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Practical AI: Machine Learning, Data Science, LLM

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a sho

Episodes

Total: 322

It's time to talk time series
2019/10/28

Times series data is everywhere! I mean, seriously, try to think of some data that isn’t a time seri

AI in the browser
2019/10/21

We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive

Blacklisted facial recognition and surveillance companies
2019/10/15

The United States has blacklisted several Chinese AI companies working in facial recognition and sur

Flying high with AI drone racing at AlphaPilot
2019/10/7

Chris and Daniel talk with Keith Lynn, AlphaPilot Program Manager at Lockheed Martin. AlphaPilot is

AI in the majority world and model distillation
2019/9/30

Chris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In pa

The influence of open source on AI development
2019/9/25

The All Things Open conference is happening soon, and we snagged one of their speakers to discuss op

Worlds are colliding - AI and HPC
2019/9/17

In this very special fully-connected episode of Practical AI, Daniel interviews Chris. They discuss

AutoML and AI at Google
2019/9/9

We’re talking with Sherol Chen, a machine learning developer, about AI at Google and AutoML methods.

On being humAIn
2019/8/26

David Yakobovitch joins the show to talk about the evolution of data science tools and techniques, t

Serving deep learning models with RedisAI
2019/8/12

Redis is a an open source, in-memory data structure store, widely used as a database, cache and mess

AI-driven studies of the ancient world and good GANs
2019/7/30

Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they d

AI code that facilitates good science
2019/7/19

We’re talking with Joel Grus, author of Data Science from Scratch, 2nd Edition, senior research engi

Celebrating episode 50 and the neural net!
2019/7/3

Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural n

Exposing the deception of DeepFakes
2019/6/25

This week we bend reality to expose the deceptions of deepfake videos. We talk about what they are,

Model inspection and interpretation at Seldon
2019/6/17

Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t

GANs, RL, and transfer learning oh my!
2019/6/11

Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs)

Visualizing and understanding RNNs
2019/6/4

Andreas Madsen, a freelance ML/AI engineer and Distill.pub author, joins us to discuss his work visu

How to get plugged into the AI community
2019/5/28

Chris and Daniel take you on a tour of local and global AI events, and discuss how to get the most o

AI adoption in the enterprise
2019/5/21

At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scienti

When AI meets quantum mechanics
2019/5/14

Can AI help quantum physicists? Can quantum physicists help the AI community? The answers are yes an