Interpretable Machine Learning: A Guide For Making Black Box Models Explainable
- Length: 328 pages
- Publication Date: 2022-02-28
Data Independence: Reclaiming Privacy in an Era of Evolving Tech
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- Publication Date: 2024-11-07
Python for Accounting and Finance, 2nd Edition: An Integrative Approach to Using Python for Research
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- Publication Date: 2024-07-28
Modeling Mindsets: The Many Cultures Of Learning From Data
- Length: 113 pages
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Machine Learning with Noisy Labels: Definitions, Theory, Techniques and Solutions
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MLOps Architecture for LLMs: A Complete Guide to Optimizing the Machine Learning Pipeline for Large Language Models
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- Publication Date: 2024-01-04
Hands-On Rust for AI: A Beginner’s Guide to Building Smart and Efficient Machine Learning Applications
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- Publication Date: 2024-04-17
Building AI Applications with Microsoft Semantic Kernel: Easily integrate generative AI capabilities and copilot experiences into your applications
- Length: 252 pages
- Publication Date: 2024-06-21
Ethics in Online AI-Based Systems: Risks and Opportunities in Current Technological Trends
- Length: 424 pages
- Publication Date: 2024-04-19