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Artificial Intelligence with Python - Your complete guide to building intelligent apps using Python 3.x, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R1,391
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Artificial Intelligence with Python - Your complete guide to building intelligent apps using Python 3.x, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 18 - 22 working days
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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 Features Completely 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 chatbots Book 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 learn Understand 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 data Who 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.
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