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Kernel tricks and nonlinear dimensionality reduction via RBF kernel PCA (in #Python) http://sebastianraschka.com/Articles/2014_kernel_pca.html … pic.twitter.com/pu7WlwO8n5
Why I love #Python: needed to general. names to merge data for my sports prediction models. 20 lines and I was done: https://github.com/rasbt/python_reference/blob/master/useful_scripts/preprocess_first_last_names.py …
Give it a read: Transcript of a recent NIPS talk: "Big Data, Machine Learning, and the Social Sciences" https://medium.com/@hannawallach/big-data-machine-learning-and-the-social-sciences-927a8e20460d …
3 retweets 7 favorites
Also, the latest @partiallyd with 2015 predictions was the best episode yet, and if you like data and podcasts, highly recommend a listen.
The Machine Learning Salon Kit - 150 pages of useful material to take a deep dive into #machinelearning http://www.machinelearningsalon.org/download.html
Blaze, a nice #Python library to handle large collections of CSV files! http://nbviewer.ipython.org/url/blaze.pydata.org/notebooks/timings-csv.ipynb …
A truly wonderful TED talk for the holidays:"The wonderful and terrifying implications of computers that can learn" http://www.ted.com/talks/jeremy_howard_the_wonderful_and_terrifying_implications_of_computers_that_can_learn …
5 retweets 8 favorites
The Messy Minds of Creative People | Beautiful Minds, Scientific American Blog Network http://blogs.scientificamerican.com/beautiful-minds/2014/12/24/the-messy-minds-of-creative-people/ …
6 retweets 6 favorites
Thanks! RT @joshvoss_net: Love #data? Check out @partiallyd | http://www.partiallyderivative.com .
I just tried to speed up my #pandas #python code and by trial&error I came up with some tricks ... Hopefully useful! http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/benchmarks/pandas_sum_tricks.ipynb …
It makes absolute no sense that #peerreview is usually conducted by ~3 persons #openscience #opendata happy holidays to all
What are the downsides of being a data scientist? - Legit point -> "no one knows exactly what a data scientist is." https://www.quora.com/What-are-the-downsides-of-being-a-data-scientist …
1 retweet 3 favoritesLinear Algebra follow-up: great class starting (again) on @coursera in Feb: You'll learn LA by doing it in #Python https://www.coursera.org/course/matrix
A #Python tool that'll come in (very, very) handy! "GoogleScraper - Scraping search engines professionally" https://github.com/NikolaiT/GoogleScraper …
"Linear Algebra for Machine Learning" - I agree, Linear Algebra skills are important to enjoy (and use) it fully! http://machinelearningmastery.com/linear-algebra-machine-learning/ …
10 retweets 17 favorites
Awesome! Ranking college football teams using Markov chains. Welcome to @millsGT49, guestposting @_thespread! http://thespread.us/continuous-markov-ratings.html …
The Cost of Healthy Eating: https://plot.ly/~Jackson/7/the-cost-of-healthy-eating/ … via @plotlygraphs No, I don't let it discourage me! pic.twitter.com/F7LJKvSWuh
interpreting random forests http://blog.datadive.net/interpreting-random-forests … #machinelearning pic.twitter.com/RBbLKL3C32
By restricting yourself to work on stuff you fully understand theoretically, you are condemned to using concept. simple methods. -Yann LeCun
3 retweets 8 favoritesYann LeCun about convnets: "[...] no one really cares how long it takes to train. But [...] how long it takes to run "http://blog.kaggle.com/2014/12/22/convolutional-nets-and-cifar-10-an-interview-with-yan-lecun/ …
5 favorites
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