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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
200200 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.

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