machine learning (noun) [Word Notes]

Please enjoy this encore of Word Notes. A software development model that relies on a series of sequential steps that flow into each other, like a series of waterfalls. CyberWire Glossary link: ⁠https://thecyberwire.com/glossary/waterfall-software-development⁠ Audio reference lin ... Show More

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

Please enjoy this encore of Word Notes. A software development philosophy that emphasizes incremental delivery, team collaboration, continual planning, and continual learning CyberWire Glossary link: ⁠https://thecyberwire.com/glossary/agile-software-development⁠ Audio reference l ... 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

Join us for a weekly round-up of the news! Plus we learn more about algorithms. We use algorithms every day, some are as simple as tying your shoelaces, and others help power artificial intelligence chat bots. Go to this episode on rnz.co.nz for more details 

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 

Andrej Karpathy recently coined the term “vibe coding” to describe how LLMs are getting so good that devs can simply “give in to the vibes, embrace exponentials, and forget that the code even exists.” In this episode of the Lightcone, the hosts discuss this new method of programm ... Show More

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