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 p

Alternative Learning Methods 01 with Dmitry Krotov - 015

Sep 9th, 2020 57m 17s

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 wi

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

Jun 23rd, 2020 1h 14m

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

Conversational AI at Rasa with Vladimir Vlasov - 013

Jun 10th, 2020 1h 3m

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

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

May 21st, 2020 52m 38s

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. Euge

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

May 12th, 2020 47m 29s

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 faci

The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010

May 6th, 2020 44m 39s

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 tak

Everything is just a wicked graph with Benedek Rozemberczki - 009

Apr 22nd, 2020 50m 12s

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

Ratings and Marketing Attribution at Foursquare with Max Sklar - 008

Mar 4th, 2020 56m 46s

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.

MISH Activation Function with Diganta Misra - 007

Feb 2nd, 2020 50m 29s

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 MIS

Finding the label errors with Cleanlab with Curtis Northcutt - 006

Jan 23rd, 2020 55m 44s

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 e

A New Deep Learning Optimizer called Ranger with Less Wright - 005

Jan 7th, 2020 36m 54s

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 str

Cutting-Edge Gradient Descent Variants with Levente Szabados - 004

Dec 19th, 2019 36m 40s

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 Lin

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

Dec 12th, 2019 38m 8s

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 procur

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

Dec 7th, 2019 56m 51s

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

Progressively Growing GANs & Style GANs with Alexandr Honchar - 001

Dec 7th, 2019 46m 56s

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

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