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Updated to Python 3.10 for the latest AI tools and libraries
Seven new chapters on AI on the cloud, RNNs, deep learning models, and chatbots for advanced learning
Comprehensive coverage of machine learning pipelines, feature selection, and supervised/unsupervised learning
Real-world use cases and step-by-step code examples for practical application
Suitable for Python developers with basic programming experience and an understanding of machine learning concepts
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Report copyright infringement by Alberto Artasanchez (Author), Prateek Joshi (Author)
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key Features: