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.
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 talk about an unusual learning rule, which has a degree of biological plausibility.
"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 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.
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 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 solved, and the future of conversational AI.
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 random forests, neural nets, boosting strategies, the importance of understanding data and statistics, and about the effects of the current and upcoming crisis either.
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 cases and data science and optimization problems. He will talk about precision agriculture, problems of labeling on large dataset, legal aspects of AI.
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 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.