With expectations at an all-time high, his players have lost their will to win and their passion for the game; none of Coach Rocker’s tried and true motivational methods are working, and he doesn’t know why.As the season continues to spiral downward and his home life begins to mirror the problems he’s facing on the court, Coach Rocker stumbles upon a most unlikely mentor— Joe Taylor, the school’s janitor, who seems to have the answers to all of the Coach’s problems.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    By scale, we mean having numbers of users in the millions and being built by large engineering teams.For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering.

    As huge as the Pantheon of Rome and as heavy as the Statue of Liberty, this magnificent instrument is so precisely built that its seventeen-foot mirror was hand-polished to a tolerance of 2/1,000,000 of an inch. The telescope's construction drove some to the brink of madness, made others fearful that mortals might glimpse heaven, and transfixed an entire nation. Ronald Florence weaves into his account of the creation of "the perfect machine" a stirring chronicle of the birth of Big Science and a poignant rendering of an America mired in the depression yet reaching for the stars.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    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.

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    It has made countless new businesses possible and presents a massive opportunity for large enterprises to innovate like startups and retire decades of technical debt. But making the most of the cloud requires much more from enterprises than just a technology change. Stephen Orban led Dow Jones’s journey toward digital agility as their CIO and now leads AWS’s Enterprise Strategy function, where he helps leaders from the largest companies in the world transform their businesses. As he demonstrates in this book, enterprises must re-train their people, evolve their processes, and transform their cultures as they move to the cloud. By bringing together his experiences and those of a number of business leaders, Orban shines a light on what works, what doesn’t, and how enterprises can transform themselves using the cloud.

    The RESTful approach to web services design is rapidly become the approach of choice. Unfortunately, too few people have truly solid REST API design skills, and discussions of REST can become bogged down in dry theory.The REST API Design Handbook is a simple, practical guide to aid software engineers and software architects create lasting, scalable APIs based on REST architectural principles. The book provides a sound foundation in discussing the constraints that define a REST API. It quickly goes beyond that into the practical aspects of implementing such an API in the real world.Written by cloud computing expert George Reese, The REST API Design Handbook reflects hands on work in consuming many different third party APIs as well the development of REST-based web services APIs. It addresses all of the debates the commonly arise while creating these APIs. Subjects covered include:* REST architectural constraints* Using HTTP methods and response codes in an API* Authenticating RESTful API calls* Versioning* Asynchronous Operations* Pagination and Streaming* Polling and Push Notifications* Rate Limiting

     If you don't know what "SEO" stands for or what a "backlink" is, this book will get you up to speed in a quick 1 hour read and show you some basic steps to optimize your site and blog posts. There are no advanced ninja tricks here, but simply the meat and potato basics of what SEO is and how you can best use it without spending a fortune Have you ever wondered how websites end up on page 1 in Google - and…. why your site isn’t there? Does it just “happen”? Is it luck? Do you need to know someone at Google? Or…… are there actual techniques that can help you get to #1? The good news is: there are! The Art of Ranking in Google is called SEO and people who do it well, make a LOT of money! Why? Because the higher you rank, the more people will visit your site = potential customers -> the more money you can make. SEO is a form of internet marketing, just like Google or Facebook Ads, yet a lot more effective and stable once set up - and in the long run, far less expensive! For blogging purposes, SEO is next to Kindle Publishing the most effective strategy to grow an audience long term - and also, to market affiliate products (=monetize your site). And you need to start from Day 1. - This is the one technique you cannot put off for later! This book will take you as a complete novice and take you step by step through: What SEO is all about? The main techniques and strategies to start ranking in Google and how even as a total beginner you can start employing them from day 1. The pitfalls and dangers along the way (Google Penalties) How to structure your Posts for optimal ranking chances How to structure your overall Site for optimal Google recognition Basic - but effective Backlinking strategies Social Media Implementation Most of all - this book will help you understand what it’s really all about and why it is so important to employ SEO techniques from day 1! This is the one technique you cannot put off till later and while you might feel overwhelmed in the beginning with all the new things to learn, this book will make it painless and easy to get started with minimal time input. Go back to the TOP to purchase - see your there….;-

    So begins the story of Sonia MacTaggert. An engineer by education with dreams of actually earning a living as one, she is stuck in a dead-end maintenance job servicing the engines of starships that put into port at Tammuz. When she finally lands an engineering position on the starship Night Searcher, she finds herself thrust into the unfamiliar world of interstellar exploration on a ship with a classified mission. Has her quest for a new life and career gotten Sonia more than she bargained for? The voyage of the Night Searcher tests not only the technical savvy of the fledgling engineer, but her character and leadership, as she's faced with challenges she could never have seen coming.

    

    Table of contents: supply systems mechanical design of overhead lines overhead line insulators corona transmission line constants performance of short and medium transmission lines performance of long transmission lines underground cables dc distribution ac distribution insulation resistance of a system interference of power lines with neighboring communication lines extra high voltage ac transmission high voltage direct current (hvdc) transmission construction, testing and commissioning of overhead lines neutral grounding voltage control power system stability power flow studies objective type questions with answers index

    It outlines a set of mindsets and habits you can use to help you identify the most impactful parts of your teaching, and put them centre stage.It's about doing less to achieve more.But it's also about being happier and more confident in the classroom. Building stronger routines around the essentials will give you more time and space to appreciate and think creatively about your work.POWER UP YOUR PLANNINGLean Lesson Planning draws on the latest evidence from educational research and cognitive science, to present a concise and coherent framework to help you improve learning experiences and outcomes for your students. It's the evidence-based teacher's guide to planning for learning, and sits alongside books such as Teach Like a Champion, Embedded Formative Assessment, and Visible Learning for Teachers.NOTE If you're looking for ways to short-cut the amount of time you spend planning lessons, then this book is not for you. The approach outlined in Lean Lesson Planning requires effort and practice, that given time, will lead to better teaching and higher quality learning for less input.---CONTENTSACT I Lean foundations1. Defining lean 2. Lean mindsets 3. Lean habits ACT II Habits for planning4. Backwards design 5. Knowing knowledge 6. Checking understanding 7. Efficient strategies 8. Lasting learning 9. Inter-lesson planning ACT III Habits for growing10. Building excellence 11. Growth teaching 12. Collective improvement Lean Lesson Planning is the first instalment in the High Impact Teaching series.

    The book covers the fundamental aspects of analysis and design, and also discusses practical requirements such as safety, feasibility, and economy of structural elements. It is hoped that the text would also serve as an introduction to postgraduate students. Practicing civil engineers and consultants who need a review of current practice and current IS specifications will also find it useful as a reference.