Book : Artificial Intelligence With Python Your Complete...

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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 FeaturesCompletely updated and revised to Python 3.x New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook DescriptionArtificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.What you will learnUnderstand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series dataWho this book is forThe intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.Table of ContentsIntroduction to Artificial IntelligenceFundamental Use Cases for Artificial IntelligenceMachine Learning PipelinesFeature Selection and Feature EngineeringClassification and Regression Using Supervised LearningPredictive Analytics with Ensemble LearningDetecting Patterns with Unsupervised LearningBuilding Recommender SystemsLogic ProgrammingHeuristic Search TechniquesGenetic Algorithms and Genetic ProgrammingArtificial Intelligence on the CloudBuilding Games with Artificial IntelligenceBuilding a Speech RecognizerNatural Language ProcessingChatbotsSequential Data and Time Series AnalysisImage RecognitionNeural NetworksDeep Learning with Convolutional Neural NetworksRecurrent Neural Networks and Other Deep Learning ModelsCreating Intelligent Agents with Reinforcement LearningArtificial Intelligence and Big Data Review This new edition of Artificial Intelligence with Python is an excellent book that provides you with different AI use cases from beginner to expert level. This book is for anyone who wants to know how AI is revolutionizing and changing the face of industries. I highly recommend this book. --Shail Jain, Global Managing Director, Data & AI at AccentureA practical guide for anyone who aims to leverage AI projects with the Python language. The book is a real page-turner and simply a must-read for all. --Kate Strachnyi, Founder at Story by Data and DATAcated Academy, Author of The Disruptors: Data Science Leaders, and LinkedIn Top VoiceArtificial Intelligence with Python Second Edition is a complete book in
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