DAY 06 - Mar 2, 2017
Data Science meetup
Today I went to the Data Science meetup for “Using NLP & Machine Learning to understand and predict performance”. Fascinating stuff. Somewhat similar to my thesis work and the talk inspired a few ideas for future projects.
speaker = 'Thomas Levi'
topics_mentioned_at_meetup = [
"latent dirichlet allocation",
"collapsed gibbs sampling",
"bayesian inference",
"topic modelling",
"porter stemmer",
"flesch reading ease",
"word2vec"
]
for t in topics_mentioned_at_meetup:
print("- '{}' was mentioned".format(t))
- 'latent dirichlet allocation' was mentioned
- 'collapsed gibbs sampling' was mentioned
- 'bayesian inference' was mentioned
- 'topic modelling' was mentioned
- 'porter stemmer' was mentioned
- 'flesch reading ease' was mentioned
- 'word2vec' was mentioned
Anyways, I just got home and now (as I’m typing this) have 35 minutes to do something and post it for Day06.
Jupyter Notebook meet Jekyll blog post
Going back to a comment I recently recieved about including and embedding code to my jekyll blog posts. I thought I would tackle this problem now. The issue is that I use Jupyter Notebooks to explore and analyze data but I haven’t really looked at its integration with the Jekyll blog post. Until now.
Integration with Jekyll
- Add yaml front matter to the top of the Jupyter Notebook
- Convert Jupyter Notebook to markdown by
jupyter nbconvert --to markdown NOTEBOOK.ipynb - Delete empty first line of markdown/minor adjustments.
The original Jupyter Notebook is found here.