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What To Do When Machines Do Everything

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“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everythi ...

  • L'auteur : Malcolm Frank,Paul Roehrig,Ben Pring
  • Editeur: John Wiley & Sons
  • ISBN: 1119278678
  • Genre: Business & Economics
  • Nombre de pages: 256
  • Langue: French/English
  • Vues: 1822
  • Telecharger: 1822
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Détails: “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.


What To Do When Machines Do Everything

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“Refreshingly thought-provoking...” – The Financial Times The essential playbook for the future of your business What To Do When Machines Do Everythi ...

  • L'auteur : Malcolm Frank,Paul Roehrig,Ben Pring
  • Editeur: John Wiley & Sons
  • ISBN: 1119278686
  • Genre: Business & Economics
  • Nombre de pages: 256
  • Langue: French/English
  • Vues: 1110
  • Telecharger: 1110
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Détails: “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.


Top of the Mountain Leadership

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What does transformational leadership look like in navigating artificial intelligence and emerging technologies? In this book, the author will address glob ...

  • L'auteur : Tiffany Prince
  • Editeur: First Edition Design Pub.
  • ISBN: 1506908209
  • Genre: Business & Economics
  • Nombre de pages: N.A
  • Langue: French/English
  • Vues: 1973
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Détails: What does transformational leadership look like in navigating artificial intelligence and emerging technologies? In this book, the author will address global workforce implications on the horizon from the advances in technology. Through her vast experience in working with companies and interviewing top leaders from around the world from companies such as Zappos, Sodexo, Amgen, and the WD-40 Company, she has distilled the best ways to prepare teams and leaders, in order to build better teams and drive superior results. In a world that is changing fast, the impact of new technologies such as artificial intelligence and machine learning are already being felt. The time has come to prepare talent and leaders for these changes or you will be left behind. Organizations need to understand how to develop and foster our top leadership talent. In this exciting and interactive book, you will discover: How to build wildly successful global teams How to bring out the very best in your teams and navigate leadership styles for more business impact The future of work and building agility in your workforce Tactics on how to effectively align your organization's needs for the future Driving vision and innovation through diversity and inclusion


Monster

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Learn to tame technology's role in your life and work through 13 easy steps Monster: A Tough Love Letter on Taming the Machines that Rule our Jobs, Lives, ...

  • L'auteur : Paul Roehrig,Ben Pring
  • Editeur: John Wiley & Sons
  • ISBN: 1119785936
  • Genre: Business & Economics
  • Nombre de pages: 176
  • Langue: French/English
  • Vues: 1776
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Détails: Learn to tame technology's role in your life and work through 13 easy steps Monster: A Tough Love Letter on Taming the Machines that Rule our Jobs, Lives, and Future is an insightful exploration of how we can responsibly engage with technology We can maintain our freedom and privacy while still realizing the benefits that tech offers; Monster shows us how. The book offers readers an original view of big tech that includes discussions of: The addictive nature of many modern technology platforms and how to combat bad habits The growing backlash against big tech and how people are growing increasingly disenchanted with its impacts How to tame technology's role in your life and firm without becoming a modern Luddite Perfect for managers, leaders, and employees at companies of all sizes and in all industries, Monster will also earn a place in the libraries of technology enthusiasts who are growing increasingly wary of technology's role in their life and the lives of the people around them.


Artificial Intelligence In Medicine

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This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techn ...

  • L'auteur : Peter Szolovits
  • Editeur: Routledge
  • ISBN: 0429728468
  • Genre: Social Science
  • Nombre de pages: 226
  • Langue: French/English
  • Vues: 1142
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Détails: This book introduces the field of artificial intelligence in medicine, a new research area that combines sophisticated representational and computing techniques with the insights of expert physicians to produce tools for improving health care. An introductory chapter describes the historical and technical foundations of the work and provides an overview of the current state of the art and research directions. The authors then describe four prototype computer programs that tackle difficult clinical problems in a manner similar to that of an expert physician. The programs presented are internist, a diagnostic aid that combines a large database of disease/manifestation associations with techniques for problem formulation; expert and the Glaucoma Program which use physiological models for the diagnosis and treatment of eye disease; mycin, a rule-based program for diagnosis and therapy selection for infectious diseases; and the Digitalis Therapy Advisor, which aids the physician in prescribing the right dose of the drug digitalis and also explains its actions.


Human + Machine

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AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now-- ...

  • L'auteur : Paul R. Daugherty,H. James Wilson
  • Editeur: Harvard Business Press
  • ISBN: 1633693872
  • Genre: Computers
  • Nombre de pages: 264
  • Langue: French/English
  • Vues: 327
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Détails: AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.


Code Halos

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Harness "Code Halos" to gain competitive advantage in thedigital era Amazon beating Borders, Netflix beating Blockbuster, Applebeating Kodak, and the rise ...

  • L'auteur : Malcolm Frank,Paul Roehrig,Ben Pring
  • Editeur: John Wiley & Sons
  • ISBN: 111889166X
  • Genre: Business & Economics
  • Nombre de pages: 256
  • Langue: French/English
  • Vues: 987
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Détails: Harness "Code Halos" to gain competitive advantage in thedigital era Amazon beating Borders, Netflix beating Blockbuster, Applebeating Kodak, and the rise of companies like Google, LinkedIn, andPandora are not isolated or random events. Today's outliers inrevenue growth and value creation are winning with a new set ofrules. They are dominating by managing the information thatsurrounds people, organizations, processes, and products—whatauthors Malcolm Frank, Paul Roehrig, and Ben Pring call Code Halos.This is far beyond “Big Data” and analytics. Code Halosspark new commercial models that can dramatically flip marketdominance from industry stalwarts to challengers. In this new book,the authors show leaders how digital innovators and traditionalcompanies can build Code Halo solutions to drive success. Thebook: Examines the explosion of digital information that nowsurrounds us and describes the profound impact this is having onindividuals, corporations, and societies; Shows how the Crossroads Model can help anticipate and navigatethis market shift; Provides examples of traditional firms already harnessing thepower of Code Halos including GE's "Brilliant Machines," Disney'stheme park "Magic Band," and Allstate's mobile devices andanalytics that transform auto insurance. With reasoned insight, new data, real-world cases, and practicalguidance, Code Halos shows seasoned executives,entrepreneurs, students, line-of-business owners, and technologyleaders how to master the new rules of the Code Halo economy.


Artificial Intelligence with Python

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New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Dat ...

  • L'auteur : Alberto Artasanchez,Prateek Joshi
  • Editeur: Packt Publishing Ltd
  • ISBN: 1839216077
  • Genre: Computers
  • Nombre de pages: 618
  • Langue: French/English
  • Vues: 436
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Détails: New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key Features Completely updated and revised to Python 3.x New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbots Book Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series data Who this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.


A Human's Guide to Machine Intelligence

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A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can ...

  • L'auteur : Kartik Hosanagar
  • Editeur: Penguin
  • ISBN: 0525560890
  • Genre: Business & Economics
  • Nombre de pages: 272
  • Langue: French/English
  • Vues: 1044
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Détails: A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms and the artificial intelligence that underlies them make a staggering number of everyday decisions for us, from what products we buy, to where we decide to eat, to how we consume our news, to whom we date, and how we find a job. We've even delegated life-and-death decisions to algorithms--decisions once made by doctors, pilots, and judges. In his new book, Kartik Hosanagar surveys the brave new world of algorithmic decision-making and reveals the potentially dangerous biases they can give rise to as they increasingly run our lives. He makes the compelling case that we need to arm ourselves with a better, deeper, more nuanced understanding of the phenomenon of algorithmic thinking. And he gives us a route in, pointing out that algorithms often think a lot like their creators--that is, like you and me. Hosanagar draws on his experiences designing algorithms professionally--as well as on history, computer science, and psychology--to explore how algorithms work and why they occasionally go rogue, what drives our trust in them, and the many ramifications of algorithmic decision-making. He examines episodes like Microsoft's chatbot Tay, which was designed to converse on social media like a teenage girl, but instead turned sexist and racist; the fatal accidents of self-driving cars; and even our own common, and often frustrating, experiences on services like Netflix and Amazon. A Human's Guide to Machine Intelligence is an entertaining and provocative look at one of the most important developments of our time and a practical user's guide to this first wave of practical artificial intelligence.


Rise of the Robots

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The New York Times-bestselling guide to how automation is changing the economy, undermining work, and reshaping our lives Winner of Best Business Book of t ...

  • L'auteur : Martin Ford
  • Editeur: Basic Books
  • ISBN: 0465040675
  • Genre: Business & Economics
  • Nombre de pages: 352
  • Langue: French/English
  • Vues: 1266
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Détails: The New York Times-bestselling guide to how automation is changing the economy, undermining work, and reshaping our lives Winner of Best Business Book of the Year awards from the Financial Times and from Forbes "Lucid, comprehensive, and unafraid...;an indispensable contribution to a long-running argument."--Los Angeles Times What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making "good jobs" obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart software. As progress continues, blue and white collar jobs alike will evaporate, squeezing working- and middle-class families ever further. At the same time, households are under assault from exploding costs, especially from the two major industries-education and health care-that, so far, have not been transformed by information technology. The result could well be massive unemployment and inequality as well as the implosion of the consumer economy itself. The past solutions to technological disruption, especially more training and education, aren't going to work. We must decide, now, whether the future will see broad-based prosperity or catastrophic levels of inequality and economic insecurity. Rise of the Robots is essential reading to understand what accelerating technology means for our economic prospects-not to mention those of our children-as well as for society as a whole.


The AI Economy

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Extraordinary innovations in technology promise to transform the world, but how realistic is the claim that AI will change our lives? In this much needed b ...

  • L'auteur : Roger Bootle
  • Editeur: Nicholas Brealey
  • ISBN: 1473696208
  • Genre: Business & Economics
  • Nombre de pages: 224
  • Langue: French/English
  • Vues: 809
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Détails: Extraordinary innovations in technology promise to transform the world, but how realistic is the claim that AI will change our lives? In this much needed book the acclaimed economist Roger Bootle responds to the fascinating economic questions posed by the age of the robot, steering a path away from tech jargon and alarmism towards a rational explanation of the ways in which the AI revolution will affect us all. Tackling the implications of Artificial Intelligence on growth, productivity, inflation and the distribution of wealth and power, THE AI ECONOMY also examines coming changes to the the way we educate, work and spend our leisure time. A fundamentally optimistic view which will help you plan for changing times, this book explains AI and leads you towards a more certain future. Extraordinary innovations in technology promise to transform the world, but how realistic is the claim that AI will change our lives? In this much needed book the acclaimed economist Roger Bootle responds to the fascinating economic questions posed by the age of the robot, steering a path away from tech jargon and alarmism towards a rational explanation of the ways in which the AI revolution will affect us all. Tackling the implications of Artificial Intelligence on growth, productivity, inflation and the distribution of wealth and power, THE AI ECONOMY also examines coming changes to the the way we educate, work and spend our leisure time. A fundamentally optimistic view which will help you plan for changing times, this book explains AI and leads you towards a more certain future.


Architects of Intelligence

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Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is ...

  • L'auteur : Martin Ford
  • Editeur: Packt Publishing Ltd
  • ISBN: 178913126X
  • Genre: Computers
  • Nombre de pages: 554
  • Langue: French/English
  • Vues: 1108
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Détails: Book Description How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community. Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel). Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future.


The Master Algorithm

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A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top ...

  • L'auteur : Pedro Domingos
  • Editeur: Basic Books
  • ISBN: 0465061923
  • Genre: Business & Economics
  • Nombre de pages: 352
  • Langue: French/English
  • Vues: 1370
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Détails: A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.


Artificial Intelligence in Society

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The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Tod ...

  • L'auteur : OECD
  • Editeur: OECD Publishing
  • ISBN: 9264545190
  • Genre:
  • Nombre de pages: 139
  • Langue: French/English
  • Vues: 1703
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Détails: The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.


An Introduction to Data

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This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and pract ...

  • L'auteur : Francesco Corea
  • Editeur: Springer
  • ISBN: 3030044688
  • Genre: Technology & Engineering
  • Nombre de pages: 131
  • Langue: French/English
  • Vues: 702
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Détails: This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies.


Artificial Intelligence for Big Data

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Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perfo ...

  • L'auteur : Anand Deshpande,Manish Kumar
  • Editeur: Packt Publishing Ltd
  • ISBN: 1788476018
  • Genre: Computers
  • Nombre de pages: 384
  • Langue: French/English
  • Vues: 302
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Détails: Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.


Superintelligence

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The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant pos ...

  • L'auteur : Nick Bostrom
  • Editeur: OUP Oxford
  • ISBN: 0191666823
  • Genre: Computers
  • Nombre de pages: 272
  • Langue: French/English
  • Vues: 454
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Détails: The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains. If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence. But we have one advantage: we get to make the first move. Will it be possible to construct a seed AI or otherwise to engineer initial conditions so as to make an intelligence explosion survivable? How could one achieve a controlled detonation? To get closer to an answer to this question, we must make our way through a fascinating landscape of topics and considerations. Read the book and learn about oracles, genies, singletons; about boxing methods, tripwires, and mind crime; about humanity's cosmic endowment and differential technological development; indirect normativity, instrumental convergence, whole brain emulation and technology couplings; Malthusian economics and dystopian evolution; artificial intelligence, and biological cognitive enhancement, and collective intelligence. This profoundly ambitious and original book picks its way carefully through a vast tract of forbiddingly difficult intellectual terrain. Yet the writing is so lucid that it somehow makes it all seem easy. After an utterly engrossing journey that takes us to the frontiers of thinking about the human condition and the future of intelligent life, we find in Nick Bostrom's work nothing less than a reconceptualization of the essential task of our time.


Machine Learning for Decision Makers

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Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning technique ...

  • L'auteur : Patanjali Kashyap
  • Editeur: Apress
  • ISBN: 1484229886
  • Genre: Computers
  • Nombre de pages: 355
  • Langue: French/English
  • Vues: 498
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Détails: Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. What You Will Learn Discover the machine learning, big data, and cloud and cognitive computing technology stack Gain insights into machine learning concepts and practices Understand business and enterprise decision-making using machine learning Absorb machine-learning best practices Who This Book Is For Managers tasked with making key decisions who want to learn how and when machine learning and related technologies can help them.


Artificial Intelligence and Machine Learning Fundamentals

Telecharger pdf Artificial Intelligence and Machine Learning Fundamentals

Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning ...

  • L'auteur : Zsolt Nagy
  • Editeur: Packt Publishing Ltd
  • ISBN: 1789809207
  • Genre: Computers
  • Nombre de pages: 330
  • Langue: French/English
  • Vues: 1342
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Détails: Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learn Understand the importance, principles, and fields of AI Implement basic artificial intelligence concepts with Python Apply regression and classification concepts to real-world problems Perform predictive analysis using decision trees and random forests Carry out clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).


Artificial Intelligence

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. ...

  • L'auteur : Peter Norvig,Stuart Russell
  • Editeur: Pearson Higher Ed
  • ISBN: 0133001989
  • Genre: Computers
  • Nombre de pages: 1152
  • Langue: French/English
  • Vues: 1576
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Détails: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. Dr. Peter Norvig, contributing Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence. According to an article in The New York Times , the course on artificial intelligence is “one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.” One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom. Artificial Intelligence: A Modern Approach, 3e is available to purchase as an eText for your Kindle™, NOOK™, and the iPhone®/iPad®. To learn more about the course on artificial intelligence, visit http://www.ai-class.com. To read the full New York Times article, click here.