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Alberto Artasanchez, Prateek Joshi - Artificial Intelligence with Python [2020, PDF, ENG] torrent


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Download Alberto Artasanchez, Prateek Joshi - Artificial Intelligence with Python [2020, PDF, ENG] torrent




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Книги и журналы » Компьютерная литература » Программирование (книги)

Artificial Intelligence with Python

Год издания: 2020
Автор: Alberto Artasanchez, Prateek Joshi

Издательство: Packt
ISBN: 978-1-83921-953-5
Язык: Английский

Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 619

Описание: Artificial 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 and TensorFlow 2. 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.
[spoiler="Примеры страниц"]

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[spoiler="Оглавление"]
Preface xi
Chapter 1: Introduction to Artificial Intelligence 1
Chapter 2: Fundamental Use Cases for Artificial Intelligence 23
Chapter 3: Machine Learning Pipelines 49
Chapter 4: Feature Selection and Feature Engineering 67
Chapter 5: Classification and Regression Using Supervised Learning 93
Chapter 6: Predictive Analytics with Ensemble Learning 125
Chapter 7: Detecting Patterns with Unsupervised Learning 153
Chapter 8: Building Recommender Systems 179
Chapter 9: Logic Programming 201
Chapter 10: Heuristic Search Techniques 221
Chapter 11: Genetic Algorithms and Genetic Programming 247
Chapter 12: Artificial Intelligence on the Cloud 281
Chapter 13: Building Games with Artificial Intelligence 309
Chapter 14: Building a Speech Recognizer 329
Chapter 15: Natural Language Processing 351
Chapter 16: Chatbots 379
Chapter 17: Sequential Data and Time Series Analysis 403
Chapter 18: Image Recognition 433
Chapter 19: Neural Networks 469
Chapter 20: Deep Learning with Convolutional Neural Networks 499
Chapter 21: Recurrent Neural Networks and Other Deep Learning Models 523
Chapter 22: Creating Intelligent Agents with
Chapter 23: Artificial Intelligence and Big Data 555
Other Books You May Enjoy 577
Index 581
[/spoiler]

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