efavdb

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211.
Mapping ml model scores to actual outcome probabilities via integration(efavdb.com)
3 points by efavdb 9y ago|0 comments
212.
Gaussian Processes in math and code(efavdb.com)
1 points by efavdb 9y ago|0 comments
213.
by efavdb 9y ago
One example: A common ml algorithm called principal component analysis makes use of the eigenvectors and eigenvalues of a data set's correlation matrix. The dominant eigenvectors can be used as a basis for data compression and the siz
214.
Martingales(efavdb.com)
1 points by efavdb 9y ago|0 comments
215.
by efavdb 9y ago
He's arguing that if you want to develop some custom word embeddings (trained on whatever data set you have specific to task at hand), the SVD approach is often much faster and almost as effective. If you're willing to make that
216.
Logistic regression review: ML with error bars(efavdb.com)
3 points by efavdb 9y ago|0 comments
217.
Normal distributions: Review of properties with derivations(efavdb.com)
2 points by efavdb 9y ago|0 comments
218.
Machine learning model AUCs depend on test set difficulty(efavdb.com)
1 points by efavdb 10y ago|0 comments
219.
Simple python to LaTeX parser(efavdb.com)
2 points by efavdb 10y ago|0 comments
220.
Python deep reinforcement learning, battleship(efavdb.com)
3 points by efavdb 10y ago|0 comments
221.
by efavdb 10y ago
If you want to try on the Linux subsystem I would give a Linux guide a try. I would be surprised though.
222.
by efavdb 10y ago
His guide helped a lot, but it didn't for me. I like his sections for the optional add-ons though.
223.
by efavdb 10y ago
I suspect that it will work with CUDA 8, will have to give that a try.
224.
GPU Accelerated Theano and Keras with Windows 10(efavdb.com)
64 points by efavdb 10y ago|11 comments
225.
Hyperparameter sample-size-dependence: a gotcha illustrated and reviewed(efavdb.com)
2 points by efavdb 10y ago|0 comments
226.
Metropolis Algorithm and Bayesian posterior sampling(efavdb.com)
84 points by efavdb 10y ago|14 comments
227.
Interpreting the results of linear regression(efavdb.com)
3 points by efavdb 10y ago|0 comments
228.
Linear regression review: optimal solution and its variance(efavdb.com)
2 points by efavdb 10y ago|0 comments
229.
Average queue wait times with random arrivals(efavdb.com)
5 points by efavdb 10y ago|0 comments
230.
Improved Bonferroni correction factors for multiple pairwise comparisons(efavdb.com)
2 points by efavdb 11y ago|0 comments
231.
Get started with deep learning using Jupyter notebooks on AWS (for beginners)(efavdb.com)
3 points by efavdb 11y ago|1 comments
232.
Dotfiles to back up configs/automate installation. Conda and Emacs workflow(efavdb.com)
1 points by efavdb 11y ago|0 comments
233.
Audio de-mixing via ICA(efavdb.com)
2 points by efavdb 11y ago|0 comments
234.
Maximum-likelihood asymptotics(efavdb.com)
1 points by efavdb 11y ago|0 comments
235.
by efavdb 11y ago
Sklearn is a python package with a built-in PCA method that is easy to use... I can recommend it. http://scikit-learn.org/stable/modules/generated/sklearn.dec...
236.
Mathematics of PCA(efavdb.com)
8 points by efavdb 11y ago|3 comments
237.
Tutorial on Support Vector Machines for Classification(efavdb.com)
1 points by efavdb 11y ago|0 comments
238.
A review of parameter regularization and Bayesian regressions(efavdb.com)
3 points by efavdb 11y ago|0 comments
239.
Python Pandas Tips and Tricks(efavdb.com)
2 points by efavdb 11y ago|0 comments
240.
by efavdb 11y ago
Hi, I'm very happy to talk some more about this. My email is jslandy@gmail.com (will delete this post after you email).

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