Using computer vision to segment photos of bookshelves
Cheatsheet for parsing XML in Python
Vaux's Swifts
Training hundreds of neural networks with Daisy
Quick post on spaCy
Climate classification with neural networks
Getting started with querying DBpedia
First steps with Elasticsearch, searching book catalog
Using Bayesian inference to pick Coffee Shops
Samples from Dirichlet distribution
Logistic Regression
Multidimensional Scaling
Regression with Gaussian Processes
Plotting Library Catalog Subjects
Singular Value Decomposition Demo
Inference in Hidden Markov Models continued: Viterbi Algorithm
Bayesian linear regression with `pymc3`
Gibbs Sampling in Python
Reading Jupyter notebooks into Python
Digitizing notes as a learning tool
Tour of digitized notes in Jupyter
Using ipywidgets to learn machine learning
SmallNORB notebook
Inference in discrete state Hidden Markov Models using numpy
Pasta machine processing images with numpy
Pretty scripts with Python's print statement
Quick blog update: Reading List
Bayesian Linear Regression part 4: Plots
Bayesian Linear Regression part 3: Posterior
Bayesian Linear Regression part 2: demo data
Narvik and Kiruna
Bayesian Linear Regression part 1: plotting samples from the weight prior
2017 Review
numpy.einsum
Implementing convolutions with stride_tricks
My talk at PyCon 2017 about Experiment Assignment
Fun with command line interfaces
-- in bash
xmllint --shell
Daylight Project: Part 2, travel.org
Daylight Project: Part 1, the result
New blog feature: posts source and commit history are on GitHub
Class variables in Python
The magic of deleting half of a blog post draft
Podcast Player, overview
My blue Bluetooth keyboard
Talking LED
Python3.5 type hints
‣ Unicode bullets in org-mode
Bookmarklet
Reviewing everything
Clocks in org-mode