmony of mind, body, and spirit.

    Vaughn Vernon couples guided approaches to implementation with modern architectures, highlighting the importance and value of focusing on the business domain while balancing technical considerations.Building on Eric Evans’ seminal book, Domain-Driven Design, the author presents practical DDD techniques through examples from familiar domains. Each principle is backed up by realistic Java examples–all applicable to C# developers–and all content is tied together by a single case study: the delivery of a large-scale Scrum-based SaaS system for a multitenant environment.The author takes you far beyond “DDD-lite” approaches that embrace DDD solely as a technical toolset, and shows you how to fully leverage DDD’s “strategic design patterns” using Bounded Context, Context Maps, and the Ubiquitous Language. Using these techniques and examples, you can reduce time to market and improve quality, as you build software that is more flexible, more scalable, and more tightly aligned to business goals.

    Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.