Currently getting into Machine Learning and working on a joke-project to identify the main programming language of GitHub repositories based on commit messages. For half of the commits, the language is predicted correctly out of 53 possible languages. Which is not too bad given the fact that I have no clue what I'm doing...

"So Alecx, how did you solve the issues with the data provided to you by hr for <X> application?"

Said the VP of my institution in charge of my department.

"It was complex sir, I could not figure out much of the general ideas of the data schema since it came from a bunch of people not trained in I.T (HR) and as such I had to do some experiments in the data to find the relationships with the data, this brought about 4 different relations in the data, the program determined them for me based on the most common type of data, the model deemed it a "user", from that I just extracted the information that I needed, and generated the tables through Golang's gorm"

VP nodding and listening intently...."how did you make those relationships?" me "I started a simple pattern recognition module through supervised mach..." VP: Machine learning, that sounds like A.I

Me: "Yes sir, it was, but the problem was fairly easy for the schema to determ.." VP: A.I, at our institution, back in my day it was a dream to have such technology, you are the director of web tech, what is it to you to know of this?"

Me: "I just like to experiment with new stuff, it was the easiest rout to determine these things, I just felt that i should use it if I can"

VP: "This is amazing, I'll go by your office later"

Dude speaks wonders of me. The idea was simple, read through the CSV that was provided to me, have the parsing done in a notebook, make it determine the relationships in the data and spout out a bunch of JSON that I could use. Hook it up to a simple gorm golang script and generate the tables for that. Much simpler than the bullshit that we have in php. I used this to create a new database since the previous application had issues. The app will still have a php frontend and backend, but now I don't leave the parsing of the data to php, which quite frankly, php sucks for imho. The Python codebase will then create the json files through the predictive modeling (98% accuaracy) and then the go program will populate the db for me.

There are also some node scripts that help test the data since the data is json.

All in all a good day of work. The VP seems scared since he knows no one on this side of town knows about this kind of tech. Me? I am just happy I get to experiment. Y'all should have seen his face when I showed him a rather large app written in Clojure, the man just went 0.0 when he saw Lisp code.

I think I scare him.

Machine learning is overhyped. A fellow halfwitted well-wisher wants my colleague to use supervised classification for a freaking search and replace problem.

Whenever I start talking about machine learning the first question I get from the pretentious ones is, "Is it supervised or unsupervised classification?"

Decided to continue my studies because I really wanted to go into Artificial Intelligence. Even though I've learnt some here and there in Machine Learning, Deep Learning and its various modules of supervised and unsupervised learning but I felt like that I'm not getting anywhere and need some proper guidance. Decided I could take a Masters in this specific field with a lecturer's guidance.

Enter my boss, I've asked for consent if its OK for me to continue my studies. He goes on and on that employees are valuable and that we're at the start of a big project currently (even though I've asked that I'm thinking of taking the next intake in September 2019) and couldn't afford to lose my time to studying A.I. Not only that, he insulted that A.I. is useless in a Fintech company. And instead he wants me to learn about blockchain tech.

Who is the choosing beggar here?

I mean OK, I get it. I've seen mature students who took on part-time studies to get diplomas and degrees and I understand the huge stress in assignments and research. I'm well aware of that and I've done self-paced studies for a long time now. I believe I can handle the pressure and time management in juggling between work, study and life through past experience and observation. How is this any different aside from doing towards a degree?

He even felt threaten that I might leave and get a better and different job after I graduate. Does he think I'm stupid to tell him about my intention if I knew that I'll be getting a better paying with more perks job than what I already have with him? I didn't want to leave my good job as there's loads of things I want to do for the company. But since his attitude towards my education pursuit shows, I think I just might. I don't know. I like the company I'm working for. Just not for him.

Just Started learning unsupervised learning algorithms, and i write this: Unsupervised Learning is an AI procedure, where you don’t have to set the standard. Preferably, you have to allow the model to take a chance at its own to see data.

Unsupervised Learning calculations allow you to make increasingly complex planning projects contrasted with managed learning. Albeit, Unsupervised Learning can be progressively whimsical contrasted and other specific learning plans.

Unsupervised machine learning algorithm induces patterns from a dataset without relating to known or checked results. Not at all like supervised machine learning, Unsupervised Machine Learning approaches can’t be legitimately used to loss or an order issue since you have no proof of what the conditions for the yield data may be, making it difficult for you to prepare the estimate how you usually would. Unsupervised Learning can preferably be used to get the essential structure of the data.