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.

     You’ll learn over 60 creative, useful, and FRUGAL ways to use baking soda – and I guarantee that at least 50 will be new to you! You’ll learn how to make this environmentally friendly, non-toxic, 100% safe product work for you in ways you never thought possible – and reap the benefits of a healthier and chemical-free lifestyle! We’ll hop from the kitchen, bathroom, stovetop, oven, laundry, outdoors, carpet, furniture, car, and even your children and pets to uncover some great and unique uses for baking soda! Here’s a sample of what you’ll learn in Baking Soda Power! • The origin of baking soda and exactly why it is so effective • How to treat bug bites and burns • How to freshen up your shoes and laundry • How to degrease your kitchen with baking soda • How to cook and bake with baking soda • How to use baking soda as a deodorant and shampoo • How to put out fires with baking soda • How to unclog drains safely • How to tenderize meat and make homemade Gatorade with baking soda • PRECISE recipes for each use! And so many more ways to apply baking soda to your everyday needs! With Baking Soda Power! you will learn how baking soda can save you loads of money each year by replacing toxic, dangerous cleaning agents that are in your house right now. Cooking will be more convenient, your home will be much cleaner and fresher smelling, and your own hygiene will be bettered in a completely safe and non-chemical way. You will never do laundry the same! You’ll see how versatile baking soda is and the countless ways it can benefit your life. Don’t hesitate on saving money while staying safe – scroll up and click the orange BUY NOW button immediately P.S. The price is always right for baking soda! Prior to finding her calling as a mother, Patty obtained a B.S. in chemistry from one of the top universities in the United States. She has a rare combination of practical application and theoretical knowledge of baking soda - she quite literally knows the ins and outs of baking soda unlike anyone else!

    Burgess himself will die tonight in an equally odd manner, leaving Tom with a locked case and a lot of unanswered questions. Join Tom and a cast of disreputable and downright dangerous characters in this witty thriller set in a murky world of murder, mystery and complex equations, involving internet conspiracy theorists, hedge fund managers, the Belarusian mafia and a cat called µ.

    Now, in an exciting, fast-paced historical narrative ranging across two centuries, Mark Ronan takes us on an exhilarating tour of this final mathematical quest. Ronan describes how the quest to understand symmetry really began with the tragic young genius Evariste Galois, who died at the age of 20 in a duel. Galois, who spent the night before he died frantically scribbling his unpublished discoveries, used symmetry to understand algebraic equations, and he discovered that there were building blocks or atoms of symmetry. Most of these building blocks fit into a table, rather like the periodic table of elements, but mathematicians have found 26 exceptions. The biggest of these was dubbed the Monster--a giant snowflake in 196,884 dimensions. Ronan, who personally knows the individuals now working on this problem, reveals how the Monster was only dimly seen at first. As more and more mathematicians became involved, the Monster became clearer, and it was found to be not monstrous but a beautiful form that pointed out deep connections between symmetry, string theory, and the very fabric and form of the universe. This story of discovery involves extraordinary characters, and Mark Ronan brings these people to life, vividly recreating the growing excitement of what became the biggest joint project ever in the field of mathematics. Vibrantly written, Symmetry and the Monster is a must-read for all fans of popular science--and especially readers of such books as Fermat's Last Theorem.

    Indeed, numbers are part of every discipline in the sciences and the arts.With 350 illustrations, including diagrams, photographs and computer imagery, the book chronicles the centuries-long search for the meaning of numbers by famous and lesser-known mathematicians, and explains the puzzling aspects of the mathematical world. Topics include:The earliest ideas of numbers and counting Patterns, logic, calculating Natural, perfect, amicable and prime numbers Numerology, the power of numbers, superstition The computer, the Enigma Code Infinity, the speed of light, relativity Complex numbers The Big Bang and Chaos theories The Philosopher's Stone. The Book of Numbers shows enthusiastically that numbers are neither boring nor dull but rather involve intriguing connections, rivalries, secret documents and even mysterious deaths.

    With an accessible and lively writing style, it introduces modern techniques to what can often be a formal and intimidating subject. Readers are led from the physics of flat spacetime (special relativity), through the intricacies of differential geometry and Einstein's equations, and on to exciting applications such as black holes, gravitational radiation, and cosmology.

    This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

    This book is designed to give the reader insight into the power and beauty that accrues from a rich interplay between different areas of mathematics. The book carefully develops the theory of different algebraic structures, beginning from basic definitions to some in-depth results, using numerous examples and exercises to aid the reader's understanding. In this way, readers gain an appreciation for how mathematical structures and their interplay lead to powerful results and insights in a number of different settings. * The emphasis throughout has been to motivate the introduction and development of important algebraic concepts using as many examples as possible.

    This work includes differential forms and the elegant forms of Maxwell's equations, and a chapter on probability and statistics. It also illustrates and proves mathematical relations.

    Numerous tables and figures.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    With the new tablet, I absolutely love its many standard features and capabilities, but have found there is so much more that can be done with this amazing gadget. I’ve learned a lot of great things you can do with a Kindle Fire HD and want to help others get more out of their Kindle Fire HDX and HD devices. I've developed a comprehensive guide book to help users along on their device, including tips and tricks to really unlock and unleash the possibilities with the tablet. Here’s just some of the great info you’ll find in this User’s Guide Book: - Getting to know the various settings of your Kindle Fire HDX or HD - Browsing your Kindle and carousel - How to store your favorite content items on the device - Setting up security options to safeguard your device - Setting up your e-mail, contacts and calendar info - Setting up and using wireless networks - How to print from your Kindle Fire HD - How to install the Dolphin Browser with Adobe Flash - How to install the Google Chrome browser on your tablet - Pairing your Kindle Fire HD with a compatible Bluetooth phone or computer - How to set-up FreeTime for your kids to use your Kindle with restrictions - How to listen to the radio on your tablet - How to use your tablet to make phone calls for free! - How to download YouTube videos to your Kindle Fire HD - How to take photos and videos with your Kindle Fire HD camera - How to sideload apps on your Kindle Fire HD - Some of the best apps you can get for your tablet - Suggested apps to take your tablet to the next level! You’ll learn all of the above and more in this book which features color screenshots straight from the Kindle and step-by-step instructions on the processes involved in unleashing more powerful features for your Kindle Fire HD! There's also helpful links throughout the guide to take you right to the apps and websites being discussed. In all, this is a must-have ebook to get for any Kindle Fire HD user who wants to take their device to the next level! Note: Many of the tips and how-to's covered in this guide will also apply to the previous generation of the Kindle Fire HD, released in 2012. Please note this book is for owners of the American version of the Kindle Fire HDX & Kindle Fire HD tablets sold as of October 2013 in the United States.

    Pure Substances, The First And Second Laws, Gases, Psychrometrics, The Vapor, Gas And Refrigeration Cycles, Heat Transfer, Compressible Flow, Chemical Reactions, Fuels, And More Are Presented In Detail And Enhanced With Practical Applications. This Version Presents The Material Using SI Units And Has Ample Material On SI Conversion, Steam Tables, And A Mollier Diagram. A CD-ROM, Included With The Print Version Of The Text, Includes A Fully Functional Version Of Quickfield (Widely Used In Industry), As Well As Numerous Demonstrations And Simulations With MATLAB, And Other Third Party Software.

    Experience the incredible exploits of this young elk as he grows to become a great leader of his kind. His life is one of challenge and near tragedy as he struggles to survive the often violent life that is nature. Under the guidance of great bulls and mysterious spirit guides, this brave young bull grows to understand the never-ending circle of life and the oneness that he and all living things share. Enter the brutally honest world that is nature, and walk the journey of this courageous young bull as by his grandeur he brings all four-legged ones to a great oneness with their most feared enemy, man. You will laugh and cry as this young elk grows to become that which you an I hope someday to be.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.