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<li>Format:Paperback</li><li>Publication Date: 2022-02-07</li>

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Autonomous Enterprise: Powered by AI (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2020-12-05</li>

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Python Machine Learning For Beginners 2021 : A Comprehensive Guide To Master the Basics of Python Programming And Understand How It Works, How Is Correlated To Artificial Intelligence And Deep Learning (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2022-11-08</li>

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Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2022-02-25</li>

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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2021-12-21</li>

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Deep Learning with Python, Second Edition (Paperback)

9781491962299. Pre-Owned: Good condition. Trade paperback. Language: English. Pages: 572. Trade paperback (US). Glued binding. 572 p. Through a series of recent breakthroughs, deep learning has

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Pre-Owned Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and (Paperback 9781491962299) by Aurlien Gron

<li>Format:Paperback</li><li>Publication Date: 2022-01-19</li>

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Grokking Machine Learning (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2015-09-23</li>

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Python Machine Learning: Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics (Paperback)

<li>Format:Hardcover</li><li>Publication Date: 2023-03-08</li>

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Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R (Hardcover)

<li>Format:Paperback</li><li>Publication Date: 2022-05-31</li>

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Inside Deep Learning : Math, Algorithms, Models (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2020-03-31</li>

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Machine Learning with R, the tidyverse, and mlr (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2024-03-26</li>

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Math and Architectures of Deep Learning (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2023-12-22</li>

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Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other LLMs (Paperback)

Pre-Owned - GUIDE TO NETWORKING ESSENTIALS provides students with both the knowledge and hands-on skills necessary to work with network operating systems in a network administration environment. By

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Pre-Owned,  Guide to Networking Essentials, (Paperback)

<li>Format:Hardcover</li><li>Publication Date: 2023-11-21</li>

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Generative AI for Leaders (Hardcover)

<li>Format:Hardcover</li><li>Publication Date: 2003-09-25</li>

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Information Theory, Inference and Learning Algorithms (Hardcover)

<li>Format:Paperback</li><li>Publication Date: 2022-03-25</li>

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Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 (

<li>Format:Paperback</li><li>Publication Date: 2019-10-29</li>

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Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications (Paperback)

<li>Format:Hardcover</li><li>Publication Date: 2021-10-01</li>

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Deep Learning for Eeg-Based Brain-Computer Interfaces: Representations, Algorithms and Applications (Hardcover)

9780131038059. Pre-Owned: Good condition. Hard cover. Language: English. Pages: 932. Sewn binding. Cloth over boards. 932 p. Prentice Hall Series in Artificial Intelligence. This is an introduction to

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Pre-Owned Artificial Intelligence: Modern Approach (Hardcover 9780131038059) by Stuart J Russell, Peter Norvig

<li>Format:Paperback</li><li>Publication Date: 2022-10-06</li>

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Deep Learning with TensorFlow and Keras - Third Edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2019-01-25</li>

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Grokking Deep Learning (Edition 1) (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2021-06-15</li>

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Learning Tensorflow.Js: Powerful Machine Learning in JavaScript (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2021-08-17</li>

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Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using Tensorflow (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2020-09-01</li>

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Grokking Artificial Intelligence Algorithms : Understand and apply the core algorithms of deep learning and artificial intelligence in this friendly illustrated guide including exercises and examples (Paperback)

<li>Format:Hardcover</li><li>Publication Date: 2019-11-05</li>

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You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

<li>Format:Paperback</li><li>Publication Date: 2019-10-08</li>

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Machine Learning Pocket Reference: Working with Structured Data in Python (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2022-12-08</li>

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Scary Smart: The Future of Artificial Intelligence and How You Can Save (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2019-10-22</li>

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Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow

<li>Format:Paperback</li><li>Publication Date: 2018-02-13</li>

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The Master Algorithm : How the Quest for the Ultimate Learning Machine Will Remake Our World (Paperback)

<li>Format:Paperback</li><li>Publication Date: 2019-09-06</li>

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Python for Data Analytics: Python for Data Analytics : A Beginners Guide for Learning Python Data Analytics from A-Z (Series #1) (Paperback)

Neural Networks in C++ An Object-Oriented Framework for Building Connectionist Systems Extremely useful, this valuable guide concentrates on the practical side of building neural network applications.

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Pre-Owned Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems (Paperback) 0471552011 9780471552017

There is a deep desire in men, in order to reproduce intelligence and place it in a machine. Neural Networks are an attempt to reproduce the synaptic connections of our brain in a computer.

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Understanding 99% of Artificial Neural Networks: Introduction & Tricks (Paperback - Used) 0595219969 9780595219964

The complete, independent NET briefing for every developer and technical manager, this volume is clear, concise, jargon-free, and accessible--without compromising accuracy or thoroughness. It covers

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Pre-Owned Understanding .Net: A Tutorial and Analysis (Paperback) 0201741628 9780201741629

-How to Build a Mind: Toward Machines with Imagination-Hardcover
-0231120125
-CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels

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Pre-Owned How to Build a Mind: Toward Machines with Imagination (Hardcover) 0231120125 9780231120128

Have neural networks emerged from research? Is this the time to develop applications? *A Practical Guide To Neural Nets is a quick, thorough introduction for technical professionals and managers.

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A Practical Guide to Neural Networks (Hardcover - Used) 0201523760 9780201523768

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not

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Pre-Owned Neural Computing Architectures (Hardcover) 0262011107 9780262011105

<li>Title: Neural Computing: Theory and Practice</li><li>ISBN10: 0442207433</li><li>EAN: 9780442207434</li><li>Genre: COMPUTERS / Neural Networks</li><li>Author: Wasserman, Philip</li><li>CONDITION -</li>

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Pre-Owned Neural Computing: Theory and Practice (Hardcover) 0442207433 9780442207434

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Pre-Owned Neural Network Learning and Expert Systems (Hardcover) 0262071452 9780262071451

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Pre-Owned Neurocomputing: The Technology of Non-Algorithmic Information Processing (Hardcover) 0201093553 9780201093551

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