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#Machine Learning Cafe

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Egy technikai fókuszú podcast, ahol a mesterséges intelligencia és gépi tanulás különböző területeit interjú alanyok szemszögéből vizsgálja a műsor. Az adásokba főleg külföldi szakembereket hívnak meg, így az epizódok angol nyelvűek.

Adások száma: 14

Utolsó adás: 2020-12-14 14:00:54

What is beyond PoCs? ML project-hurdles you should be prepared to take with Balázs Kégl - 016
In this episode, our guest was Balázs Kégl, the head of AI Research at Huawei Paris. We were talking about ML 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…
Alternative Learning Methods 01 with Dmitry Krotov - 015
Do you think the ML world needs a new learning method? 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…
"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014
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 an exceptional expert. He has a very special view on what…
Conversational AI at Rasa with Vladimir Vlasov - 013
In this episode, our guest is Vladimir Vlasov, a senior ML researcher at Rasa. If you don't know Rasa, it's a company that is building a standard infrastructure for conversational AI. Vladimir works on Rasa's ML-based dialogue tools which allow developers to automate contextual conversations. So we…
What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012
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. Eugene is dealing with machine learning since the 80s, so he has a very strong opinion about different topics in this industry. We talked about…
Extra: Machine Learning at John Deere with Marco Lemessi - 011
We recorded an extra and special episode, our guest is Marco Lemessi, who is a ML leader at John Deere. He will share some of the business aspects and also problems of the ML projects they are facing at one of the biggest agricultural companies in the world. He has a very broad perspective about business…
The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010
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…
Everything is just a wicked graph with Benedek Rozemberczki - 009
Our guest is Benedek Rozemberczki who is a Data Science Phd candidate at University of Edinburgh and owner of the github repo Karate Club where he implemented more than 30 scientific papers about Graphs and ML. More information: # Website of the podcast: # Host's LinkedIn: # Co-Host LinkedIn: # Write…
Ratings and Marketing Attribution at Foursquare with Max Sklar - 008
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…
MISH Activation Function with Diganta Misra - 007
In this episode, out 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…
Finding the label errors with Cleanlab with Curtis Northcutt - 006
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…
A New Deep Learning Optimizer called Ranger with Less Wright - 005
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…
Cutting-Edge Gradient Descent Variants with Levente Szabados - 004
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.
Tree-based methods for procurement & are expert systems alive? with Renee Ahel - 003
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,…
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