@kirkdborne

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04 April 2026 6h29

Build Passive Income with AI – No Code? No Budget? No Problem! You can do this. http://
amzn.to/4rLWfhI

Illustrated Guide to Neural Networks and AI with PyTorch Examples

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04 April 2026 6h29

Illustrated Guide to Neural Networks and AI — With hands-on examples in PyTorch: http://
amzn.to/4tdA2dc

Feature Engineering for Modern Machine Learning with Scikit-Learn

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04 April 2026 6h28

Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications (Advanced Data Analysis Series) Available at http://
amzn.to/4dJAxav

Platform and Model Design for Responsible AI Systems

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04 April 2026 6h27

Platform and Model Design for Responsible AI — Design and build resilient, private, fair, and transparent machine learning models: http://
amzn.to/3PToSvP

Machine Learning Platform Engineering and System Design Resources

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04 April 2026 6h26

Machine Learning Platform Engineering: http://
amzn.to/4uU2Lpj Machine Learning System Design: http://
amzn.to/4lRrkim

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models

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04 April 2026 6h26

Machine Learning and Artificial Intelligence: Concepts, Algorithms and Models Available at http://
amzn.to/4v0rzw2

Building AI Agents with LLMs RAG Knowledge Graphs

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04 April 2026 6h25

"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML

Classic Text on Outlier Detection in Temporal Data Streams

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04 April 2026 6h25

Classic text on Outlier Detection in Temporal Data: http://
amzn.to/2NZ64cQ … including financial, business, medical, credit, sensor network (IoT / IIoT) time series data streams, plus spatiotemporal data, network data, etc.

Analytical Skills for AI and Data Science in Enterprise

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04 April 2026 6h24

Analytical Skills for AI and Data Science — Building Skills for an AI-Driven Enterprise: http://
amzn.to/4b6fufu …helps practitioners to create value from AI and data science using an analytical skillset — each chapter illustrates how each skill works across a collection of use