machine learning (noun) [Word Notes]

This week, our hosts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠Dave Bittner⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Joe Carrigan⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠Maria Varmazis⁠⁠⁠⁠⁠⁠⁠⁠ (also host of the ⁠⁠⁠⁠⁠⁠⁠⁠T-Minus⁠⁠⁠⁠⁠⁠⁠⁠ Space Daily show) are back sharing the latest in social engineering scams, phishing schemes, and criminal exploits that a ... Show More

Please enjoy this encore of Word Notes. A cyber threat intelligence best practice of assigning arbitrary labels to collections of hacker activity across the intrusion kill chain. 

This week, our hosts⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠Dave Bittner⁠⁠, ⁠⁠⁠⁠⁠⁠⁠Joe Carrigan⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠Maria Varmazis⁠⁠⁠⁠⁠⁠⁠ (also host of the ⁠⁠⁠⁠⁠⁠⁠T-Minus⁠⁠⁠⁠⁠⁠⁠ Space Daily show) are back sharing the latest in social engineering scams, phishing schemes, and criminal exploits that are making ... Show More

In this episode, we explore foundational algorithms and data structures that every developer and computer science enthusiast should know. Covering everything from Binary Search Trees (BSTs) to advanced concepts like Dynamic Programming and Greedy Algorithms, this episode is packe ... Show More

In this podcast, Roland Meertens and Anthony Alford discuss their favorite algorithms, starting with the etymology of the word "algorithm." They explore the Fibonacci sequence and the many algorithms for computing it. Roland introduces the concept of probabilistic counting, focus ... Show More

Jeffrey Ullman is a renowned computer scientist and professor emeritus at Stanford University, celebrated for his groundbreaking contributions to database systems, compilers, and algorithms. He co-authored influential texts like Principles of Database Systems and Compilers: Princ ... Show More

Try a walking desk while studying ML or working on your projects! Overview of machine learning algorithms. Infer/predict, error/loss, train/learn. Supervised, unsupervised, reinforcement learning. ocdevel.com/mlg/4 for notes and resources 

Episode 52: How has the landscape of AI coding transformed in just a few months? Matt Wolfe (https://x.com/mreflow) and Nathan Lands (https://x.com/NathanLands) are back with Riley Brown (https://x.com/rileybrown_ai), a leading figure in the vibe coding movement. Riley is known f ... Show More

It seems like every day there's more and more machine learning problems that involve learning on text data, but text itself makes for fairly lousy inputs to machine learning algorithms.  That's why there are text vectorization algorithms, which re-format text data so it's ready f ... Show More

Ever felt like your tech presentations, tutorials, or even code explanations are falling flat? You're not alone! In this episode of Two Voice Devs, Allen and Mark dive deep into the art of effective communication in tech, exploring how to move beyond just listing facts to buildin ... Show More

Brief Summary: Programming is difficult as it is, but imagine how difficult it was without all the current tools, compilers, synthesizers, etc. that we have today. Eran Yahav, Chief Technology Officer at Tabnine shares how AI is currently helping with code writing and how it coul ... Show More

Ever wondered how computers actually work? Get a bite-sized intro to computer science – what it is, why it matters, and get excited to learn more! Find the full transcript of this episode and learn more about it on https://englishpluspodcast.com/computer-science-a-sneak-peek-behi ... Show More

Today I am with David Kopec, author of Classic Computer Science Problems in Python, published by Manning Publications. His book deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with interesting and realistic scenarios, exe ... Show More