I’ll admit it up front, this is not as much of a “when to use it” post as it is a “what is it” post. Never fear, I’ll still fill you all in on when to use it. Also, I’m talking about the data structure for storing strings, not the synonym for attempts.
What is it?
A trie is a data structure that is used for fast string searching. A trie has a root node, and a node for each character in the string. The nodes are constructed such that traversing the tree from the root to a leaf reconstructs one of the strings that is stored in it.
As I’ve previously mentioned, I’m currently enrolled in Andrew Ng’s Machine Learning class on coursera.org (still highly recommended!). This post will cover when to use logistic regression, which is a nice technique for classification in the field of ML.
I’m currently enrolled in Andrew Ng’s Machine Learning class on coursera.org (highly recommended!) and thought I’d write a post about one of the first topics we’re covering, linear regression. Though Dr. Ng explains the mechanics of this technique very clearly, there’s not many examples of situations in which the technique is commonly used, or examples of the types of problems that are solved by the techniques. I’ll do my best to fill in this gap!
What is linear regression?
Linear regression is the technique of approximating output values for a given input set using a polynomial function. Given an input matrix X & an output vector Y, find coefficients A & B such that XA + B produces a vector that is as close to Y as possible. Finding the coefficients A & B allows a person to then predict output values given similar input values.
When to use it?
Linear regression assumes that the relationship between the input values in X and the dependent values in Y have a linear relationship. Also, linear regression produces values that can be used as coefficients in a continuous function. So, if you suspect that your inputs and outputs have a linear relationship, and the output is effectively continuous (rather than discrete), try using linear regression to approximate the relationship.
Get your brains ready folks, this is a mental adventure that you don’t want to miss!
Stabby functions, also known by their more boring official name Arrow Functions, were introduced to help eliminate
this hacks. What are
Well that didn’t take long – this post is not about when to use technology. Instead, it’s about window sizes.
Let’s say you’re developing a simple alternative to the TriMet website, where riders can (among other things) check real-time location of buses and trains. This means that your website will need to query the TriMet TransitTracker service when one of your site’s users performs a search.
So now your life has many more problems than just a moment ago. How does your code get called when the TransitTracker service:
- returns the real-time location information?
- is unavailable?
Further, how do you implement your site so that it shows on-time arrivals in green, and late arrivals in red?
Hi, I’m Avi Tevet, currently a freelance developer based in Portland, OR. I’m going to be writing about not only how to use technology, but also when to use it.