Learn Before
Machine Learning Tasks Often Suggest Where to Focus Effort
Many machine learning tasks contain practical clues about which approaches are worth trying and which are likely to waste time. Paying attention to those clues can prevent long, unproductive rounds of trial and error.
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Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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Machine Learning Tasks Often Suggest Where to Focus Effort
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Machine Learning Yearning @ DeepLearning.AI
Learn After
Why examine early diagnostic signals?
Once a first-pass system is built, looking at its mistakes usually adds little value because the errors do not help identify what to improve next.
Spotting Useful Direction _____
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Strategy Can Save Time