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Overview: Curious about AI but feeling lost at the same time? Well, look no further! AI for Absolute Beginners is your guide to demystifying complex AI concepts and providing you with a solid foundation to step into and stay ahead in the new AI era. In this accessible and comprehensive book, we start from scratch, assuming no prior knowledge. Each chapter is carefully crafted to guide you through the fundamental concepts and practical applications of AI, including Machine Learning, generative AI, and Deep Learning. With clear and plain English explanations, you’ll be surprised at how quickly you can start thinking and speaking fluently in the words and mindset of an AI expert! From self-driving cars to large language models, the ability of Deep Learning to learn from raw data and process large datasets has dramatically broadened the use cases for Artificial Intelligence (AI). However, like all technologies, Deep Learning has its own unique limitations and challenges that we will examine in this chapter. Before we dive in, it’s important to explain the connection between Deep Learning and Machine Learning. Machine Learning, as discussed, involves algorithms and models that improve with experience and exposure to data. As a subfield of Machine Learning, Deep Learning takes the foundational principles of Machine Learning and applies its own techniques to even larger and more complex datasets. This involves the use of artificial neural networks with deep and multiple layers stacked together to form a model.
Genre: Non-Fiction > Tech & Devices
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