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Mathematics of Quantum Computing: An Introduction Front Cover

Mathematics of Quantum Computing: An Introduction

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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition Front Cover

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition

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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications Front Cover

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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Applied Machine Learning and AI for Engineers: Solve Business Problems That Can’t Be Solved Algorithmically Front Cover

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can’t Be Solved Algorithmically

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AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning Front Cover

AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

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A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python Front Cover

A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python

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Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps Front Cover

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AI Engineering: Building Applications with Foundation Models Front Cover

AI Engineering: Building Applications with Foundation Models

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Statistical Outliers and Related Topics Front Cover

Statistical Outliers and Related Topics

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Hands-On Generative AI with Transformers and Diffusion Models Front Cover

Hands-On Generative AI with Transformers and Diffusion Models

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The Machine Learning Solutions Architect Handbook, 2nd Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI Front Cover

The Machine Learning Solutions Architect Handbook, 2nd Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI

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Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making Front Cover

Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making

  • Length: 382 pages
  • Publication Date: 2024-11-29
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