An opinionated recommendation for data science: Python environemnt, scikit-learn for Machine Learning and Keras for Deep Learning. At Product Tech Stories Meetup @ Codility
analogies, per-char translations, playing ATARI games, Go, [no idea what’s next] • fast-paced (more than my quantum physics PhD): 6 month ago a breakthrough, now a baseline • (no questions about Singularity please!)
language + new stuff + Jupyter Notebook • not R, MATLAB or Julia? http://sebastianraschka.com/blog/2015/why-python.html • not JavaScript? oh, wait… http://cs.stanford.edu/people/karpathy/convnetjs/ • warning: Python 2.7 is still the default :/
• fast, reliable • good documentation • XGBoost has its interface • not much for time series (statsmodels, R forecast) • or natural language processing (spaCy, gensim)
the right level (the rule of least power) • a LOT of EASY examples for NEW techniques • (yes, we can do a sparse Matrix Factorisation) • also for JavaScript, with GPU support :) https://github.com/transcranial/keras-js