logo
episode-header-image
Today
39m 29s

There Is No AI. There's a Stateless Func...

FRANCESCO GADALETA
About this episode
tail spinning
Up next
Jan 30
Your Favorite AI Startup is Probably Bullshit (Ep. 298) [RB]
The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone. We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockcha ... Show More
12m 20s
Jan 28
Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 297) [RB]
VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. Today we explain how vortex shedding, the Str ... Show More
33m 15s
Jan 10
AGI: The Dream We Should Never Reach (Ep. 296)
Also on YouTube Two AI experts who actually love the technology explain why chasing AGI might be the worst thing for AI's future—and why the current hype cycle could kill the field we're trying to save. Want to dive deeper? Head to datascienceathome.com for detailed show notes, c ... Show More
45m 41s
Recommended Episodes
Apr 2021
464: A.I. vs Machine Learning vs Deep Learning
In this episode, I tackle three often conflated terms - AI, machine learning, and deep learning - to shine some light on what exactly they are. Additional materials: www.superdatascience.com/464 
7m 14s
Feb 2017
MLG 001 Introduction
<p>Show notes: <a href= "https://ocdevel.com/mlg/1?utm_source=podcast&utm_medium=mlg&utm_campaign=mlg1" target="_blank" rel="noopener">ocdevel.com/mlg/1</a>. MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages ... Show More
8m 11s
Apr 2017
Feature Processing for Text Analytics
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
17m 28s
Feb 2017
MLG 004 Algorithms - Intuition
<div> <p>Machine learning consists of three steps: prediction, error evaluation, and learning, implemented by training algorithms on large datasets to build models that can make decisions or classifications. The primary categories of machine learning algorithms are supervised, un ... Show More
23m 27s
Mar 2017
MLG 010 Languages & Frameworks
tail spinning
44m 36s
Jun 2024
SE Radio 622: Wolf Vollprecht on Python Tooling in Rust
<p><strong>Wolf Vollprecht</strong>, the CEO and founder of Prefix.dev, speaks with host Gregory M. Kapfhammer about how to implement Python tools, such as package managers, in the Rust programming language. They discuss the challenges associated with building Python infrastructu ... Show More
55m 10s
Jul 2023
AI Today Podcast: AI Glossary Series – Automated Machine Learning (AutoML)
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Automated Machine Learning (AutoML), explain how this term relate to AI and why it’s important to know about them. Show Notes: FREE Intro to CPMAI mini course CPMAI Training and Certifi ... Show More
9m 11s
Jul 2023
AI Today Podcast: AI Glossary Series – Data Science Notebooks, Jupyter, Colab
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Science Notebooks, Jupyter, Colab, explain how these terms relate to AI and why it’s important to know about them. Show Notes: FREE Intro to CPMAI mini course CPMAI Training and C ... Show More
11 m
Mar 2017
MLG 009 Deep Learning
tail spinning
51m 28s
Nov 2024
SE Radio 641: Catherine Nelson on Machine Learning in Data Science
<p><strong>Catherine Nelson</strong>, author of the new O'Reilly book, <em data-renderer-mark="true">Software Engineering for Data Scientists</em>, discusses the collaboration between data scientists and software engineers -- an increasingly common pairing on machine learning and ... Show More
48m 19s
Listen to millions of songs and podcasts on Anghami