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Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI Front Cover

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

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Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms Front Cover

Vectorization: A Practical Guide to Efficient Implementations of Machine Learning Algorithms

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Responsible AI in Practice: A Practical Guide to Safe and Human AI Front Cover

Responsible AI in Practice: A Practical Guide to Safe and Human AI

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Statistical Quantitative Methods in Finance: From Theory to Quantitative Portfolio Management Front Cover

Statistical Quantitative Methods in Finance: From Theory to Quantitative Portfolio Management

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Neural Networks with TensorFlow and Keras: Training, Generative Models, and Reinforcement Learning Front Cover

Neural Networks with TensorFlow and Keras: Training, Generative Models, and Reinforcement Learning

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Julia Quick Syntax Reference, 2nd Edition: A Pocket Guide for Data Science Programming Front Cover

Julia Quick Syntax Reference, 2nd Edition: A Pocket Guide for Data Science Programming

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Deep Learning Through the Prism of Tensors Front Cover

Deep Learning Through the Prism of Tensors

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Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications Front Cover

Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

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Computational Physics, 4th Edition: Problem Solving with Python Front Cover

Computational Physics, 4th Edition: Problem Solving with Python

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Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face Front Cover

Natural Language Processing on Oracle Cloud Infrastructure: Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face

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Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World Front Cover

Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

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Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models Front Cover

Building Scalable Deep Learning Pipelines on AWS: Develop, Train, and Deploy Deep Learning Models

  • Length: 760 pages
  • Publication Date: 2025-01-28
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