logo
episode-header-image
May 2018
44m 19s

Practical Deep Learning with Rachel Thom...

Sam Charrington
About this episode
In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algebra course. The courses are designed to make deep learning more accessible to tho ... Show More
Up next
Jul 27
Why Models Are AI’s Next Training Dataset with Damian Borth - #772
For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this ... Show More
47 m
Jul 8
How AI Learns to Smell with Alex Wiltschko - #771
In this episode, Alex Wiltschko, founder and CEO of Osmo, joins the show to discuss his goal of giving computers a sense of smell and what it takes to build olfactory intelligence. We explore the science behind smell, from the hundreds of olfactory receptors in the human nose to ... Show More
59m 55s
Jun 16
Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770
In this episode, Sam talks with Dev Rishi, GM of AI at Rubrik, about what happens when agents move beyond answering questions and start taking action across tools, systems, and business processes. We explore why the enterprise playbook of static guardrails plus human approval sta ... Show More
56m 18s
Recommended Episodes
Mar 2024
Launching 7-Figures AI Products With Franziska Kirschner #44
Our guest today is Franziska Kirschner, Co-Founder of Intropy AI and ex AI & Product Lead at Tractable: the world’s first computer vision unicorn. In our conversation, we dive into Franziska's PhD, her career at Tractable and her experience building deep learning algorithms for c ... Show More
1h 5m
Jan 2024
Careers, Skills, and the Evolution of AI (Ep. 248)
<p>!!WARNING!!</p> <p>Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco </p> <p> </p> <p> </p> <p>In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the d ... Show More
32m 27s
Mar 2022
Bayesian Machine Learning with Ravin Kumar (Ep. 191)
<p>This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions.</p> <p>He has previously worked at Sweetgreen, designing systems that would b ... Show More
31m 12s
Jun 2021
477: How to Thrive as an Early-Career Data Scientist
Sidney Arcidiacono joins us to discuss her studies and work at Make School and her interest in utilizing AI for healthcare, as well as her tips and strategies for becoming a successful early-career data scientist. In this episode you will learn: What is Make School? [5:00] Sid ... Show More
50m 28s
Feb 2024
216 Rachel Chung - Myths & Truths About AI
<p>It's been a little over a year now since most of us were introduced to ChatGPT. Since that time, many professionals, businesses and organizations have worked hard to understand not only ChatGPT, but    machine learning and Artificial Intelligence, and what it all can do to ass ... Show More
19m 47s
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
Jun 2020
Rust and machine learning #4: practical tools (Ep. 110)
<p>In this episode I make a non exhaustive list of machine learning tools and frameworks, written in Rust. Not all of them are mature enough for production environments. I believe that community effort can change this very quickly.</p> <p>To make a comparison with the Python ecos ... Show More
24m 18s