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PODCAST

Machine Learning Cafe

Miklos Zoltan Toth

This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.

science mathematics

All Episodes

56:20

What is beyond PoCs? ML project-hurdles you should be...

Machine Learning Cafe ·

2020/12/14

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 data scientist and you cannot convince your manager or your client to create a project, you should definitely listen to this episode. Moreover, we talked

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57:17

Alternative Learning Methods 01 with Dmitry Krotov - 015

Machine Learning Cafe ·

2020/09/09

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 Linkedin: https://www.linkedin.com/in/krotovdmitry/ Paper: Unsupervised Learning by Competing Hidden Units https://arxiv.org/abs/1806.10181 Paper: Local

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01:14:29

"Monkeys with laptops" - the (hi)story of applying AI...

Machine Learning Cafe ·

2020/06/23

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-up systems that may or may not use artificial intelligence. We believe he is one of the brightest minds we have ever talked to. I think if you listen to

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01:03:24

Conversational AI at Rasa with Vladimir Vlasov - 013

Machine Learning Cafe ·

2020/06/10

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 talking about state-of-the-art area of conversational AI and NLP, also briefly how Rasa’s framework is built up, and what are the technical problems to be

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52:38

What's real and what's hype? - Decades of ML with...

Machine Learning Cafe ·

2020/05/21

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 different topics in this industry. We talked about random forests, neural nets, boosting strategies, the importance of understanding data and statistics

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47:29

Extra: Machine Learning at John Deere with Marco...

Machine Learning Cafe ·

2020/05/12

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 imagine that he has a very broad perspective about business cases and data science and optimization problems at John Deere. He will talk about precision

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44:39

The World’s first Quadruple Kaggle Grandmaster -...

Machine Learning Cafe ·

2020/05/06

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 and have a work besides these? Although he has been so successful you will see that he is a very humble person. Find Abhishek on Linkedin:

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50:12

Everything is just a wicked graph with Benedek...

Machine Learning Cafe ·

2020/04/22

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/benedekrozemberczki/awesome-graph-classification Papers on Node (Network) Embedding: https://github.com/chihming/awesome-network-embedding Papers on

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56:46

Ratings and Marketing Attribution at Foursquare with...

Machine Learning Cafe ·

2020/03/04

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://www.linkedin.com/in/max-sklar-b638464/ The Local Max Radio (podcast): https://www.localmaxradio.com/ Publication Timely Tip Selection for Foursquare

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50:29

MISH Activation Function with Diganta Misra - 007

Machine Learning Cafe ·

2020/02/02

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 paper last summer and the project got already 600 stars on Github. He is already working on the next activation function called SharkFIN, which will be even

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55:44

Finding the label errors with Cleanlab with Curtis...

Machine Learning Cafe ·

2020/01/23

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 easily find them in your dataset. Curtis' website: https://www.curtisnorthcutt.com/ Curtis on LinkedIn: https://www.linkedin.com/in/cgnorthcutt/ Cleanlab

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36:54

A New Deep Learning Optimizer called Ranger with Less...

Machine Learning Cafe ·

2020/01/07

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 Ranger and in our case, it also outperformed Adam/RAdam variants. Co-host is Levente Szabados. Less' LinkedIn:

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36:40

Cutting-Edge Gradient Descent Variants with Levente...

Machine Learning Cafe ·

2019/12/19

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 optimization algorithms: https://arxiv.org/pdf/1609.04747.pdf Lookahead optimizer algorithm: https://arxiv.org/pdf/1907.08610.pdf Ranger optimizer by Less Wright:

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38:08

Tree-based methods for procurement & are expert...

Machine Learning Cafe ·

2019/12/12

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 the most efficient tool for the problem you have, regardless of whether it is in fashion or not. AI applications in procurement:

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56:51

Can we predict the accuracy of a Neural Network? Yes,...

Machine Learning Cafe ·

2019/12/07

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/charlesmartin14/ During the episode we talked about these VC Theory: https://en.wikipedia.org/wiki/Vapnik%E2%80%93Chervonenkis_theory Why Deep Learning works

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46:56

Progressively Growing GANs & Style GANs with Alexandr...

Machine Learning Cafe ·

2019/12/07

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 about ECG pipeline: https://medium.com/mawi-band/towards-ai-based-only-biosignal-analysis-pipeline-39e6e31244a6 Progressively Growing GANs:

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16 results

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