The Ultimate Modern Guide To Artificial Intelligence
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| Author | : Enamul Haque |
| Publisher | : Enamul Haque |
| Total Pages | : 293 |
| Release | : 2020-07-21 |
| Genre | : Computers |
| ISBN | : |
The era of artificial intelligence has arrived. You, who only felt far from artificial intelligence, and the growing dream trees, are now inseparable from artificial intelligence. What does AI have to do with me? Isn't it a distant future that has nothing to do with me, not a scientist, a technician, or a computer programmer? Well, Artificial intelligence is not a story of someone who has nothing to do with it, but the fact is, it is now everyone's story. AI is already deeply infiltrating everyone's life. The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind ourselves to take the proper medication on time. It is now necessary to look at artificial intelligence from a broader and larger perspective. You should not just hang on to complex deep learning algorithms and think only through science and technology but through the eyes of emotions and humanities. These days, elementary school students learn English and coding at school. Tomorrow's elementary school students will learn AI. Of course, not everyone needs to be an AI expert. But if you don't understand AI, you will be left out of the trend of changing times. AI comes before English and coding. This is because artificial intelligence is the language and tool of the future. This book opens your door to the most critical understanding needed of AI and other relevant disruptive technologies. Artificial intelligence will significantly change societal structures and the operations of companies. The next generation of employees needs to be trained as a workforce before entering the job market, and the existing workforce is regularly recharged and skilled. There is plenty on this for reskilling too. This is the most definitive compendium of AI, The Internet of Things, Machine Learning, Deep Learning, Data Science, Big Data, Cloud Computing, Neural networks, Robotics, the future of work and the future of intelligent industries.
| Author | : Alison Cawsey |
| Publisher | : Pearson |
| Total Pages | : 204 |
| Release | : 1998 |
| Genre | : Computers |
| ISBN | : 9780135717790 |
A concise, practical introduction to artificial intelligence, this title starts with the fundamentals of knowledge representation, inference, expert systems, natural language processing, machine learning, neural networks, agents, robots, and much more. Examples and algorithms are presented throughout, and the book includes a complete glossary.
| Author | : Enamul Haque |
| Publisher | : Enel Publications |
| Total Pages | : 304 |
| Release | : 2022-12-18 |
| Genre | : Computers |
| ISBN | : 1447805259 |
"The Ultimate Modern Guide To The Internet Of Things" is a book that explores the world of IoT and its impact on our lives and businesses. This book covers the latest technological trends, such as digital transformation, artificial intelligence, and virtual reality, and how they drive businesses to become more competitive. It highlights how the Internet of Things is the frontier of the digital revolution, improving productivity, reducing costs, and bringing new products and services to consumers. The book provides insights into how IoT is changing the way we do business, work, and communicate with each other. It explains how IoT can lead to better inventory management, manufacturing processes, and delivery times in a smart factory. It also showcases real-life examples of IoT transforming industries like healthcare and hospitality with remote diagnosis and personalised guest experiences. This book is a comprehensive guide to understanding the inside out of IoT and everything relevant to it, from connecting devices to creating human value. It covers everything from the basics of digital transformation and artificial intelligence to the complex integration and security requirements for the full implementation of IoT. Whether you're a business owner or an IoT enthusiast, this book will take you on a journey to discover the potential of the Internet of Things and how it can shape our future.
| Author | : Enamul Haque |
| Publisher | : Enel Publication |
| Total Pages | : 295 |
| Release | : 2020-07-23 |
| Genre | : Computers |
| ISBN | : |
CLOUD COMPUTING ADOPTION TO VALUE CREATING A more straightforward guide for a more competent shift Your Complete Guide to Cloud Computing and Migrating to the Cloud. This book covers the technical details of how public and private cloud technology works and the strategy, technical design, and in-depth implementation details required to migrate existing applications to the cloud. After reading this book, you will have a much better understanding of cloud technology and the steps needed to quickly reap its benefits while at the same time lowering your IT implementation risk. Written by a proven expert in cloud computing, business management, network engineering, and IT security. This is a must-read for IT management, CIOs, senior IT engineers, and program managers in the government, DoD, and commercial sectors. Table of Contents Fundamental Cloud Computing Understanding Cloud Computing Fundamental Concepts and Models Cloud-Enabling Technology Fundamental Cloud Security Cloud Computing Mechanisms Cloud Infrastructure Mechanism Specialised Cloud Mechanisms Cloud Management Mechanisms Cloud Security Mechanisms Cloud Computing Architecture Fundamental Cloud Architectures Advanced Cloud Architectures Specialise Cloud Architectures Working with Clouds Cloud Delivery Model Considerations Cost Metrics and Pricing Models Service Quality Metrics and SLAs
| Author | : Melanie Mitchell |
| Publisher | : Farrar, Straus and Giroux |
| Total Pages | : 336 |
| Release | : 2019-10-15 |
| Genre | : Computers |
| ISBN | : 0374715238 |
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
| Author | : Kartik Hosanagar |
| Publisher | : Penguin |
| Total Pages | : 274 |
| Release | : 2020-03-10 |
| Genre | : Business & Economics |
| ISBN | : 0525560904 |
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.
| Author | : Enamul Haque |
| Publisher | : Enel Publications |
| Total Pages | : 225 |
| Release | : 2022-12-19 |
| Genre | : Computers |
| ISBN | : |
This book has the most simplified explanations of Enterprise Service Management with little technical jargon. Enterprise Service Management (ESM) describes how organisations aim to maximise value creation in line with the organisation's mission. It provides a source of elegance and structure when the world becomes more chaotic, with new techniques and technology vying for our attention. In this book, we explored some key trends driving ESM adoption across industries today. These include cloud computing, DevOps workflows, AI, blockchain, metaverse and many other collaboration tools, which have become increasingly popular with IT organisations over the past few years. You will find step-by-step guidelines for streamlining your ESM journey and other corporate objectives. You will understand business disruption and digital transformation – all influencing such adoption for an enterprise to function today. The main features include setting up your ESM strategy, ESM implementation methods, ESM operating model, and future trends in ITSM. We looked into the metaverse, blockchain, ESG etc., their ways of shaping the ESM platforms, and many more features that the ESM roadmap would require.
| Author | : Michael Negnevitsky |
| Publisher | : Pearson Education |
| Total Pages | : 454 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9780321204660 |
Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
| Author | : Tom Taulli |
| Publisher | : Apress |
| Total Pages | : 195 |
| Release | : 2019-08-01 |
| Genre | : Computers |
| ISBN | : 1484250281 |
Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.
| Author | : Ian Goodfellow |
| Publisher | : MIT Press |
| Total Pages | : 801 |
| Release | : 2016-11-10 |
| Genre | : Computers |
| ISBN | : 0262337371 |
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. 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.
