Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).
My own notes from a few months back.
duplicates = multiple editions
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen
| from scipy.stats import dirichlet, poisson | |
| from numpy.random import choice | |
| num_documents = 5 | |
| num_topics = 2 | |
| topic_dirichlet_parameter = 1 # beta | |
| term_dirichlet_parameter = 1 # alpha | |
| vocabulary = ["see", "spot", "run"] | |
| num_terms = len(vocabulary) |
| docker rmi $(docker images -q -f dangling=true) |
| <div id="chart"> | |
| <h4>Percent of adults over 25 with at least a bachelor's degree:</h4> | |
| <p><strong>Median:</strong> <span class="median"></span></p> | |
| <small>Source: <cite><a href="http://census.gov">U.S. Census Bureau</a></cite>, via <cite><a href="http://beta.censusreporter.org/compare/01000US/040/table/?release=acs2011_1yr&table=B15003">Census Reporter</a></cite></small> | |
| </div> |
| # Editor backup files | |
| *.bak | |
| *~ |
