Five Key Things Machine Learning Technologies Need to Reach Mainstream Developers

Google Research conducted a detailed survey among TensorFlow developers to determine the key elements that streamline adoption of machine learning frameworks.


Tinkers vs. Scientists: The Impostor Syndrome in Machine Learning

Google’s Five Principles for Better ML Frameworks

1) Demystify Mathematical and Algorithmic Concepts

2) Support Learning by Doing

3) Support Re-use and Modification of Pre-made ML Models

4) Synthesize ML Best Practices into Just-in-Time Hints

5) Emphasize and Support the Experimental Nature of ML

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

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