This exposed an ecosystem that had been hidden from the sun for over 120,000 years. Imbedded deep in the ice shelf was an object. The object was carrying a deadly virus that killed most of the world's population. A group of strangers, bound by circumstance, embark on an epic adventure to develop a vaccine to save what is left of the human race. In the sequel, Akureyri Gateway, one of the three individuals that is immune from the deadly virus visits a cave in Akureyri, Iceland. This cave holds the key to unlocking the mystery surrounding the origins of the worldwide pandemic. The adventure continues with Biogenic Convergence, the third installment in this series.

    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.

    

    Boylestad and Nashelsky offer students a complete and comprehensive survey, focusing on all the essentials they will need to succeed on the job. This very readable presentation is supported by strong pedagogy and content that is ideal for new students of this rapidly changing field. Its colorful, student-friendly layout boasts a large number of stunning photographs. A broad range of ancillary materials is available for instructor support.

    Information is provided on the fundamental concepts of table and graph design, the numbers and knowledge most suitable for display in a graphic form, the best tabular means to communicate certain ideas, and the component-level aspects of design. Analysts, technicians, and managers will appreciate the solid theory behind this outline for ensuring that tables and graphs present quantitative business information in a truthful, attractive format that facilitates better decision making.

    The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. *NEW-Nontechnical learning material-Accompanies each part of the book. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-On-line Java software. *Makes it easy for students to do projects on the web using intelligent agents. *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa

    This newest edition expands on the strengths of earlier versions, helping students bridge the gap between concepts and reasoning. Students are shown, rather than told about, how physics works and are given the opportunity to apply concepts to real-world problems. Each chapter and concept has been scrutinized to ensure clarity, currency, and accuracy while checkpoints, problem solving tactics, and sample problems help students make sense of new concepts. As always, Fundamentals of Physics covers every aspect of basic physics, from force and motion to relativity and will prepare today's students to be tomorrow's scientists.

    For examples see chapters 3, 4, 5 and 9. * Mechanical property coverage The Sixth Edition maintains its extensive, introductory level coverage of mechanical properties and failure--the most important materials considerations for many engineers. For examples see chapters 6, 7, & 8. * A picture is worth 1000 words! The Sixth Edition judiciously and extensively makes use of illustrations and photographs. The approximate 500 figures include a large number of photographs that show the microstructure of various materials (e.g., Figures 9.12, 10.8, 13.12, 14.15 and 16.5). * Current and up-to-date Students are presented with the latest developments in Material Science and Engineering. Such up-to-date content includes advanced ceramic and polymeric materials, composites, high-energy hard magnetic materials, and optical fibers in communications. For examples see sections 13.7, 15.19, 16.8, 20.9, and 21.14. * Why study These sections at the beginning of each chapter provide the student with reasons why it is important to learn the material covered in the chapter. * Learning objectives A brief list of learning objectives for each chapter states the key learning concepts for the chapter. * Resources to facilitate the materials selection process. Appendix B, which contains 11 properties for a set of approximately 100 materials, is included which be used in materials selection problems. An additional resource, Appendix C, contains the prices for all materials listed in Appendix B. * The text is packaged with a CD-ROM that contains 1) interactive software modules to enhance visualization of three-dimensional objects, 2) additional coverage of select topics, and 3) complete solutions to selected problems from the text in order to assist students in mastering problem-solving.

    The first half of the book deals with classical physical optics; the second principally with the quantum nature of light. Chapters 1 and 2 treat the propagation of light waves, including the concepts of phase and group velocities, and the vectorial nature of light. Chapter 3 applies the concepts of partial coherence and coherence length to the study of interference, and Chapter 4 takes up multiple-beam interference and includes Fabry-Perot interferometry and multilayer-film theory. Diffraction and holography are the subjects of Chapter 5, and the propagation of light in material media (including crystal and nonlinear optics) are central to Chapter 6. Chapters 7 and 8 introduce the quantum theory of light and elementary optical spectra, and Chapter 9 explores the theory of light amplification and lasers. Chapter 10 briefly outlines ray optics in order to introduce students to the matrix method for treating optical systems and to apply the ray matrix to the study of laser resonators.Many applications of the laser to the study of optics are integrated throughout the text. The author assumes students have had an intermediate course in electricity and magnetism and some advanced mathematics beyond calculus. For classroom use, a list of problems is included at the end of each chapter, with selected answers at the end of the book.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    The book helps psychologists apply the Ethics Code to the constantly changing scientific, professional, and legal realities of the discipline. Author Celia B. Fisher addresses the revised format, choice of wording, aspirational rationale, and enforceability of the code and puts these changes into practical perspective for psychologists. The book provides in-depth discussions of the foundation and application of each ethical standard to the broad spectrum of scientific, teaching, and professional roles of psychologists. This unique guide helps psychologists effectively use ethical principles and standards to morally conduct their work activities, avoid ethical violations, and, most importantly, preserve and protect the fundamental rights and welfare of those whom they serve.

     They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk. Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact. This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

    OIL 101 is a straightforward guide to oil and an essential read for anyone coming to grips with where oil prices, the economy and society are headed.In OIL 101, Downey provides the facts one needs to understand oil, from its history and chemistry, to refining, finished products, storage, transportation, alternatives, and how prices are determined every day in global wholesale oil markets and how those markets are connected to prices at the pump.

    Bringing technology into the classroom is about so much more than replacing overhead projectors and chalkboards with Smart Boards. Unfortunately, as Stanford Professor Jo Boaler says, “We are in the twenty-first century, but visitors to many math classrooms could be forgiven for thinking they had stepped back in time and walked into the Victorian era.” But that’s all about to change . . . In Teaching Math with Google Apps, author-educators Alice Keeler and Diana Herrington reveal more than 50 ways teachers can use technology in math classes. The goal isn’t using tech for tech’s sake; rather, it’s to help students develop critical-thinking skills and learn how to apply mathematical concepts to real life. Memorization and speed tests seem irrelevant to students who can find the solution to almost any math problem with a tap of the finger. But today’s digital tools allow teachers to make math relevant. Specifically, Google Apps give teachers the opportunity to interact with students in more meaningful ways than ever before, and G Suite empowers students to stretch their thinking and their creativity as they collaborate, explore, and learn. Teaching Math with Google Apps shows you how to: Create engaging activities that make math relevant to your students Interact with students throughout the learning process Spend less time repeating instructions and grading work Improve your lessons so you can better meet your students’ needs Packed with lesson ideas, links to downloadable templates, step-by-step instructions, and resources, Teaching Math with Google Apps equips you to bring your math class into the twenty-first century with easy-to-use technology. What are you waiting for?

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