lukasz_km

4 ms·

1.
Deep Learning: Predicting hard disks failures using recurrent LSTM network(machinelearningexp.com)
3 points by lukasz_km 8y ago|0 comments
2.
Numpy Cheat Sheet(mycheatsheets.com)
1 points by lukasz_km 9y ago|0 comments
3.
by lukasz_km 9y ago
There is a lot of great Python and Pandas code snippets, but I am not sure anynone posted a Numpy based solution. Below is mine. It gives 100x speed up over the base (quadratic Python) solution. Still, suggested Pure Python solutions and i
4.
by lukasz_km 9y ago
I have tried PyPy once and it gives huge speed up. I am not sure how it works with Pandas/Numpy. I have also tried Numba JIT. Eeasy to use, but in my experince it saves just up to 10% of time. There is also Cython ( https://
5.
by lukasz_km 9y ago
I have had much fun reading this thread of comments today :) This comparison was never about concrete (optimal) implementations but about comparing exactly the same implementations, doing exactly the same operations. Such approach would be
6.
Data Science: Performance of Python vs. Pandas vs. Numpy(machinelearningexp.com)
118 points by lukasz_km 9y ago|40 comments
7.
by lukasz_km 9y ago
Minimaxir thanks for comment. Regarding "accuracy" I agree that this word usage is unfortunate in case of R2. A "goodness" would be better description of R2. Regarding the "one-hot" encoiding of inputs, I woul
8.
Machine Learning: Regression of 911 Calls(machinelearningexp.com)
36 points by lukasz_km 9y ago|3 comments
9.
Deep Learning: Language Identification Using Keras and TensorFlow(machinelearningexp.com)
5 points by lukasz_km 9y ago|0 comments