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- Industry
- Geography
One of the most often used buzzwords in technology today is Artificial Intelligence. We're learning more and more about how computers can mimic human thought processes and even complete jobs that were once thought to be too tough for robots to complete thanks to innovations like Siri and Alexa.
In a world where robots are getting cleverer by the day, this book is all about how humans and artificial intelligence can coexist. According to Russell, we may do this by reconsidering how we approach AI systems. One of his recommendations is to create computers that are unsure about human preferences, making them submissive and determined to put the interests of humans before their own.
This beautifully illustrated book provides a simple introduction to the main neural network learning techniques, followed by in-depth mathematical studies. We address modern deep neural networks as well as historically noteworthy neural networks (like perceptrons) (e.g. generative adversarial networks). Online computer programs constructed from open-source repositories are utilized to provide students with hands-on experience with neural networks, and PowerPoint slides are also used to improve training. An accessible introduction to algorithmic engines of contemporary artificial intelligence includes a thorough lexicon, educational supplements (such as Bayes' theorem), and a list of additional readings.
This book explores the significance of AI in healthcare, how it is altering every aspect of healthcare, and leads you through current and upcoming AI applications in healthcare, including some that are now being developed. Moreover, it discusses the ethical issues surrounding AI in healthcare, the fundamentals of AI and how they function, the crucial place AI plays in all major medical specialties, and the roles start-ups and corporate companies play in AI in healthcare.
Matt Turck, an investor at FirstMark Capital who focuses on generative AI, believes that "The Master Algorithm" is still relevant today and is a great introduction to the field. "Just one of those rare books that are approachable, compelling to read, and technically correct," he said. "It's a book that was sort of ahead of its time in terms of thinking through the issues."
The first edition of Artificial Intelligence approaches problem-solving from the bottom up by exploring the fundamental methodologies and concentrating primarily on the intelligence component. The book discusses both conventional and contemporary methods of solving the issue, including Tabu Search and Beam Search. The book is enjoyable to read due to the theories' straightforward explanations and the number of examples, images, and commentary.
