Kirk Borne

Founder of @LeadershipData. Global Speaker. Top B2B influencer & social promoter of Data Science AI ML. PhD Astrophysics @Caltech

[Kirk Borne @KirkDBorne]

Incredible limited-time offer from @PacktPublishing on their Agentic AI (and beyond) new and best-selling books — DISCOUNTED now @ 20-30% OFF.

See this catalog of choices: https://t.co/xttyz4BdEn via @PacktDataML

[Kirk Borne @KirkDBorne]

“Trading is Math: The Formulas for Profitable Trading in Any Market” at https://t.co/P9JMqAP4Ih

[Kirk Borne @KirkDBorne]

Investing for Programmers — Understanding markets through data and code: https://t.co/lyvAUxYUrS

[Kirk Borne @KirkDBorne]

MATHEMATICS FOR AI AND MACHINE LEARNING — Comprehensive Mathematical Reference for Artificial Intelligence and Machine Learning: https://t.co/6ogZ8rl0Gt
(595 pages)

[Kirk Borne @KirkDBorne]

Agentic AI for Cybersecurity — Building Autonomous Defenders and Adversaries: https://t.co/e6XEu08kXV

[Kirk Borne @KirkDBorne]

AI Networking Cookbook — Practical recipes for AI-assisted network automation and development: https://t.co/Mfilks0EcL via @PacktPublishing @PacktDataML

[Kirk Borne @KirkDBorne]

Build AI Agents for Network Operations — Design LLM-powered NetOps workflows with Python, Ollama, MCP, and tool calling: https://t.co/5Yw3PUixNu

New release from @PacktPublishing @PacktDataML

[Kirk Borne @KirkDBorne]

The Claude Code Operating Model — Build scalable AI coding systems with Skills, MCP, Hooks, agent orchestration, and SDK patterns: https://t.co/oPiQRUQbjr

New release from @PacktPublishing @PacktDataML

[Kirk Borne @KirkDBorne]

Get "Mathematics of Machine Learning" here: https://t.co/07exFk5LqL by @TivadarDanka v/ @PacktDataML
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GitHub: https://t.co/2ENjzhr35C
—
Here is my review:

𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

This massive book is incredible, with its comprehensive coverage of numerous fields of mathematics and their intersection with the world of AI, data science, and machine learning (AI+DSML). I remember the very first time that I encountered machine learning. This was 20+ years ago, and that was already after 20+ years of being drenched in advanced mathematics as an astrophysicist.

That first encounter of mine with ML was this definition: "Machine learning is the set of mathematical algorithms that learn from experience" (slightly paraphrased from the original quote by Tom Mitchell, CMU). That definition surprised me, confused me, motivated me, and changed the course of my career from astrophysics into AI+DSML.

This book by Tivadar Danka captures the full meaning of that definition. The book covers thoroughly the many areas and domains of mathematics through which patterns in data are detected, described, learned, and recognized - all for the benefit of powering ML and AI algorithms, applications, and aspirations.

This book will motivate you, surprise you, and inspire you in many ways, no matter what level of mathematics has (or has not) already propelled your career journey. There is room for all of us to grow.

This is a great book, worthy to sit on everyone's desktop, ready to help you explore and exploit the full set of mathematical algorithms that learn from experience.

The book is accompanied by a rich GitHub code repository of Jupyter notebooks. Learn by doing! Do by learning!

Disclosure: the publisher provided me with a free review copy of the book.

[Kirk Borne @KirkDBorne]

Model to Meaning — How to interpret Statistical Models with R and Python: https://t.co/e9zukWxsG6
— Concrete workflows, task-specific software, and detailed case studies, presented using real-world data and code examples.

[Kirk Borne @KirkDBorne]

Generative Deep Learning — Unlocking the Creative Power of AI and Python with 4 Coding Projects: https://t.co/2ihF6BsJQP (UPDATED edition)
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#DataScience #MachineLearning #ML #DataScientist #GenerativeAI #GenAI

[Kirk Borne @KirkDBorne]

Synthetic Data Supercharges Science through AI: https://t.co/PPlgTxxKj0
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Book: "Synthetic Data for Machine Learning" at https://t.co/rqlzFwheTM
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
🟠Avoid common data issues by identifying and solving them using synthetic data-based solutions.
🟠Master synthetic data generation approaches to prepare for the future of machine learning.
🟠Enhance performance and stand out from competitors using synthetic data.

[Kirk Borne @KirkDBorne]

“Coding for Kids — Python: Learn to Code with 50 Awesome Games and Activities” [Spiral-bound]
...get it at https://t.co/DT9DhoFQgN
[Kindle and standard paperback editions also available]

#STEM

[Kirk Borne @KirkDBorne]

🚀This is a 🌟stellar🌟 AI / Python educational resource: https://t.co/3j2WiBg8Ua by @bayoadekanmbi @dsn_ai_network 🏆
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#STEM #ComputationalThinking #DataScience #MachineLearning

[Kirk Borne @KirkDBorne]

In "Susie’s School Bus Solution", young readers will join Susie and her mom as they learn about the fascinating world of artificial intelligence AI and computer vision.
🏆🥇
Get the book for a young person in your life, or for yourself: https://t.co/xBWs0sMXO6 by @DataMovesHer

[Kirk Borne @KirkDBorne]

Supercharged Coding with GenAI — From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI: https://t.co/kVcRB9L8BC v/ @PacktDataML

𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:

🔵Discover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivity

🟠Push beyond the basics to apply advanced techniques across the software development lifecycle

🔵Master best practices and advanced techniques to achieve quality code for even complex tasks

🟠Purchase of the print or Kindle book includes a free PDF eBook

[Kirk Borne @KirkDBorne]

AI Mastery >> The Complete Machine Learning Engineer Cookbook for Everyone — Become an AI Developer with Python: https://t.co/7N49LDI5Rs

Complete 5-part Learning Path:
1 - Build Your Foundation
2 - Assemble Your ML Toolkit
3 - Discover Deep Learning & Generative AI
4 - Master Natural Language Processing (NLP)
5 - Become an Optimization Expert

[Kirk Borne @KirkDBorne]

Generative AI Design Patterns — Solutions to Common Challenges When Building GenAI Agents and Applications: https://t.co/BuQldn9ZPa

[Kirk Borne @KirkDBorne]

Generative AI with Python and PyTorch: https://t.co/hfbERRk99u via @PacktDataML

[Kirk Borne @KirkDBorne]

Highly rated new book from @PacktPublishing @PacktDataML

"Architecting Generative AI Applications: Build, deploy, and scale production-ready GenAI systems with LLMOps best practices"

See it at https://t.co/h5NdYVGvVx

[Kirk Borne @KirkDBorne]

The Generative AI Career Masterplan — Navigate the future of AI with practical insights from industry pioneers at AI-first organizations: https://t.co/6lhyxnFyaV via @PacktDataML @PacktPublishing

𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷:
🟡Understand the global impact of Generative and Agentic AI on jobs and industries
🟢Master key GenAI & Agentic AI concepts for any professional background
🔵Identify your best-fit AI career path and transferable skills
🟡Build familiarity with LlamaIndex, Haystack, Hugging Face, and core RAG workflows
🟢Build an AI-enhanced personal brand using the 5-Layer LinkedIn Strategy and Portfolio Showcase Framework
🔵Apply ethical and responsible AI principles and governance in real-world practice
🟡Create a lifelong learning and upskilling roadmap for sustained growth