jrjames83

4 ms·

1.
by jrjames83 8y ago
Very nice - can't wait to try. What kind of features and distance measurements do you use for the audio similarity? I've worked on that quite a bit in the past.
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by jrjames83 8y ago
I try to avoid doing too much in a single day. 20 mins of the class, followed by an hour of slightly changing the instructions, or imagining, "how could I tweak it to do "this"", usually pays off the best for me, in term
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by jrjames83 9y ago
JRE did a good job with that interview. He has some good recent interviews on Jim Rome and Mark Divine (Sealfit). Definitely a good listen once or twice a month to hammer home a proper state of mind.
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by jrjames83 9y ago
In case anyone wants to listen to the recent podcast: https://www.macrovoices.com/360-chris-cole-volatility-and-th...
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by jrjames83 9y ago
I would recommend working on as many Kaggle competitions as you can. Try your best to understand manipulating data quickly and efficiently (use Python). Using the correct algorithm is typically trivial and a solved problem for most typical
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Real World Pandas/Python Video Series (Manitou Incline GPS Data)(youtube.com)
1 points by jrjames83 9y ago|0 comments
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by jrjames83 10y ago
Best way is to see it in action and experiment. A few videos I made (b and c relate to common queries written for BI or CLTV stuff). a) row_number over() and partition: in the abstract: https://www.youtube.com/watch?v=-X3eIy
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by jrjames83 10y ago
I created a set of videos for Udemy, but they complained about audio quality so I added them to YouTube. I cover a variety of basics (joins) but also get into subqueries, correlated subqueries, window functions and all along use a freely av