
Sign up to save your podcasts
Or


I recently discovered a company called Nykcel that develops an ML platform that allows anyone to develop and integrate ML functionality into their application quickly. So I invited Oscar Beijbom onto the podcast to learn more. He shares his story and some incredibly cool use cases that should give everyone listening to a little food for thought on the value this tech can offer.
Oscar is the co-founder and ML lead at Nyckel. He has 20 years of experience shipping ML products for a wide range of products including self-driving cars, airbag bicycle helmets, coral reef monitoring, and microscopy. His academic work on deep learning has been cited over 5000 times and includes topics on object detection, domain transfer learning, and fine-grained visual categorization.
We discuss how machine learning differs from artificial intelligence and how entrepreneurs can use machine learning to accelerate the growth of their companies. He also shares tips on how developers can improve the accuracy of their machine learning model.
By Neil C. Hughes5
198198 ratings
I recently discovered a company called Nykcel that develops an ML platform that allows anyone to develop and integrate ML functionality into their application quickly. So I invited Oscar Beijbom onto the podcast to learn more. He shares his story and some incredibly cool use cases that should give everyone listening to a little food for thought on the value this tech can offer.
Oscar is the co-founder and ML lead at Nyckel. He has 20 years of experience shipping ML products for a wide range of products including self-driving cars, airbag bicycle helmets, coral reef monitoring, and microscopy. His academic work on deep learning has been cited over 5000 times and includes topics on object detection, domain transfer learning, and fine-grained visual categorization.
We discuss how machine learning differs from artificial intelligence and how entrepreneurs can use machine learning to accelerate the growth of their companies. He also shares tips on how developers can improve the accuracy of their machine learning model.

1,285 Listeners

531 Listeners

1,648 Listeners

1,095 Listeners

162 Listeners

111 Listeners

302 Listeners

332 Listeners

267 Listeners

204 Listeners

9,958 Listeners

5,511 Listeners

350 Listeners

91 Listeners

629 Listeners

0 Listeners

0 Listeners

0 Listeners

0 Listeners

0 Listeners

0 Listeners

0 Listeners