# Posts by Category

## Deep (learning) like Jacques Cousteau - Part 7 - Matrices

(TL;DR: matrices are rectangular arrays of numbers.)

## I walk the (train) line - part quatre - Tell me why

(TL;DR: Dijkstra’s algorithm is correct. Mathematical proof inside <3<3<3)

## Deep (learning) like Jacques Cousteau - Part 6 - Dot products

(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)

## Deep (learning) like Jacques Cousteau - Part 5 - Vector addition

(TL;DR: You can add vectors that have similar dimensions.)

## Deep (learning) like Jacques Cousteau - Part 4 - Scalar multiplication

(TL;DR: Multiply a vector by a scalar one element at a time.)

## Deep (learning) like Jacques Cousteau - Part 3 - Vectors

(TL;DR: Vectors are ordered lists of numbers.)

## Deep (learning) like Jacques Cousteau - Part 2 - Scalars

(TL;DR: Scalars are single numbers.)

## Deep (learning) like Jacques Cousteau - Part 1 - Sets

(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)

## RStudio’s multiple cursors rule!

(TL;DR: Come on. This is pretty short. Productivity level up by harnessing the power of RStudio!)

## I walk the (train) line - part trois - Dijkstra’s revenge

(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...

## (Trying) to get to the top of R-bloggers emails

(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...

## I walk the (train) line - part deux - the weight loss continues

(TL;DR: author continues to use his undiagnosed OCD for good. Breath-first search introduced on simple graph.) We learnt how to get OpenStreetMap data into ...

## I walk the (train) line - part un

(TL;DR: author begins quest to use undiagnosed OCD to come up with different paths to walk to work…all in the name of weight loss) I love to walk. I’m in b...

## Rent-scraping: How I saved money using R

(TD;DR: Received letter from real estate increasing my weekly rent. Reason for increase was not supported by evidence. Used R to look for evidence supporting...

## Learning to rank is good for your ML career - Part 2: let’s implement ListNet!

The second post in an epic to learn to rank lists of things!

## Learning to rank is good for your ML career - Part 1: background and word embeddings

The first post in an epic to learn to rank lists of things!

## Get deep-learnin’ on Google Cloud Platform the easy way

Create a Deep Learning VM on GCP in 2 minutes

## Deep (learning) like Jacques Cousteau - Part 7 - Matrices

(TL;DR: matrices are rectangular arrays of numbers.)

## Deep (learning) like Jacques Cousteau - Part 6 - Dot products

(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)

## Deep (learning) like Jacques Cousteau - Part 5 - Vector addition

(TL;DR: You can add vectors that have similar dimensions.)

## Deep (learning) like Jacques Cousteau - Part 4 - Scalar multiplication

(TL;DR: Multiply a vector by a scalar one element at a time.)

## Deep (learning) like Jacques Cousteau - Part 3 - Vectors

(TL;DR: Vectors are ordered lists of numbers.)

## Deep (learning) like Jacques Cousteau - Part 2 - Scalars

(TL;DR: Scalars are single numbers.)

## Deep (learning) like Jacques Cousteau - Part 1 - Sets

(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)

## Deep (learning) like Jacques Cousteau - Part 7 - Matrices

(TL;DR: matrices are rectangular arrays of numbers.)

## Deep (learning) like Jacques Cousteau - Part 6 - Dot products

(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)

## Deep (learning) like Jacques Cousteau - Part 5 - Vector addition

(TL;DR: You can add vectors that have similar dimensions.)

## Deep (learning) like Jacques Cousteau - Part 4 - Scalar multiplication

(TL;DR: Multiply a vector by a scalar one element at a time.)

## Deep (learning) like Jacques Cousteau - Part 3 - Vectors

(TL;DR: Vectors are ordered lists of numbers.)

## Deep (learning) like Jacques Cousteau - Part 2 - Scalars

(TL;DR: Scalars are single numbers.)

## Deep (learning) like Jacques Cousteau - Part 1 - Sets

(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)

## Deep (learning) like Jacques Cousteau - Part 7 - Matrices

(TL;DR: matrices are rectangular arrays of numbers.)

## Deep (learning) like Jacques Cousteau - Part 6 - Dot products

(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)

## Deep (learning) like Jacques Cousteau - Part 5 - Vector addition

(TL;DR: You can add vectors that have similar dimensions.)

## Deep (learning) like Jacques Cousteau - Part 4 - Scalar multiplication

(TL;DR: Multiply a vector by a scalar one element at a time.)

## Deep (learning) like Jacques Cousteau - Part 3 - Vectors

(TL;DR: Vectors are ordered lists of numbers.)

## I walk the (train) line - part quatre - Tell me why

(TL;DR: Dijkstra’s algorithm is correct. Mathematical proof inside <3<3<3)

## I walk the (train) line - part trois - Dijkstra’s revenge

(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...

## I walk the (train) line - part deux - the weight loss continues

(TL;DR: author continues to use his undiagnosed OCD for good. Breath-first search introduced on simple graph.) We learnt how to get OpenStreetMap data into ...

## I walk the (train) line - part un

(TL;DR: author begins quest to use undiagnosed OCD to come up with different paths to walk to work…all in the name of weight loss) I love to walk. I’m in b...

## Statistical significance intuition

An attempt at explaining a difficult concept in a characteristically dense but intuitive way

## I have a problem with socks

Let’s learn how to answer the famous probability interview question involving pairs of socks.

## Images as data structures: art through 256 integers

Let’s cover the basics of images as data structures, meet some psychedelic cats and ‘paint’ a hot pink chessboard using NumPy!

## How to plan your life

Practical lessons from Oliver Burkeman’s “Four Thousand Weeks”

## An antidote to hustle culture: a better way to manage your time

Oliver Burkeman’s “Four Thousand Weeks” is already one of the best books I’ve ever read

Before we begin:

## Learning to rank is good for your ML career - Part 2: let’s implement ListNet!

The second post in an epic to learn to rank lists of things!

## Learning to rank is good for your ML career - Part 1: background and word embeddings

The first post in an epic to learn to rank lists of things!

## Docker and Makefiles

A whale of a time!

## Render LaTeX in Google Docs

This is for all the students out there!

## (Trying) to get to the top of R-bloggers emails

(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...

## Rent-scraping: How I saved money using R

(TD;DR: Received letter from real estate increasing my weekly rent. Reason for increase was not supported by evidence. Used R to look for evidence supporting...

## I walk the (train) line - part trois - Dijkstra’s revenge

(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...

## (Trying) to get to the top of R-bloggers emails

(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...

## I walk the (train) line - part quatre - Tell me why

(TL;DR: Dijkstra’s algorithm is correct. Mathematical proof inside <3<3<3)

## I walk the (train) line - part trois - Dijkstra’s revenge

(TL;DR: Author algorithmically confirms what he already knows - that there is a way to get from Newtown Station to a tasty burger. Shortest path from Newtown...

## Get deep-learnin’ on Google Cloud Platform the easy way

Create a Deep Learning VM on GCP in 2 minutes

## Docker and Makefiles

A whale of a time!

## Learning to rank is good for your ML career - Part 2: let’s implement ListNet!

The second post in an epic to learn to rank lists of things!

## Learning to rank is good for your ML career - Part 1: background and word embeddings

The first post in an epic to learn to rank lists of things!

## Learning to rank is good for your ML career - Part 2: let’s implement ListNet!

The second post in an epic to learn to rank lists of things!

## Learning to rank is good for your ML career - Part 1: background and word embeddings

The first post in an epic to learn to rank lists of things!

## How to plan your life

Practical lessons from Oliver Burkeman’s “Four Thousand Weeks”

## An antidote to hustle culture: a better way to manage your time

Oliver Burkeman’s “Four Thousand Weeks” is already one of the best books I’ve ever read

## (Trying) to get to the top of R-bloggers emails

(TL;DR: Author analyses R-Bloggers emails using Gmail API. Decides on when to post to get to the top of the email list. This could either work well or fail s...

## RStudio’s multiple cursors rule!

(TL;DR: Come on. This is pretty short. Productivity level up by harnessing the power of RStudio!)

## Images as data structures: art through 256 integers

Let’s cover the basics of images as data structures, meet some psychedelic cats and ‘paint’ a hot pink chessboard using NumPy!

## I have a problem with socks

Let’s learn how to answer the famous probability interview question involving pairs of socks.

## Learn to code for data: a pragmatist’s guide

A recipe to go from spreadsheet to code

## Learn to code for data: a pragmatist’s guide

A recipe to go from spreadsheet to code

## Learn to code for data: a pragmatist’s guide

A recipe to go from spreadsheet to code

## The best bolognese recipe

Well, that was unexpected…