Deep Learning with Python, Second Edition
Francois Chollet
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Grokking Deep Reinforcement Learning
Miguel Morales
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Just Enough R! : An Interactive Approach to Machine Learning and Analytics
Richard J. Roiger
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Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Magnus Ekman
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Programming Machine Learning : From Coding to Deep Learning
Paolo Perrotta
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AI by Design : A Plan for Living with Artificial Intelligence
Catriona Campbell
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Just Enough R! : An Interactive Approach to Machine Learning and Analytics
Richard J. Roiger
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Learning TensorFlow : A Guide to Building Deep Learning Systems
Tom Hope
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Learning TensorFlow : A Guide to Building Deep Learning Systems
Tom Hope
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TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning
Bharath Ramsundar
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TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning
Bharath Ramsundar
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Building Machine Learning Pipelines
Hannes Hapke
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Genetic Algorithms and Machine Learning for Programmers : Create AI Models and Evolve Solutions
Frances Buontempo
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Responsible Graph Neural Networks
Mohamed Abdel-Basset
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Responsible Graph Neural Networks
Mohamed Abdel-Basset
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PyTorch Cookbook : 100+ Solutions across RNNs, CNNs, python tools, distributed training and graph networks
Matthew Rosch
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TensorFlow Developer Certification Guide : Crack Google's official exam on getting skilled with managing production-grade ML models
Patrick J
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Windows 2000 Server System Administration Handbook
Syngress
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Linux Networking Clearly Explained
Bryan Pfaffenberger
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Microsoft .NET : Jumpstart for Systems Administrators and Developers
Nigel Stanley
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Linux and OpenVMS Interoperability : Tricks for Old Dogs, New Dogs and Hot Dogs with Open Systems
John Robert Wisniewski
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