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Burak Kanber, Engineer Author, tech CTO, engineer, and some other things too. Subscribe via RSS Twitter Contact Machine learning helps us navigate and process large volumes of data. We can ask all sorts of questions about our data, and hope that ML can answer them: what is this data point most similar to? Does the data come in patterns? Can we predict what will happen in the future, given past tre
Burak Kanber, Engineer Author, tech CTO, engineer, and some other things too. Subscribe via RSS Twitter Contact Today we're going to revisit the genetic algorithm. If you haven't read Genetic Algorithms Part 1 yet, I strongly recommend reading that now. This article will skip over the fundamental concepts covered in part 1 -- so if you're new to genetic algorithms you'll definitely want to start t
Burak Kanber, Engineer Author, tech CTO, engineer, and some other things too. Subscribe via RSS Twitter Contact I love machine learning algorithms. I've taught classes and seminars and given talks on ML. The subject is fascinating to me, but like all skills fascination simply isn't enough. To get good at something, you need to practice! I also happen to be a PHP and JavaScript developer. I've taug
Burak Kanber, Engineer Author, tech CTO, engineer, and some other things too. Subscribe via RSS Twitter Contact This is the first post in the Modeling Physics in Javascript series. As such, we'll need to cover some introductory material. There are some of you who have real training in physics and calculus. You may be tempted to scream "that's not the whole story" at me when I explain some concepts
Burak Kanber, Engineer Author, tech CTO, engineer, and some other things too. Subscribe via RSS Twitter Contact I like starting my machine learning classes with genetic algorithms (which we'll abbreviate "GA" sometimes). Genetic algorithms are probably the least practical of the ML algorithms I cover, but I love starting with them because they're fascinating and they do a good job of introducing t
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