Gesamtlänge aller Episoden: 13 hours 44 minutes
Why do we do PoCs all the time and why do we struggle with Real projects? We are going to talk about ML project-hurdles with the head of AI at Huawei Paris, Balazs Kegl.
Do you think the ML world needs a new learning method? Dmitry is working on this very hard in the MIT-IBM Watson AI Lab and IBM Research. He is about to find learning methods that are inspired by biology.
In this non-technical episode, our guest is Denis Rothman, who is an Artificial Intelligence Specialist and has spent 40 years in the industry. You can imagine he has very special thinking on the industry and how software development should be done. He te
What is the state-of-the-art techniques in conversational AI? What are the technical problems to be solved, and what is the future of conversational AI?
What does a person tell you who has decades of experience in ML? Learn statistics.
How is Machine Learning life at John Deere? We talked with Marco Lemessi, who spent 18 years at the company, and talked about the very broad perspective he accumulated.
Have you ever thought about how the Kaggle Grandmasters have such a good results in competitions? We asked one. We had a great chat with Abhishek Thakur, about his life and how he become the world's first quadruple Grandmaster on Kaggle.
Have you ever think about what kind of graph embeddings are there? What are the problems that can be solved through graphs and machine learning? In this episode we talk about these and much more.
What kind of problems are there when you want to find out if a rating is positive or negative? Did you know the Japanese people don't write bad ratings? What about marketing attribution and causality?
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,...