Machine Learning and Data Mining Expert
Continuing the benchmark of libraries for nearest-neighbour similarity search, part 2. What is the best software out there for similarity search in high dimensional vector spaces?
Read more on Performance Shootout of Nearest Neighbours: Contestants…
Violent as the title sounds, I’ll be actually benchmarking software packages that realize the nearest-neighbour search in high dimensional vector spaces. Which approach is the fastest, easiest to use, the best? No neighbours got harmed writing this post.
Read more on Performance Shootout of Nearest Neighbours: Intro…
I write these lines as I recover my voice from the Pioneers Festival 2013 in Vienna, a major event in the world of IT startups, investors and the media. I’m not used to talking so much, for so long :-) Read more on Money, startups, fame, bullshit…
Gensim, the machine learning library for unsupervised learning I started in late 2008, will be celebrating its fifth anniversary this November. Time to reminisce and mull over its successes and failures :)
Read more on Five Years of Gensim…
I intend to keep this blog mostly technical. But since it’s the eve before parliamentary elections here in the Czech Republic, I feel a small politically-technical rant is in order.
Read more on Technology vs. politics, round 1…
The final installment on optimizing word2vec in Python: how to make use of multicore machines.
You may want to read Part One and Part Two first.
Read more on Parallelizing word2vec in Python…
Last weekend, I ported Google’s word2vec into Python. The result was a clean, concise and readable code that plays well with other Python NLP packages. One problem remained: the performance was 20x slower than the original C code, even after all the obvious NumPy optimizations.
Neural networks have been a bit of a punching bag historically: neither particularly fast, nor robust or accurate, nor open to introspection by humans curious to gain insights from them. But things have been changing lately, with deep learning becoming a hot topic in academia with spectacular results. I decided to check out one deep learning algorithm via gensim.
EDIT: went live on 8th September, comments and suggestions welcome :-)