Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry(Paperback / softback)

Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry(Paperback / softback)

The Era of Artificial Intelligence and Machine Learning in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and

Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Gilliland Michael)(Pevná vazba)

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data (Patel Ankur A.)(Paperback)

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the

Advances in Robotics and Artificial Intelligence (Jackson Tom)(Paperback / softback)

The reality of autonomous machines with artificial intelligence is becoming more real every day. The ability of machines to think and learn fascinates everyone, but now even the most reluctant readers have a chance to engage in learning about the history and future of

Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence (Lane Dale)(Paperback)

A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides you through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or

Artificial Intelligence (WIRED guides) - How Machine Learning Will Shape the Next Decade (Burgess Matthew)(Paperback / softback)

The past decade has witnessed extraordinary advances in artificial intelligence. He looks at the ways in which it has already brought us everything from voice recognition software to self-driving cars, and explores its potential for further revolutionary change in almost every area of our daily

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python (Tatsat Hariom)(Paperback)

Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies

Artificial Intelligence in Finance: A Python-Based Guide (Hilpisch Yves)(Paperback)

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll

Grokking Artificial Intelligence Algorithms: Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Il (Hurbans Rishal)(Paperback)

Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory

Data Mining and Machine Learning: Fundamental Concepts and Algorithms (Zaki Mohammed J.)(Pevná vazba)

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and

MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence (Kim Phil)(Paperback)

1. Machine Learning2. Neural Network3. Training of Multi-Layer Neural Network4. Neural Network and Classification5. Deep Learning6. Convolutional Neural

Inhuman Power: Artificial Intelligence and the Future of Capitalism (Dyer-Witheford Nick)(Paperback)

Artificial Intelligence (AI) has seen major advances in recent years. While machines were always central to the Marxist analysis of capitalism, AI is a new kind of machine that Marx could not have anticipated. Contemporary machine-learning AI allows machines to increasingly approach human

Machine Learning in the Oil and Gas Industry: Including Geosciences, Reservoir Engineering, and Production Engineering with Python (Pandey Yogendra Narayan)(Paperback)

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of

Artificial Intelligence for Fashion: How AI Is Revolutionizing the Fashion Industry (Luce Leanne)(Paperback)

Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book

In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future (Hilbush Brian S.)(Paperback)

Learn how AI and data science are upending the worlds of biology and medicine In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech

AI in the Wild: Sustainability in the Age of Artificial Intelligence (Dauvergne Peter)(Paperback)

Examining the potential benefits and risks of using artificial intelligence to advance global sustainability.Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, Global Edition (Sharda Ramesh)(Paperback / softback)

Artificial Whiteness: Politics and Ideology in Artificial Intelligence (Katz Yarden)(Paperback)

Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI's transformative potential keep

Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics (Little Max A.)(Pevná vazba)

This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a

Internet of Things: What You Need to Know about Iot, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecur (Wilkins Neil)(Paperback)

If you want to learn about the Internet of Things, then keep reading... You were just woken up in the middle of the night by smart lightbulbs in your house blasting at full power for no reason. Your bleary-eyed investigation shows they tried to download a firmware update and failed. At that moment,

The Department of Defense Posture for Artificial Intelligence: Assessment and Recommendations (Tarraf Danielle C.)(Paperback)

In this report, the authors assess the state of artificial intelligence (AI) relevant to DoD and address misconceptions about it; conduct an independent and introspective assessment of the Department of Defense's posture in AI; and put forth a set of recommendations for internal actions, external

Artificial Intelligence: A Very Short Introduction (Boden Margaret A.)(Paperback)

The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and -- not least -- on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand

Society of Mind (Minsky Marvin)(Paperback)

Marvin Minsky -- one of the fathers of computer science and cofounder of the Artificial Intelligence Laboratory at MIT -- gives a revolutionary answer to the age-old question: 'How does the mind work?' Minsky brilliantly portrays the mind as a 'society' of tiny components that are themselves

Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks (Villalobos Alva Jalil)(Paperback)

Enhance your data science programming and analysis with the Wolfram programming language and Mathematica, an applied mathematical tools suite. The book will introduce you to the Wolfram programming language and its syntax, as well as the structure of Mathematica and its advantages and