Demystifying Artificial Intelligence

Demystifying Artificial Intelligence Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Demystifying Artificial Intelligence book. This book definitely worth reading, it is an incredibly well-written.

Demystifying Artificial intelligence

Prashant Kikani
Demystifying Artificial intelligence Book PDF

Author : Prashant Kikani
Publisher : BPB Publications
Page : 170 pages
File Size : 43,8 Mb
Release : 2021-01-05
Category : Computers
ISBN : 9789389898705

Get Book

Demystifying Artificial intelligence by Prashant Kikani Pdf

Learn AI & Machine Learning from the first principles. KEY FEATURESÊÊ _ Explore how different industries are using AI and ML for diverse use-cases. _ Learn core concepts of Data Science, Machine Learning, Deep Learning and NLP in an easy and intuitive manner. _ Cutting-edge coverage on use of ML for business products and services. _ Explore how different companies are monetizing AI and ML technologies. _ Learn how you can start your own journey in the AI field from scratch. DESCRIPTION AI and machine learning (ML) are probably the most fascinating technologies of the 21st century. AI is literally in every industry now. From medical to climate change, education to sport, finance to entertainment, AI is disrupting every industry as we know. So, the basic knowledge of AI/ML becomes mandatory for everyone. This book is your first step to start the journey in this field. Along with basic concepts of fields, like machine learning, deep learning and NLP, we will also explore how big companies are using these technologies to deliver greater user experience and earning millions of dollars in profit. Also, we will see how the owners of small- or medium-sized businesses can leverage and integrate these technologies with their products and services. Leveraging AI and ML can become that competitive moat which can differentiate the product from others. In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. WHAT YOU WILL LEARN Ê _ Core concepts of data science, machine learning, deep learning and NLP in simple and intuitive words. _ How you can leverage and integrate AI technologies in your business to differentiate your product in the market. _ The limitations of traditional non-tech businesses and how AI can bridge those gaps to increase revenues and decrease costs. _ How AI can help companies in launching new products, improving existing ones and automating mundane processes. _ Explore how big tech companies are using AI to automate different tasks and providing unique product experiences to their users. WHO THIS BOOK IS FORÊÊ This book is for anyone who is curious about this fascinating technology and how it really works at its core. It is also beneficial to those who want to start their career in AI/ ML. TABLE OF CONTENTSÊ 1. Introduction 2. Going deeper in ML concepts 3. Business perspective of AI 4. How to get started and pitfalls to avoid

Demystifying Big Data and Machine Learning for Healthcare

Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Demystifying Big Data and Machine Learning for Healthcare Book PDF

Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publisher : CRC Press
Page : 233 pages
File Size : 47,5 Mb
Release : 2017-02-15
Category : Medical
ISBN : 9781315389301

Get Book

Demystifying Big Data and Machine Learning for Healthcare by Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz Pdf

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.

The AI Ladder

Rob Thomas,Paul Zikopoulos
The AI Ladder Book PDF

Author : Rob Thomas,Paul Zikopoulos
Publisher : "O'Reilly Media, Inc."
Page : 238 pages
File Size : 53,9 Mb
Release : 2020-04-30
Category : Computers
ISBN : 9781492073383

Get Book

The AI Ladder by Rob Thomas,Paul Zikopoulos Pdf

AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows

Demystifying AI for the Enterprise

Prashant Natarajan,Bob Rogers,Edward Dixon,Jonas Christensen,Kirk Borne,Leland Wilkinson,Shantha Mohan
Demystifying AI for the Enterprise Book PDF

Author : Prashant Natarajan,Bob Rogers,Edward Dixon,Jonas Christensen,Kirk Borne,Leland Wilkinson,Shantha Mohan
Publisher : CRC Press
Page : 465 pages
File Size : 55,9 Mb
Release : 2021-12-30
Category : Computers
ISBN : 9781351032926

Get Book

Demystifying AI for the Enterprise by Prashant Natarajan,Bob Rogers,Edward Dixon,Jonas Christensen,Kirk Borne,Leland Wilkinson,Shantha Mohan Pdf

Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Artificial Intelligence and Its Contexts

Anna Visvizi,Marek Bodziany
Artificial Intelligence and Its Contexts Book PDF

Author : Anna Visvizi,Marek Bodziany
Publisher : Springer Nature
Page : 234 pages
File Size : 46,8 Mb
Release : 2021-11-27
Category : Computers
ISBN : 9783030889722

Get Book

Artificial Intelligence and Its Contexts by Anna Visvizi,Marek Bodziany Pdf

This book offers a comprehensive approach to the question of how artificial intelligence (AI) impacts politics, economy, and the society today. In this view, it is quintessential for understanding the complex nature of AI and its role in today’s world. The book has been divided into three parts. Part one is devoted to the question of how AI will be used for security and defense purposes, including combat in war zones. Part two looks at the value added of AI and machine learning for decision-making in the fields of politics and business. Part three consists of case studies—covering the EU, the USA, Saudi Arabia, Portugal, and Poland—that discuss how AI is being used in the realms of politics, security and defense. The discussion in the book opens with the question of the nature of AI, as well as of ethics and the use of AI in combat. Subsequently, the argument covers issues as diverse as the militarization of AI, the use of AI in strategic studies and military strategy design. These topics are followed by an insight into AI and strategic communication (StratCom), including disinformation, as well as into AI and finance. The case-studies included in part 3 of the book offer a captivating overview of how AI is being employed to stimulate growth and development, to promote data- and evidence-driven policy-making, to enable efficient and inclusive digital transformation and other related issues. Written by academics and practitioners in an academically sound, yet approachable manner, this volume queries issues and topics that form the thrust of processes that transform world politics, economics and society. As such, this volume will serve as the primer for students, researchers, lectures and other professionals who seek to understand and engage with the variety of issues AI implicates.

Demystifying Smart Cities

Anders Lisdorf
Demystifying Smart Cities Book PDF

Author : Anders Lisdorf
Publisher : Apress
Page : 237 pages
File Size : 49,6 Mb
Release : 2019-12-09
Category : Computers
ISBN : 9781484253779

Get Book

Demystifying Smart Cities by Anders Lisdorf Pdf

The concept of Smart Cities is accurately regarded as a potentially transformative power all over the world. Bustling metropolises infused with the right combination of the Internet of Things, artificial intelligence, big data, and blockchain promise to improve both our daily lives and larger structural operations at a city government level. The practical realities pose challenges that a significant sector of the tech industry now revolves around solving. Cut through the hype with Demystifying Smart Cities. In this book, the real-world implementations of successful Smart City technology in places like New York, Amsterdam, Copenhagen, and more are analyzed, and insights are gained from recorded attempts in similar urban centers that have not reached their full Smart City potential. From the logistical complications of securing thousands of devices to collect millions of pieces of data daily, to the complicated governmental processes that are required to install Smart City tech, Demystifying Smart Cities covers every aspect of this revolutionary modern technology. This book is the essential guide for anybody who touches a step of the Smart City process—from salespeople representing product vendors to city government officials to data scientists—and provides a more well-rounded understanding of the full positive and negative impacts of Smart City technology deployment. Demystifying Smart Cities evaluates how our cities can behave in a more intelligent way, and how producing novel solutions can pose equally novel challenges. The future of the metropolis is here, and the expert knowledge in the book is your greatest asset. What You'll LearnPractical issues and challenges of managing thousands and millions of IoT devices in a city The different types of city data and how to manage and secure it The possibilities of utilizing AI into a city (and how it differs from working with the private sector) Examples of how to make cities smarter with technology Who This Book Is For Primarily for those already familiar with the hype of smart city technologies but not the details of its implementation, along with technologists interested in learning how city government works when integrating technology. Also, people working for smart city vendors, especially sales people and product managers who need to understand their target market.

Machine Intelligence

Suresh Samudrala
Machine Intelligence Book PDF

Author : Suresh Samudrala
Publisher : Notion Press
Page : 184 pages
File Size : 50,6 Mb
Release : 2019-01-11
Category : Computers
ISBN : 9781684660834

Get Book

Machine Intelligence by Suresh Samudrala Pdf

Artificial intelligence and machine learning are considered as hot technologies of this century. As these technologies move from research labs to enterprise data centers, the need for skilled professionals is continuously on the rise. This book is intended for IT and business professionals looking to gain proficiency in these technologies but are turned off by the complex mathematical equations. This book is also useful for students in the area of artificial intelligence and machine learning to gain a conceptual understanding of the algorithms and get an industry perspective. This book is an ideal place to start your journey as • Core concepts of machine learning algorithms are explained in plain English using illustrations, data tables and examples • Intuitive meaning of the mathematics behind popular machine learning algorithms explained • Covers classical machine learning, neural networks and deep learning algorithms At a time when the IT industry is focusing on reskilling its vast human resources, Machine intelligence is a very timely publication. It has a simple approach that builds up from basics, which would help software engineers and students looking to learn about the field as well as those who might have started off without the benefit of a structured introduction or sound basics. Highly recommended. - Siddhartha S, Founder and CEO of Intain - Financial technology startup Suresh has written a very accessible book for practitioners. The book has depth yet avoids excessive mathematics. The coverage of the subject is very good and has most of the concepts required for understanding machine learning if someone is looking for depth. For senior management, it will provide a good overview. It is well written. I highly recommend it. - Whee Teck ONG, CEO of Trusted Source and VP of Singapore Computer Society

Artificial Unintelligence

Meredith Broussard
Artificial Unintelligence Book PDF

Author : Meredith Broussard
Publisher : MIT Press
Page : 247 pages
File Size : 44,5 Mb
Release : 2019-01-29
Category : Computers
ISBN : 9780262537018

Get Book

Artificial Unintelligence by Meredith Broussard Pdf

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

Artificial Intelligence and Machine Learning in Business Management

Sandeep Kumar Panda,Vaibhav Mishra,R. Balamurali,Ahmed A. Elngar
Artificial Intelligence and Machine Learning in Business Management Book PDF

Author : Sandeep Kumar Panda,Vaibhav Mishra,R. Balamurali,Ahmed A. Elngar
Publisher : CRC Press
Page : 278 pages
File Size : 46,9 Mb
Release : 2021-11-05
Category : Business & Economics
ISBN : 9781000432114

Get Book

Artificial Intelligence and Machine Learning in Business Management by Sandeep Kumar Panda,Vaibhav Mishra,R. Balamurali,Ahmed A. Elngar Pdf

Artificial Intelligence and Machine Learning in Business Management The focus of this book is to introduce artificial intelligence (AI) and machine learning (ML) technologies into the context of business management. The book gives insights into the implementation and impact of AI and ML to business leaders, managers, technology developers, and implementers. With the maturing use of AI or ML in the field of business intelligence, this book examines several projects with innovative uses of AI beyond data organization and access. It follows the Predictive Modeling Toolkit for providing new insight on how to use improved AI tools in the field of business. It explores cultural heritage values and risk assessments for mitigation and conservation and discusses on-shore and off-shore technological capabilities with spatial tools for addressing marketing and retail strategies, and insurance and healthcare systems. Taking a multidisciplinary approach for using AI, this book provides a single comprehensive reference resource for undergraduate, graduate, business professionals, and related disciplines.

Demystifying Artificial Intelligence

Prashant Kikani
Demystifying Artificial Intelligence Book PDF

Author : Prashant Kikani
Publisher : Unknown
Page : 0 pages
File Size : 42,6 Mb
Release : 2021
Category : Data mining
ISBN : OCLC:1341685685

Get Book

Demystifying Artificial Intelligence by Prashant Kikani Pdf

In this book, you will learn the root concepts of AI/ML and how these inanimate machines can actually become smarter than the humans at a few tasks, and how companies are using AI and how you can leverage AI to earn profits. --

Handbook of Machine Learning for Computational Optimization

Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
Handbook of Machine Learning for Computational Optimization Book PDF

Author : Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
Publisher : CRC Press
Page : 295 pages
File Size : 48,8 Mb
Release : 2021-11-02
Category : Technology & Engineering
ISBN : 9781000455670

Get Book

Handbook of Machine Learning for Computational Optimization by Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan Pdf

Focuses on new machine learning developments that can lead to newly developed applications Uses a predictive and futuristic approach which makes Machine Learning a promising tool for business processes and sustainable solutions Promotes newer algorithms which are more efficient and reliable for a new dimension in discovering certain latent domains of applications Discusses the huge potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making Offers many real-time case studies

AI For Lawyers

Noah Waisberg,Alexander Hudek
AI For Lawyers Book PDF

Author : Noah Waisberg,Alexander Hudek
Publisher : John Wiley & Sons
Page : 48 pages
File Size : 53,5 Mb
Release : 2021-02-02
Category : Business & Economics
ISBN : 9781119723882

Get Book

AI For Lawyers by Noah Waisberg,Alexander Hudek Pdf

Discover how artificial intelligence can improve how your organization practices law with this compelling resource from the creators of one of the world’s leading legal AI platforms. AI for Lawyers: How Artificial Intelligence is Adding Value, Amplifying Expertise, and Transforming Careers explains how artificial intelligence can be used to revolutionize your organization’s operations. Noah Waisberg and Dr. Alexander Hudek, a lawyer and a computer science Ph.D. who lead prominent legal AI business Kira Systems, have written an approachable and insightful book that will help you transform how your firm functions. AI for Lawyers explains how artificial intelligence can help your law firm: Win more business and find more clients Better meet and exceed client expectations Find hidden efficiencies Better manage and eliminate risk Increase associate and partner engagement Whether focusing on small or big law, AI for Lawyers is perfect for any lawyer who either feels uneasy about how AI might change law or is looking to capitalize on the evolving practice. With contributions from experts in the fields of e-Discovery, legal research, expert systems, and litigation analytics, it also belongs on the bookshelf of anyone who’s interested in the intersection of law and technology.

The Myth of Artificial Intelligence

Erik J. Larson
The Myth of Artificial Intelligence Book PDF

Author : Erik J. Larson
Publisher : Harvard University Press
Page : 321 pages
File Size : 55,7 Mb
Release : 2021-04-06
Category : Computers
ISBN : 9780674983519

Get Book

The Myth of Artificial Intelligence by Erik J. Larson Pdf

“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

Cyborg Futures

Teresa Heffernan
Cyborg Futures Book PDF

Author : Teresa Heffernan
Publisher : Springer Nature
Page : 199 pages
File Size : 44,6 Mb
Release : 2019-11-26
Category : Social Science
ISBN : 9783030218362

Get Book

Cyborg Futures by Teresa Heffernan Pdf

This volume brings together academics from evolutionary biology, literary theory, robotics, digital culture, anthropology, sociology, and environmental studies to consider the impact of robotics and AI on society. By bringing these perspectives together in one book, readers gain a sense of the complex scientific, social, and ideological contexts within which AI and robotics research is unfolding, as well as the illusory suppositions and distorted claims being mobilized by the industry in the name of bettering humanity’s future. Discussions about AI and robotics have been shaped by computer science and engineering, steered by corporate and military interests, forged by transhumanist philosophy and libertarian politics, animated by fiction, and hyped by the media. From fiction passing as science to the illusion of AI autonomy to the business of ethics to the automation of war, this collection recognizes the inevitable entanglement of humanity and technology, while exposing the problematic assumptions and myths driving the field in order to better assess its risks and potential.

Intelligence Is Not Artificial

Piero Scaruffi
Intelligence Is Not Artificial Book PDF

Author : Piero Scaruffi
Publisher : Unknown
Page : 496 pages
File Size : 52,9 Mb
Release : 2018-05
Category : Electronic
ISBN : 1984101455

Get Book

Intelligence Is Not Artificial by Piero Scaruffi Pdf

This book provides a detailed history of Artificial Intelligence, and a "reality check".Themes explored in this book include:- Most of the "intelligence" of our machines is dueto the environment that humans structure for them.- We are building "vast algorithmic bureaucracies" all around us.- Automation is an effect, not a cause.- The danger is not that machines will become as intelligent as us but that we will become as dumb as them (the Turing Test in reverse).- We have always coexisted with super-human (or, better, non-human) intelligence.- The Singularity is simply a religion for the god-less 21st century.