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Stuart Wright41,102 Points
Very minor point but Craig states at around 5:10 in this video that we didn't run into any precision errors with our dataset, but we actually did. 3.286 stored as np.float16 becomes 3.28515625, which was displayed in the Jupyter Notebook output as 3.285.
Craig DennisTreehouse Teacher
Nice catch Stuart! If you pay attention, you'll notice I stumble....I was expecting it in the last row, but missed it in the first one!
That's a great example of the precision problem.