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Overview: Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and Machine Learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and Reinforcement Learning where appropriate. The Naive Bayes algorithm is a supervised learning algorithm that is used to solve classification problems and is based on Bayes’ theorem. It is one of the simplest and most effective classification algorithms, assisting in the development of fast Machine Learning models which are capable of making quick predictions. Python will be used during coding in this book due to its popularity in AI and IoT platforms. To do AI/ML analytics on the data, specific supporting libraries like NumPy, Pandas, SciPy, Keras, and TensorFlow will be required. We’ll be using Seaborn and Matplotlib for visualisation.
Genre: Non-Fiction > Tech & Devices
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