AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python 1838645357, 9781838645359

Artificial Intelligence: Reinforcement Learning in Python: Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning

When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning. T

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Deep Learning With Python : A Crash Course to Deep Learning with illustrations in Python Programming Language

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Python Programming: The Crash Course for Python Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners

Make professional drawings in AutoCAD: 2D practice drawings; 3D practice drawings. Make a floor plan from a blank drawin

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Python Machine Learning: The Complete Guide to Understand Python Machine Learning for Beginners and Artificial Intelligence

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Python AI Programming: Navigating fundamentals of ML, deep learning, NLP, and reinforcement learning in practice 9788119177639

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Deep Reinforcement Learning: Frontiers of Artificial Intelligence 9811382859, 9789811382857

This book starts by presenting the basics of reinforcement learning using highly intuitive and easy-to-understand exampl

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AI, Machine Learning and Deep Learning 9781032034041, 9781032034058, 9781003187158, 1032034041

Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in informa

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python 1801819319, 9781801819312

This book from the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine a

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Artificial Intelligence, IOT and machine Learning : AI programs using Python A Beginners book

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Machine Learning with Python: Design and Develop Machine Learning and Deep Learning Technique using real world code examples 9789386551931

Develop and Implement your own Machine Learning Models to solve real world problems Key Features ● Introduction to Mach

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