Kirk Borne

Founder of @LeadershipData. Global Speaker. Leading Social & B2B Influencer of Data Science, AI, ML. PhD Astrophysics @Caltech. AAS Legacy Fellow (@AAS_Office)

[Kirk Borne @KirkDBorne]

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[Kirk Borne @KirkDBorne]

Myth-busting is on the data science menu today.

"Imbalanced Data: Myths, Mistakes and Modern Solutions" by @Soledad_Galli

Get Kindle edition here: https://t.co/2szbizT7XG
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Get eBook here: https://t.co/ZJsUjXHnmT

[Kirk Borne @KirkDBorne]

3rd Edition! "Python Feature Engineering Cookbook", complete guidebook with recipes for crafting powerful features for Machine Learning models: https://t.co/MM07lNgJcB by @Soledad_Galli
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#AI #ML #DataScience #DataScientist

[Kirk Borne @KirkDBorne]

Deep Learning for Search: https://t.co/ZdbfXsorBU from @ManningBooks

Amazon Summary:

“Deep Learning for Search” teaches you to improve your search results with neural networks. You'll review how DL relates to search basics like indexing and ranking. Then, you'll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you'll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn!

What's inside:
• Accurate and relevant rankings
• Searching across languages
• Content-based image search
• Search with recommendations

[Kirk Borne @KirkDBorne]

Artificial Neural Networks: https://t.co/uyUdLTUpBw

• introductory level textbook on artificial neural networks at the postgraduate and senior undergraduate levels in any branch of engineering

• topics include basics of artificial neural networks, functional units of artificial neural networks for pattern recognition tasks, feedforward and feedback neural networks, and architectures for complex pattern recognition tasks

• the emphasis is on the pattern processing feature of neural networks, including the presentation of practical real-world applications

[Kirk Borne @KirkDBorne]

The Complete Book of Intelligence Tests — 500 Exercises to Improve, Upgrade and Enhance Your Mind Strength (The IQ Workout Series): https://t.co/Wgl9pgBgnM

[Kirk Borne @KirkDBorne]

Effective XGBoost — Optimizing, Tuning, Understanding, and Deploying Classification Models (Book #3 in 13-book Python series): https://t.co/XPBxGrAJVd

[Kirk Borne @KirkDBorne]

AI Deep Learning Decoded — Beginner's Guide (Artificial Intelligence Book 3): https://t.co/btGwagxtRt

[Kirk Borne @KirkDBorne]

Python Programming — From the Basics to Advanced Concepts: https://t.co/vE5N0od0S8

[Kirk Borne @KirkDBorne]

Python Simplified — Crash Course in Practical Programming for Beginners: Master Essential Python Skills and Start Coding Right Away

Here: https://t.co/jdXRvpGNpZ

[Kirk Borne @KirkDBorne]

Tensor Mathematics for Modern AI: https://t.co/BmbAubDeKu

[Kirk Borne @KirkDBorne]

There have been many Enterprise Resilience & Recovery innovations, developments, and announcements for the Agentic Era presented at the Commvault SHIFT 2026 event in Nashville this week. If you can’t be in Nashville (or even if you can be), then be sure to register and tune in to next week’s SHIFT VIRTUAL online event hosted by Commvault — attend from anywhere globally. Here’s the link with the essential details to get you started … ⤵️
https://t.co/lNWHPHtLEY

[Commvault @Commvault]

Day 3 was another packed one at #CommvaultSHIFT Nashville.

AI recovery took the stage, hands-on sessions put recovery readiness to the test, and conversations looked at what’s next for AI.

Nashville gave us plenty to talk about today.

#CyberResilience #AI

[Kirk Borne @KirkDBorne]

This awesome book has just been released. I received my hard copy yesterday. I was (and still am) super excited to own this dating book.

Wait! Did I just say “dating book”? Yes, I did — because feature selection in conjunction with the essential process of data profiling can best be described as HAVING YOUR FIRST DATE WITH YOUR DATA! So, what are you waiting for? Senior Prom??

Get it at: https://t.co/AZXdFuIzh8 by @Soledad_Galli via @PacktPublishing
🔹⤵️🔹⤵️🔹⤵️🔹

[Kirk Borne @KirkDBorne]

Feature Selection in Machine Learning — 20+ feature selection methods to build simpler, faster, and more reliable ML models: https://t.co/DBynJ1Qms8 by @Soledad_Galli via @PacktPublishing
🔹 🔹 🔹 🔹 🔹 🔹

[Kirk Borne @KirkDBorne]

🔵 AI Agents in Action: https://t.co/dALPmfHTWH v/ @ManningBooks

🟡 Updated! 2nd Edition!

🟢 Table of Contents:
1. The rise of AI agents
2. Core components: Large language models, prompting, and agents
3. Actions with Model Context Protocol for AI agents
4. Architecting and building multi-agent systems
5. Agent reasoning and planning
6. Working with memory & knowledge RAG for agents
7. Building robust agents with evaluation and feedback
8. Deploying agents and agentic systems
9. Understanding the agentic loop
10. Exploring the cognitive agent that thinks, monitors, and adapts
11. Tips for building agentic systems
A. Setting up the sample code repository
B. Node.js setup for local MCP servers

[Kirk Borne @KirkDBorne]

Prompting Pandas for Data Analysis — Analyze, Clean, Transform, and Automate Real-World Data Workflows Faster with Pandas, Python, and AI Prompt Engineering: https://t.co/OurfaSfmNk

[Kirk Borne @KirkDBorne]

#Sedecordle Daily #1733 21/21 🔥 1 day streak
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https://t.co/1gTLFg7Qc5

[Kirk Borne @KirkDBorne]

Transformers from Scratch — Beginner's Guide to the Neural Network Behind Large Language Models — Self-Attention, the Math, and Working Code in Python and PyTorch: https://t.co/3MTpnEh18N
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Mastering Transformers: https://t.co/tWnbF4GQDF

[Kirk Borne @KirkDBorne]

Introduction to Differential Geometry of Space Curves and Surfaces: https://t.co/SUWZibHIjA
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General Relativity, Simplified: https://t.co/3iBT8VwzvR

[Kirk Borne @KirkDBorne]

I really like this quote from @FCentinello — it makes perfect sense to me…

“Cynicism isn’t intelligence, and it doesn’t offer solutions because it's really just mentally tapping out. Curiosity is the muscle that discovers, builds, and explores.”

Be curious! That’s how we are built. Just watch any small child — always testing, exploring, curious. That’s a natural-born scientific instinct.

[Kirk Borne @KirkDBorne]

"Machine Learning Foundations, Volume 1: Supervised Learning" — available at https://t.co/8nD3jQvCuh

𝓑𝓮𝓷𝓮𝓯𝓲𝓽𝓼:

💠Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques

💠Implement the full supervised learning pipeline, from data preprocessing and feature engineering to model selection, training, and evaluation

💠Understand key learning tasks, including classification, regression, multi-label, and multi-output problems

💠Implement foundational algorithms from scratch, including linear and logistic regression, decision trees, gradient boosting, and SVMs

💠Gain hands-on experience with industry-standard tools such as Scikit-Learn, XGBoost, and NLTK

💠Refine and optimize your models using techniques such as hyperparameter tuning, cross-validation, and calibration

💠Work with diverse data types, including tabular data, text, and images

💠Address real-world challenges such as imbalanced datasets, missing data, and high-dimensional inputs

[Kirk Borne @KirkDBorne]

Feature Engineering and Selection — A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series): https://t.co/6qBuRV6AEu