But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your work

    D.S. Malik is ideal for a one-semester course focused on data structures. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in C++ such as Linked Lists and the Standard Template Library (STL). This student-friendly text features abundant Programming Examples and extensive use of visual diagrams to reinforce difficult topics. Students will find Dr. Malik's use of complete programming code and clear display of syntax, explanation, and example easy to read and conducive to learning.

    Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found refreshing. The goal of the book is to provide a firm understanding of the principles and the big picture of where computer theory fits into the field.

    It's certainly no walk in the park. And, depending on where you've been for your information when it comes to SEO, it might be outdated, or just flat-out wrong. Why is that? Search has been evolving at an uncanny rate in recent years. And, if you're not in the know, then you could end up spinning your wheels and wasting valuable and precious time and resources on techniques that no longer work. The main reason for the recent changes: to increase relevancy. Google's sole mission is to provide the most relevant search results at the top of its searches, in the quickest manner possible. But, in recent years, due to some mischievous behavior at the hand of a small group of people, relevancy began to wane. SEO 2016 :: Understanding Google's Algorithm Adjustments The field of SEO has been changing, all led by Google's onslaught of algorithm adjustments that have decimated and razed some sites while uplifting and building others. Since 2011, Google has made it its mission to hunt out and demote spammy sites that sacrifice user-experience, focus on thin content, or simply spend their time trying to trick and deceive their way to the top of its search results. At the same time, Google has increased its reliance on four major components of trust, that work at the heart of its search algorithm: Trust in Age Trust in Authority Trust in Content Relevancy In this book, you'll learn just how each of these affects Google's search results, and just how you can best optimize your site and content to ensure that you're playing by Google's many rules. And, although there have been many algorithm adjustments over the years, four major ones have shaped and forever changed the search engine landscape: Google Panda Google Penguin Google Hummingbird Google Mobilegeddon We'll discuss the nature of these changes and just how each of these algorithm adjustments have shaped the current landscape in search engine optimization. So what does it take to rank your site today? In order to compete at any level in SEO, you have to earn trust - Google's trust that is. But, what does that take? How can we build trust quickly without jumping through all the hoops? SEO is by no means a small feat. It takes hard work applied consistently overtime. There are no overnight success stories when it comes to SEO. But there are certainly ways to navigate the stormy online waters of Google's highly competitive search. Download SEO 2016 :: Learn Search Engine Optimization Lift the veil on Google's complex search algorithm, and understand just what it takes to rank on Google searches today, not yesterday.

    Many Python developers are now taking an interest in high-level software architecture patterns such as hexagonal/clean architecture, event-driven architecture, and strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward.With this practical guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity. Each pattern is illustrated with concrete examples in idiomatic Python that explain how to avoid some of the unnecessary verbosity of Java and C# syntax. You'll learn how to implement each of these patterns in a Pythonic way.Architectural design patterns include:Dependency inversion, and its links to ports and adapters (hexagonal/clean architecture)Domain-driven design's distinction between entities, value objects, and aggregatesRepository and Unit of Work patterns for persistent storageEvents, commands, and the message busCommand Query Responsibility Segregation (CQRS)Event-driven architecture and reactive microservices

    Beginning with an introduction to array formulas, this manual examines topics such as how they differ from ordinary formulas, the benefits and drawbacks of their use, functions that can and cannot handle array calculations, and array constants and functions. Among the practical applications surveyed include how to extract data from tables and unique lists, how to get results that match any criteria, and how to utilize various methods for unique counts. This book contains 529 screen shots.

    As you read through the job description, your excitement builds as you realize that the job is a perfect fit! Not wasting another second, you fill out the application, attach your resume, and hold your breath as you hit “Apply.” Then you wait. And wait. And wait some more. Weeks go by without hearing so much as a peep, and before long you’ve given up hope on what seemed like a match made in heaven. Sound familiar? You’re not alone! On average there are 250 resumes submitted for every job opening, which means that 99.6% of applicants will fail to land the jobs they apply for. To get the job you want, you don’t just need a great resume--you need an outstanding resume, one that puts you in the top 1% of candidates for the job. That means ditching the same old advice you’ve been following with little results and adopting a tried-and-true process for getting your resume noticed in even the most competitive situations. In this book, Dan Clay breaks down the exact method he’s carefully developed over a period of ten years and provides a precise, step-by-step set of instructions for crafting the perfect resume, down to the last period. Unlike the dime-a-dozen recruiters turned career coaches who have never had to put themselves on the line in today’s brutally competitive job market, Dan offers practical, real-world experience gained from applying for and getting job offers from some of the most prestigious, competitive companies in the world. And when it comes to something as important as your career, don’t you deserve to learn from someone who’s actually succeeded at doing what you’re hoping to do? Of course you do! Here are some of the things you’ll learn about how to transform your resume from average to awe-inspiring: How to handle tricky pitfalls like extended time off or unemployment and have your resume come out as strong as ever How to make your accomplishments sound dramatically more impressive without having to tell a single lie How to remove the guesswork about what to include in your resume and build it to the exacting specifications of your target job's requirements How to pass the four tests that companies will put your resume through with flying colors How to strike the perfect composition of content, white space, and page length to accentuate and differentiate your strengths How to avoid the common (and not so common) resume mistakes that leave your resume dead on arrival How to tell a powerful story that demonstrates your capabilities in a way that will knock the socks off anyone reading it How to stand out without resorting to cheap tricks that come off as cheesy or over-the-top PLUS, you’ll also gain access to a free companion website containing fully editable resume templates, a perfect resume checklist, and other bonus materials to give you everything you need to create a stunning resume that will get you noticed and land you interviews. Whether you’re a new graduate looking for your first job, a career veteran angling for your next move, a recent victim of a layoff, or someone looking to dip their toes back int

    Loosely based on neuron behavior inside of human brains, these systems are rapidly catching up with the intelligence of their human creators, defeating the world champion Go player, achieving superhuman performance on video games, driving cars, translating languages, and sometimes even helping law enforcement fight crime. Deep Learning is a revolution that is changing every industry across the globe.Grokking Deep Learning is the perfect place to begin your deep learning journey. Rather than just learn the “black box” API of some library or framework, you will actually understand how to build these algorithms completely from scratch. You will understand how Deep Learning is able to learn at levels greater than humans. You will be able to understand the “brain” behind state-of-the-art Artificial Intelligence. Furthermore, unlike other courses that assume advanced knowledge of Calculus and leverage complex mathematical notation, if you’re a Python hacker who passed high-school algebra, you’re ready to go. And at the end, you’ll even build an A.I. that will learn to defeat you in a classic Atari game.

    Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.

    Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter

    The book will teach you about:* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data* Deep learning, a powerful set of techniques for learning in neural networksNeural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning.

    The language concepts are aptly explained in simple and easy-to-understand style, supported with examples, illustrations and programming and debugging exercises.

    

    GRAPH THEORY WITH APPLICATIONS TO ENGINEERING AND COMPUTER SCIENCE-PHI-DEO, NARSINGH-1979-EDN-1