If you have a server that is part of the Hadoop cluster, then you probably want your Hadoop daemons to run at startup. If you have done some Linux system administration, then you have probably encounter systemctl command here and there. This command is part of the Systemd, used for bootstrapping and managing system processes. … Read more
I recently started playing with Hadoop to learn some data analysis. To make it more fun, I decided to fiddle with F1 datasets, specifically the Constructor And Overall Race Results. In this post, I’ll describe the three main process involved in this task. The preparation of data, followed by the two map reduce task, mapping … Read more
I’ve been following Formula 1 for 5 years now. Might seem like a lot, but considering Formula 1’s first race was in the 1950s, I barely scraped the surface in terms of know it. This is why I decided to write these series of F1 Data Analysis blogs, to get to know the sports more. And … Read more
Before I begin this post, I think it would be important for me to qualify with a statement about electric cars. I am in no way antithetical to electric cars. The possibilities that they would bring is immense. The fact that it has less moving parts translates to less transfer of energy, which would make it … Read more
Docker is one of those development projects that lived up to the hype. It allows you to package and ship your application, without having to worry as much about the deployment environment. Key phrase: “as much” Unfortunately, it is no silver bullet. Take for instance the Jenkins’ docker repository. When you decided to use this … Read more
Coarse Coding, such as Tile Coding, is a nice way of storing a model of the environment linear in nature or have ordinal characteristics (for instance, alphabets are ordinal since it can be ordered: A < B < C, …). The image above illustrates how Coarse Coding may be utilized. a) Narrow Generalization is for … Read more
With my Sparse Distributed Memory (SDM) basic implementation finally done, in which the Up/Down Counters won’t overflow, I’m ready to embark something bigger. At the moment, my implementation stores everything in random-access-memory (RAM), which is very limiting. I have utilized SDM with my reinforcement learning (rl), solving entailments in a set of 11,000 metrics, which … Read more
Sparse Distributed Memory (SDM) is a fascinating way of managing the exponential growth in memory. As opposed to the traditional random-access memory (RAM) where there is a one to one correspondence between an address and a hard location, SDM can map multiple addresses to a multiple of hard location. I won’t delve into why this … Read more