Brandon Rohrer — Machine Learning in Production for Robots

👨🏻‍💻Today our guest is Brandon Rohrer.
Brandon Rohrer is a Mechanical Engineer turned Data Scientist. He's currently a Principal Data Scientist at iRobot and has an incredibly popular Machine Learning course at e2eML where he's made some wildly popular videos on convolutional neural networks and deep learning. His fascination with robots began after watching Luke Skywalker's prosthetic hand in the Empire Strikes Back. He turned this fascination into a PhD from MIT and subsequently found his way to building some incredible data science products at Facebook, Microsoft and now at iRobot.
✍️Brandon's brilliant machine learning course: http://e2eml.school/
🐦Follow Brandon on twitter: https://twitter.com/_brohrer_

Topics covered:
0:00 intro
0:41 Brandon Rohrer Bio
1:31 Challenges faced at iRobot and robotics in general
5:18 Simplicity and performance
9:14 going from mechanical engineering to Machine learning
12:29 what makes general purpose robots hard?
14:02 why is robotics so particularly hard?
15:08 Simulating data
16:50 Toughest part of going from a model on your laptop to production
21:26 What's so great about robots?
28:37 What is an underrated aspect of Machine Learning?
29:43 What is the biggest challenge of machine learning in the real world?
32:01 Where can people find you?

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🎙Host: Lukas Biewald - https://twitter.com/l2k
👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
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Тэги:

#machine_learning #deep_learning #robotics #hyperparameter_optimization #hyperparameter_tuning #track_experiments #keras #scikit #pytorch #weights #biases #gpu ##artificialintelligence ##ai ##datascience ##python ##bigdata ##data ##iot ##tech ##programming ##coding ##datascientist ##lukas_biewald ##brandon_rohrer

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