Download or read book A Beginner s Guide to Informatics and Artificial Intelligence written by Wei Weng and published by Springer Nature. This book was released on with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence written by Blay Whitby and published by Ellis Horwood. This book was released on 1988 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: Addresses controversial issues that have been raised by the emergence and growth of artificial intelligence, providing discussion of the effects of funding from military sources, legal aspects of AI, the effect of AI in the workplace, and the Code for Professional Conduct for AI workers. Acidic paper. Annotation copyrighted by Book News, Inc., Portland, OR

Download or read book A Beginner s Guide to Informatics and Artificial Intelligence written by Wei Weng and published by Springer. This book was released on 2024-06-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a transformative learning journey with this book, a concise and engaging short course for those taking their first steps into the realms of information science and AI. Ideal for undergraduates, graduates, and professionals, this book lays a sturdy foundation upon which readers can build whether their aim is to undertake research projects, pursue a career in technology, or simply understand the workings of the digital age. The learning objectives are: * Foundational understanding: Build a sturdy foundation by introducing basic concepts and gradually progressing to advanced topics. * Practical problem-solving: Foster the ability to solve real-world problems through guided exercises and application-oriented learning. * Holistic knowledge: Provide a holistic understanding of information science and AI, empowering learners to contribute meaningfully to the future of these disciplines. The key features are: * Comprehensive coverage: Explore computer science basics to advanced AI techniques for a holistic understanding of the field. * Engaging writing style: Complex concepts made approachable for beginners without sacrificing depth. * Bridging theory with application: Real-world scenarios illustrate and encourage practical applications. * Practical exercises: Guided hands-on exercises develop problem-solving skills, ensuring a practical understanding of the material. * Enriched learning experience: Vivid examples, flowcharts, and interactive elements bring concepts to life. E-lectures of the book "Informatics and Artificial Intelligence for Beginners I & II" will be released on Springer Video soon to further enhance the learning experience.

Download or read book Artificial Intelligence written by Blay Whitby and published by Simon and Schuster. This book was released on 2012-12-01 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tomorrow begins right here as we embark on an enthralling and jargon-free journey into the world of computers and the inner recesses of the human mind. Readers encounter everything from the nanotechnology used to make insect-like robots, to the computers that perform surgery and, reminiscent of films like Terminator, computers that can learn by teaching themselves. Assuming no technical expertise whatsoever, author Blay Whitby steers a careful course through this futuristic world, revealing the pervasive impact of AI on our daily lives, in addition to discovering the biggest controversies to dog this fascinating field.

Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Beginner s Guide to Information Technology written by Garry J. Marshall and published by . This book was released on 1984 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Learning and Its Application written by Indranath Chatterjee and published by . This book was released on 2021-12-22 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.

Download or read book Machine Learning for Beginners Guide to Understand Machine Learning written by Matthew Kinsey and published by Machine Learning, Neural Netwo. This book was released on 2018-09-28 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Ultimate Guide To Understand Machine Learning Today only, get this Amazon bestseller for just $0.99. Regularly priced at $4.99. Read on your PC, Mac, smartphone, tablet or Kindle device.Machine learning business could be your best chance as an IT professional. This is a region in the computer world that requires specialized skills to navigate through and is an integral part of most activities happening around the world. Machine learning is a method of data analysis that incorporates the use of algorithms that have the capabilities to learn from the data and bring about certain outcomes without the need for programming to produce such results. The algorithms are in a position to analyze the data, make a calculation of the frequency at which parts of the data are utilized and produce results from the calculations with an objective of interacting with users automatically.Through machine learning, intelligent systems can be built. The core dependents include data, algorithms, automation, iteration, scalability, and modeling. Being an application of artificial intelligence, a branch of computer science, machine learning is a trending subject that is aimed at revolutionizing the world. Read on to learn more. Here Is A Preview Of What You'll Learn... The Details Of Machine Learning Problems Associated With Machine Learning Areas In Which Machine Learning Can Be Applied Information About Neural Networks The Types Of Neural Networks The Association And Application Of Neural Networks In Different Areas Like Artificial Intelligence, Deep Learning And Technical Fields And much, much more! Download your copy today!Take action today to learn not only about machine learning but about technology that will shape our future! downDownload this book for a limited time discount of only $0.99!Tags: Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning, Programming

Download or read book Artificial Intelligence written by Neil Wilkins and published by . This book was released on 2019-07-20 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars? What kind of impact will smart machines have on society and the future of human jobs?

Download or read book Artificial Intelligence written by John Adamssen and published by Efalon Acies. This book was released on 2020-08-03 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this guide, you will learn about all the basics of artificial intelligence. You’ll learn what it is, how it works, and where it came from (or, in other words, how it all started). Aside from that, we’ll dive into some data analytics and examples of artificial intelligence. We’ll cover several steps in the analytical process, and see what it takes for artificial intelligence to be effective. Last but not least, safety and privacy issues will be brought to light, since today’s age is full of hacking, spying, and theft. Therefore, it is mandatory that these devices and systems are kept safe and secure. If any of these topics interest you, then I encourage you to pick up this digital book and start reading or listening to the audio version.

Download or read book Introduction to Artificial Intelligence written by Simplilearn and published by IndraStra Global. This book was released on 2020-12-14 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This AI beginner’s guide aims to take the readers through the current AI landscape, provides the key fundamentals and terminologies of AI, and offers practical guidelines on why and how you can be a part of the AI revolution, and also the ways in which you can scale up your AI career.

Download or read book Python written by Denis Rothman and published by . This book was released on 2018-12-21 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop real-world applications powered by the latest advances in intelligent systems Key Features Gain real-world contextualization using deep learning problems concerning research and application Get to know the best practices to improve and optimize your machine learning systems and algorithms Design and implement machine intelligence using real-world AI-based examples Book Description This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You will learn to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open-source Python libraries. Throughout the Learning Path, you'll learn how to develop deep learning applications for machine learning systems. Discover how to attain deep learning programming on GPU in a distributed way. By the end of this Learning Path, you know the fundamentals of AI and have worked through a number of case studies that will help you apply your skills to real-world projects. This Learning Path includes content from the following Packt products: Artificial Intelligence By Example by Denis Rothman Python Deep Learning Projects by Matthew Lamons, Rahul Kumar, and Abhishek Nagaraja Hands-On Artificial Intelligence with TensorFlow by Amir Ziai, Ankit Dixit What you will learn Use adaptive thinking to solve real-life AI case studies Rise beyond being a modern-day factory code worker Understand future AI solutions and adapt quickly to them Master deep neural network implementation using TensorFlow Predict continuous target outcomes using regression analysis Dive deep into textual and social media data using sentiment analysis Who this book is for This Learning Path is for anyone who wants to understand the fundamentals of Artificial Intelligence and implement it practically by devising smart solutions. You will learn to extend your machine learning and deep learning knowledge by creating practical AI smart solutions. Prior experience with Python and statistical knowledge is essential to make the most out of this Learning Path.

Download or read book Artificial Intelligence for Beginner s written by Maximus Wilson and published by Adidas Wilson . This book was released on 2023-03-27 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Artificial Intelligence for Beginner's - A Comprehensive Guide" is an informative and accessible introduction to the field of AI. Written with beginners in mind, this guide covers everything you need to know about AI, from its history and basic concepts to its practical applications in modern society. Starting with an overview of AI and its origins, the book covers the fundamental concepts that form the basis of AI, including machine learning, neural networks, and natural language processing. It also explores the ethical considerations and potential risks of AI technology. The guide also provides practical examples of AI in action, including its use in healthcare, finance, and self-driving cars. It explains how AI is transforming industries and creating new opportunities for businesses and individuals alike. Whether you are a student, professional, or simply curious about the world of AI, this guide will provide you with a solid foundation in the field. With its clear explanations, real-world examples, and practical advice, "Artificial Intelligence for Beginner's - A Comprehensive Guide" is the perfect starting point for anyone interested in learning about this exciting and rapidly evolving field.

Download or read book Artificial Intelligence and Automation written by Anthony Lewis and published by Tandem Value Ltd. This book was released on 2022-06-06 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Artificial Intelligence (AI), is experiencing a surge in interest across almost all sectors of the global economy, offering breakthroughs in many areas previously beyond the capabilities of traditional approaches to computing. The rise of Tech companies has increased awareness in the public conscience through consumer applications like Amazon’s Alexa, Google’s Translate, and Uber’s self-driving cars. As AI and Automation are estimated to be $15.7 trillion to the global economy by 2030, understanding the benefits and limitations of this technology will be the key for businesses that want to survive and prosper. Part of the Tandem Value beginner series, this book aims to provide a framework and practical questions for non-technical decision makers thinking about employing AI and Autonomy. This book has been designed as a beginners guide, breaking key concepts down into a series of easily digestible chunks that cover the individual building blocks of AI and Autonomy. The book covers 9 key building blocks including; Core Elements of AI Data Element Algorithms Element Platforms Element Integration Element Critical factors for success Advantage Consent Confidence Cross-cutting enablers Enterprise Expertise

Download or read book Machine Learning written by Oliver Tensor and published by Charlie Creative Lab Limited Publisher. This book was released on 2021-01-20 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get this book with 55% discount !! Do you want to learn the progress made in the web marketing space and how you can exploit it for your marketing strategies? Do you want to gain an edge over your business's competitors?If you want to know How Machine Learning and Artificial Intelligence Technology can give your business a major performance boost, then keep reading. The Fourth Industrial Revolution is upon us, led by the Artificial Intelligence technology and setting the humankind for a global social transformation. The powerful applications of AI have already transformed our daily lives. Tools such as virtual personal and home assistants (like Siri in Apple Pods and Alexa in Amazon Echo) have become everyday usage products. Moreover, our digital lives have inundated organizations with astronomical volumes of data with hidden treasures of valuable insights. This information can be uncovered with the use of big data analytics and applied in combination with the Artificial Intelligence technology to increase your business performance efficiency. Learning to incorporate the Artificial Intelligence applications, Machine Learning, and Big Data Analytics in line with your company's domain can only give your business positive results. Machine Learning: The Definive Guide includes 3 books - Machine Learning for Beginners- Artificial Intelligence Business Applications- Artificial Intelligence and Machine Learning for Business Our aim with this book is to provide you a 360 view of the fundamentals and importance of Machine Learning and Artificial Intelligence Technology. You Will Learn: The Fundamentals of Artificial Intelligence and Machine Learning Applications, and Why are They so Important in the World Today. Gain an In-depth Understanding of 12 of the Most Popular Artificial Intelligence Tools in the Market, in an Easy to Understand and Colloquial Language. The Science of Big Data and How Companies are Increasingly Employing Good Analytical Tools to Makes Sense of an Estimated 1.7 MB of Data that will be Generated per Second per Person by 2020. What Different Types of Machine Learning Algorithms are and How They Work to Make Machines Able to Learn and Train themselves with Repeated Use. Even if you are a beginner, you will be armed to make sound personal and professional technological choices.

Download or read book AI FOR ABSOLUTE BEGINNERS written by Oliver Theobald and published by Packt Publishing Ltd. This book was released on 2024 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Learning for Beginners written by Oscar Scratch and published by Independently Published. This book was released on 2019-09-26 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Buy the paperback version of this book and get the kindle book for free" Did you hear about machine learning but don't know exactly what it is? Have you ever wondered how some technological tools like search engines, GPS or translate work? Would you like to have access to this information quickly and easily? MACHINE LEARNING FOR BEGINNERS is the ultimate guide to knowing about how the progress works in our world. It is simplifying the way we live, work, travel and communicate. Now artificial intelligence is not simple imagination, but it's reality. In this guide for beginners you will understand how Machine Learning, Artificial Intelligence and Big Data works in our lives and how we are in contact every day with it. An introduction to machine learning How does machine learning works? Acquire knowledge about Big data and Artificial Intelligence ·How giant companies like Amazon, Netflix, Facebook and more are using Machine Learning How Python algorithms can help you with Machine Learning Easy techniques and tools for your business Practical examples and vocabulary technical words Even if you are not a technology expert, you can learn simple strategies and fundamentals for Machine Learning right after reading this book. *** Scroll up and click the BUY NOW button! ***