Development these days is very complicated. You have to contend with many types of technologies. Source code management. Maven or Gradle build scripts. Testing of all sorts. Deployment to various destinations. The permutations are endless. CI/CD (continuous integration & continuous deployment) tools like Jenkins can handle several of these challenges. But sometimes all you need is a simple script to do the job. Continue reading “Using scripts to improve your workflow”
Artificial Intelligence is certainly a strange beast. I’ve read some really interesting articles on the subject recently on how creative and aggressive they can be. Below are the more interesting ones I’ve read.
Educating yourself on machine learning is a challenging preposition. There is so much content online that it’s easy to get fooled into reading an article that is beyond capabilities. Unfortunately, in many cases, reading and rereading this sort of content is often the only way to crack that nut open. But recently I’ve found some great resources that should hopefully be able to help the uninitiated into getting a foothold into this popular segment of IT. Continue reading “Learning the Basics of Machine Learning”
About two months ago I took steps to get into the Machine Learning bandwaggon. It was tough to take that first step for many reasons. The first was the tough decision of choosing the right programming language to learn. Did I want to stick to the JVM and Java or chose another JVM language? Take up Python. Or learn something else. This article from KDnuggets made that decision much harder. Luckily, due to circumstances from a recent project, I decided to turn to Scala. And so far, I haven’t been disappointed. Continue reading “Taking on Machine Learning”