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EBookClubs

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Book 199 Big Machines

    Book Details:
  • Author : Jessica Greenwell
  • Publisher :
  • Release : 2018-08
  • ISBN : 9781474952262
  • Pages : 16 pages

Download or read book 199 Big Machines written by Jessica Greenwell and published by . This book was released on 2018-08 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Synopsis coming soon.......

Book 199 Things on the Farm

Download or read book 199 Things on the Farm written by Holly BATHIE and published by . This book was released on 2018-03 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: This beautifuly illustrated picture word book contains exactly 199 labelled images of things to be found on a farm. Lots to look at and talk about, this is a great way to extend and broaden children's vocabulary and knowledge of different environments. A neat and practical format, perfect for taking on holiday. Part of the '199 Things' series, which includes '199 Things under the sea', '199 Things in the Garden' and '199 Animals'.

Book Big Book of Big Machines

    Book Details:
  • Author : Minna Lacey
  • Publisher :
  • Release : 2017-03-01
  • ISBN : 9781474928946
  • Pages : 16 pages

Download or read book Big Book of Big Machines written by Minna Lacey and published by . This book was released on 2017-03-01 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Open out the giant fold-out pages to find out about some of the world's biggest, strongest and tallest machines. Full of the world’s biggest machines found on building sites, farms, airports and dockyards including one of the biggest machines ever, the bucket-wheel excavator used in mining. For the biggest of machines, the book includes two giant foldout pages. This attractive picture book format replaces the original board book format, ISBN 9781409507314.

Book Mathematics for Machine Learning

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Book 199 Ships and Boats

Download or read book 199 Ships and Boats written by Kristie Pickersgill and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 199 clear, labelled illustrations of a variety of waterborne vessels. Find out about the amazing array of ships and boats that sail our oceans and waterways from rowing boats and kayaks to huge luxury liners. Themes include famous ships, sailing ships, all kinds of boats, battleships, submarines and lots more. Great for developing vocabulary and language skills.

Book Out Of Control

    Book Details:
  • Author : Kevin Kelly
  • Publisher : Basic Books
  • Release : 2009-04-30
  • ISBN : 078674703X
  • Pages : 528 pages

Download or read book Out Of Control written by Kevin Kelly and published by Basic Books. This book was released on 2009-04-30 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Out of Control chronicles the dawn of a new era in which the machines and systems that drive our economy are so complex and autonomous as to be indistinguishable from living things.

Book 199 Things on the Road

Download or read book 199 Things on the Road written by Jessica Greenwell and published by . This book was released on 2019-08-08 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging picture reference book contains exactly 199 things on the road. Children will love spotting and talking about all the different sorts of cars, trucks, bikes, tractors and emergency vehicles. Themes include: 'All kinds of cars', 'In the city' and 'At the farm'. Improves vocabulary with 199 labelled illustrations, ranging from familiar vehicles to more unusual ones. Doubles as a 'spotter's guide'. Children can look out for all the things in the book on car journeys and on holiday. Part of the '199 Things' series, which includes '199 Things Under the Sea' and '199 Things on the Farm'.

Book Interpretable Machine Learning

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Book What To Do When Machines Do Everything

Download or read book What To Do When Machines Do Everything written by Malcolm Frank and published by John Wiley & Sons. This book was released on 2017-01-18 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created. Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work. The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation. Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you; Understand the untold full extent of technology's impact on the way we work and live. Find out where we're headed, and how soon the future will arrive Leverage the new emerging paradigm into a sustainable business advantage Adopt a strategic model for winning in the new economy The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.

Book The CEO Pay Machine

Download or read book The CEO Pay Machine written by Steven Clifford and published by Penguin. This book was released on 2017 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The pay gap between chief executive officers of major U.S. firms and their workers is higher than ever before--depending on the method of calculation, CEOs get paid between 300 and 700 times more than the average worker. Such outsized pay is a relatively recent phenomenon, but ... few detractors truly understand the numerous factors that have contributed to the dizzying upward spiral in CEO compensation. Steven Clifford, a former CEO who has also served on many corporate boards, has a name for these procedures and practices: 'The CEO Pay Machine.' [This book] is Clifford's ... explanation of the 'machine'--how it works, how its parts interact, and how every step pushes CEO pay to higher levels"--

Book Understanding Machine Learning

Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Book 199 Animals

    Book Details:
  • Author : Holly Bathie
  • Publisher :
  • Release : 2016-08
  • ISBN : 9781474922135
  • Pages : 0 pages

Download or read book 199 Animals written by Holly Bathie and published by . This book was released on 2016-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Children need to add lots of words to their spoken vocabularly and this fantastic look-and-talk book will provide them with plenty of opportunities to do so. Images borrowed from Usborne's 1,000 Things...series are collected here in a compact, simplified series for younger children. Thin board will withstand constant use.

Book 199 Jobs BB

    Book Details:
  • Author : Hannah Watson
  • Publisher :
  • Release : 2019-09
  • ISBN : 9781474965194
  • Pages : 16 pages

Download or read book 199 Jobs BB written by Hannah Watson and published by . This book was released on 2019-09 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Which jobs do people do at a hospital, on a building site or in a school? Find out in this book containing 199 illustrations of jobs people do.

Book Automated Machine Learning

Download or read book Automated Machine Learning written by Frank Hutter and published by Springer. This book was released on 2019-05-17 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Book Machine Learning

    Book Details:
  • Author : Tony Jebara
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 1441990119
  • Pages : 213 pages

Download or read book Machine Learning written by Tony Jebara and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two schools of thought together within a common framework, elegantly connecting their various theories and making one common big-picture. Also, this bridge brings forth new hybrid discriminative-generative tools that combine the strengths of both camps. This book serves multiple purposes as well. The framework acts as a scientific breakthrough, fusing the areas of generative and discriminative learning and will be of interest to many researchers. However, as a conceptual breakthrough, this common framework unifies many previously unrelated tools and techniques and makes them understandable to a larger portion of the public. This gives the more practical-minded engineer, student and the industrial public an easy-access and more sensible road map into the world of machine learning. Machine Learning: Discriminative and Generative is designed for an audience composed of researchers & practitioners in industry and academia. The book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Book My Big Truck Book

Download or read book My Big Truck Book written by Roger Priddy and published by Macmillan. This book was released on 2011-05-10 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the perfect book for kids who love trucks. On the big, sturdy board pages, they'll discover bright, bold photographs of all different kinds of trucks, from farm trucks to fire trucks to construction vehicles. Each has their name written underneath, so that children can learn what they're called, build their truck vocabulary, and start to develop word and picture association.

Book Rube Goldberg s Simple Normal Humdrum School Day

Download or read book Rube Goldberg s Simple Normal Humdrum School Day written by Jennifer George and published by Abrams. This book was released on 2017-08-29 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: If Rube’s inventions are any indication, “normal” means something very different in the Goldberg household. For Rube, up is down, in is out, and the simplest path to accomplishing an everyday task—like brushing his teeth or getting dressed—is a humorously complicated one. Follow Rube as he sets out on a typical school day, overcomplicating each and every step from the time he wakes up in the morning until the time he goes to bed at night. This book features fourteen inventions, each depicting an interactive sequence whose purpose is to help Rube accomplish mundane daily tasks: a simple way to get ready for school, to make breakfast, to do his homework, and so much more.