Designing Machine Learning Systems โ An Iterative Process for Production-Ready Applications: https://
amzn.to/46epLSi by @chipro โ ๐ฃ๐ธ๐น๐ฒ๐ฌ๐ผ:
Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing,
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Production ML Design Guide Covers Data Engineering and Business Metrics
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Neo4j Guide Combines Knowledge Graphs and Vector Search for Recommendations
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Available at https://
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An Optimization Textbook Covers Foundations Used in Machine Learning
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New release! >> โOptimization โ A Bootcamp for Machine Learning, Inverse Problems, and Controlโ Check it out at https://
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Guide Compares AI Coding Assistants and Autonomous Agent Workflows
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Code Revealed โ A practical guide to AI agents, workflows, and modern application practices: https://
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Distinguish agents from simpler AI coding assistants
Assess tool fit using capability and autonomy criteria
Structure -
Codex CLI Guide Builds Agent Workflows With MCP, Hooks and Automation
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Agentic Coding with OpenAI Codex CLI โ Build intelligent agent workflows using Agentic Engineering, MCP, hooks, and delivery automation: https://
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What Is Codex CLI?
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Transfer Learning Helps Models Adapt Using Auxiliary Data and Models
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TRANSFER LEARNING book [390 pages]: https://
amzn.to/3R4G0zm Amazon Summary:
"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to -
A Python Guide Builds Explainable Models and Debugs Bias
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Develop and Debug high-performance, low-bias, and explainable Machine Learning and Deep Learning Models with Python : https://
amzn.to/3u2JiIB by @AliMLearning via @PacktDataML โโโโโ
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An AI Optimization Playbook Covers Product Risks and Responsible Innovation
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"The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation" See it at https://
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Understanding the Perils of AI Products
Building the -
An Enterprise Generative AI Guide Covers Agent Context and Memory
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"Building Business-Ready Generative #AI Systems โ Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at https://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and -
A Python Tutorial Explains Naive Bayes Classification
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Naive Bayes Classification, explained with Python code: https://
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Learn more in this book: https://
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