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 agriculture, problems of labeling on large dataset, legal aspects of artificial intelligence.
Contact Marco on LinkedIn: https://www.linkedin.com/in/marcolemessi/
Marco's email address: LemessiMarco@johndeere.com
Website of John Deere: https://www.deere.com/
---General Info---
About the host: Miklos Toth is a Machine Learning enthusiast who is also teaching Machine Learning and Deep Learning at international companies, working on various ML projects as an engineer.
About the co-host: Levente Szabados is a Deep tech leader, consultant, and manager with a special interest in artificial intelligence, cognitive sciences, data science, and deep learning. He is teaching various ML courses at the Frankfurt School of Finance and Management.
About the podcast: The podcast was created to serve the technical community with details of ML algorithms, use-cases. The episodes are recorded in Budapest, Hungary, Europe.
Website of the podcast: http://machinelearningcafe.org/
Host's LinkedIn: https://www.linkedin.com/in/miklostoth/
Co-Host LinkedIn: https://www.linkedin.com/in/levente-szabados-76334728/
Write an email to the host: miklos@machinelearningcafe.org
Equipment: On the host's side the show is recorded with Rode Procaster and with Roland Quad-Capture audio interface.
---Copyright Info---
Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro "Acid Trumpet" by Kevin MacLeod (https://incompetech.com), License: CC BY (http://creativecommons.org/licenses/by/4.0/)
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Alternative Learning Methods 01 with Dmitry Krotov - 015
"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014
Conversational AI at Rasa with Vladimir Vlasov - 013
What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012
The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010
Everything is just a wicked graph with Benedek Rozemberczki - 009
Ratings and Marketing Attribution at Foursquare with Max Sklar - 008
MISH Activation Function with Diganta Misra - 007
Finding the label errors with Cleanlab with Curtis Northcutt - 006
A New Deep Learning Optimizer called Ranger with Less Wright - 005
Cutting-Edge Gradient Descent Variants with Levente Szabados - 004
Tree-based methods for procurement & are expert systems alive? with Renee Ahel - 003
Can we predict the accuracy of a Neural Network? Yes, with the WeightWatcher tool by Charles Martin, Ph.D. - 002
Progressively Growing GANs & Style GANs with Alexandr Honchar - 001
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