Best Neuralnetworks Podcasts (2024)

1
What is beyond PoCs? ML project-hurdles you should be prepared to take with Balázs Kégl - 016 56:20

3+ y ago56:20

56:20

In this episode, our guest was Balázs Kégl who is head of AI Research at Huawei Paris. We were talking about machine learning projects from the organizational point of view. We talked about the relationship between technical and non-technical people, and why are there so many POC projects why only a few of them is productionised? So, if you are a d…

1
Alternative Learning Methods 01 with Dmitry Krotov - 015 57:17

4y ago57:17

57:17

We continue with a micro-series, where we talk about alternative learning methods. In the first episode of this micro-series our guest is Dmitry Krotov, Researcher at MIT-IBM Watson AI Lab and IBM Research in Cambridge. Among many things, we will talk about an unusual learning rule, which has a degree of biological plausibility. Find Dmitry on Link…

1
"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014 1:14:29

4y ago1:14:29

1:14:29

In this "extra" episode, our guest is Denis Rothman, who is an Artificial Intelligence Specialist. He has spent 40 years in this industry, he is the author of the book called "Artificial Intelligence by Example". He is a teacher, a speaker, and he is an exceptional expert. He has a very special view on what software development is and how to build-…

1
Conversational AI at Rasa with Vladimir Vlasov - 013 1:03:24

4y ago1:03:24

1:03:24

In this episode, our guest was Vladimir Vlasov, who is a senior machine learning researcher at Rasa. If you don't know Rasa, it's a company that is building a standard infrastructure for conversational AI. Vladimir is working on Rasa's machine learning-based dialogue tools which allow developers to automate contextual conversations. So we were talk…

1
What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012 52:38

4y ago52:38

52:38

In this episode, our guest is Eugene Dubossarsky, who is the chief data scientist at AlphaZetta and co-founder at multiple data science companies in Australia. He is a managing partner of the Global Training Academy and he is teaching too. Eugene is dealing with machine learning since the 80s, so you can imagine he has a very strong opinion about d…

1
Extra: Machine Learning at John Deere with Marco Lemessi - 011 47:29

4y ago47:29

47:29

We recorded an extra and special (business related) episode, our guest is Marco Lemessi, who is a Machine Learning leader at John Deere. He will share some of the business aspects and also problems of the machine learning projects they are facing at one of the biggest agricultural companies in the world. He spent 18 years at John Deere, so you can …

1
The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010 44:39

4y ago44:39

44:39

In this episode our guest is Abhishek Thakur, who is the Chief Data Scientist at Boost.ai in Norway. Abhishek has become the World’s first Quadruple Grandmaster on Kaggle. So we asked him about his experiences of the 150 competitions he has taken part in. So, what are the tricks here? How can someone participate in so many competitions, rank high a…

1
Everything is just a wicked graph with Benedek Rozemberczki - 009 50:12

4+ y ago50:12

50:12

In this episode, our guest is Benedek Rozemberczki who is a Data Science Phd candidate at University of Edinburgh and also the owner of the github repo Karate Club where he implemented more than 30 scientific papers about Graphs and ML. Karate Club: https://github.com/benedekrozemberczki/karateclub Papers on Graph Classification: https://github.com…

1
Ratings and Marketing Attribution at Foursquare with Max Sklar - 008 56:46

4+ y ago56:46

56:46

In this episode our guest is Max Sklar who works as Engineering and Innovation Labs advisor at Foursquare. We talked about ratings and the problems about deciding if a rating is positive or negative, and the problems about different languages. In the second part of the show we talked about marketing attribution and causality. Max’s Linkedin: https:…

1
MISH Activation Function with Diganta Misra - 007 50:29

4+ y ago50:29

50:29

In this episode, my guest is Diganta Misra, who is the founder of Landskape AI, which is a research lab aimed at solving the most challenging questions of Deep Learning. Diganta is a Mathematician who invented the activation function called MISH, which beats Google's activation function called Swish in most computer vision tasks. He released his pa…

1
Finding the label errors with Cleanlab with Curtis Northcutt - 006 55:44

4+ y ago55:44

55:44

In this episode, I talked with Curtis Northcutt about his application cleanlab, with which you can find label errors in your dataset. Cleanlab computes cross-validated probabilities, the confident joint, and the statistics used in uncertainty estimation for dataset labels, and it ranks and sorts the labels by the probabilities of error, so you can …

1
A New Deep Learning Optimizer called Ranger with Less Wright - 005 36:54

4+ y ago36:54

36:54

In this episode, we interview Less Wright, who has set 13 records on the fast.ai leaderboard, and we talk about one of his tricks is using cutting-edge optimizers, he also developed one, which is called Ranger. He talks also about different strategies of using Deep Learning optimizers, it is worth to take those into consideration. We also tested Ra…

1
Cutting-Edge Gradient Descent Variants with Levente Szabados - 004 36:40

4+ y ago36:40

36:40

In this episode, we are focusing on Deep Learning Optimizers, the different Gradient Descent Variants from vanilla GD to RAdam and Ranger. Levente tells us the story of GD from the simplest ones to the newest ones. This is part 1. Levente's Linkedin URL: https://www.linkedin.com/in/levente-szabados-76334728/ An overview of gradient descent optimiza…

1
Tree-based methods for procurement & are expert systems alive? with Renee Ahel - 003 38:08

4+ y ago38:08

38:08

In this episode, we interview Renee Ahel, who is a Lead AI Expert at Cirtuo and a freelance data scientist in Croatia. He is dealing with Machine Learning since 2003, and recently he is working on Tree-based methods, with which he solves procurement problems. He is also dealing with Expert systems, you will hear why. His motto is: You should choose…

1
Can we predict the accuracy of a Neural Network? Yes, with the WeightWatcher tool by Charles Martin, Ph.D. - 002 56:51

4+ y ago56:51

56:51

In this Episode we talked about the deep neural networks and the spectral density of each layer's weights. It turns out, you can predict the accuracy ( and many more) with the WeigthWatcher application. We talk about the 5+1 Phases of learning and Heavy Tailed Self Regularization. Charles Martin, PhD on LinkedIn: https://www.linkedin.com/in/charles…

1
Progressively Growing GANs & Style GANs with Alexandr Honchar - 001 46:56

4+ y ago46:56

46:56

In this episode, we talked about the idea behind GANs in general and two special types of GANs: Progressively Growing GANs and Style GANs. LinkedIn URL of Alexandr Honchar: https://www.linkedin.com/in/alexandr-honchar-4423b962/ Companies where Alex works: http://neurons-lab.com/ http://mawi.band/ Facebook: https://www.facebook.com/rachnogstyle Blog…

Podcasts Worth a Listen

Neuralnetworks Podcasts

Podcasts Worth a Listen

1
Machine Learning Cafe

Miklos Zoltan Toth

1
What is beyond PoCs? ML project-hurdles you should be prepared to take with Balázs Kégl - 016 56:20

1
Alternative Learning Methods 01 with Dmitry Krotov - 015 57:17

1
"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014 1:14:29

1
Conversational AI at Rasa with Vladimir Vlasov - 013 1:03:24

1
What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012 52:38

1
Extra: Machine Learning at John Deere with Marco Lemessi - 011 47:29

1
The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010 44:39

1
Everything is just a wicked graph with Benedek Rozemberczki - 009 50:12

1
Ratings and Marketing Attribution at Foursquare with Max Sklar - 008 56:46

1
MISH Activation Function with Diganta Misra - 007 50:29

1
Finding the label errors with Cleanlab with Curtis Northcutt - 006 55:44

1
A New Deep Learning Optimizer called Ranger with Less Wright - 005 36:54

1
Cutting-Edge Gradient Descent Variants with Levente Szabados - 004 36:40

1
Tree-based methods for procurement & are expert systems alive? with Renee Ahel - 003 38:08

1
Can we predict the accuracy of a Neural Network? Yes, with the WeightWatcher tool by Charles Martin, Ph.D. - 002 56:51

1
Progressively Growing GANs & Style GANs with Alexandr Honchar - 001 46:56

Quick Reference Guide