Difference between machine learning and AI:

If it is written in Python, it's probably machine learning

If it is written in PowerPoint, it's probably AI

* Go to sleep at reasonable times
* Watch some of those anime I never quite finished
* Read more books
* Become more proficient with rust
* Replace go with rust at work
* Setup a weeb media center I can remotely
* Finally make a personal webpage/blog without overthinking things, to actually get it done
* Find or make a storage solution for all the memes I sto- I mean collected, where I can add tags to find them more quickly. Would love to have them have the tagging be done automatically with machine learning, but I don't think we're quite there yet.

"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.

How to psych-out a machine learning algorithm:

> Use a platform for 10 years
> Never like, comment, or give it any inkling of your preferences
> Like one random video
> Never log in again

To all my Machine Learning engineers, Ive been doing Frontend development for 6 years and I'm done. Wanting to get into machine learning because I've always loved data.

1. What is your day to day like?
2. Any advice for my learning journey?

Thank you🙏

Any example of machine learning / artificial intelligence on video auditing that the community knows of?

I am tired of switching my role at a startup where I work. I was primarily hired as a backend developer but some times i have to handle sprints, i have to become machine learning engineer, a devops engineer and now even frontend. Yuck. I am sòoooooo tired..

Need some advice. I’m a uni student and I really want to go into machine learning, data science, or computer vision. I have most of the skills and I feel I am fairly competent. However, the only professional experiences I have are web dev based. How can I make myself more appealing for data based roles? I really don’t want to do web dev anymore hahahahah

First computer I saw was an Apple II running Oregon Trail in grade school. Then I played computer games on my uncles Apple IIe. The first home video game I ever saw was Pong. It was a device you hooked to the RF input on the TV. It had 2 paddles to control the input (single axis controllers). The first game console I played on was the Atari. The first computer I programmed was on a black and white Macintosh. Then the other programmers in my high school told me the PC was better. Well, it was better for learning IMO. That was with Windows 3.0. But the programming was Turbo Pascal in DOS. DOS gave you complete control of the machine. Better at the time for me learning to do graphics and sounds programming. The first computer I bought was a 386 and I played with VR programming. Made my own joysticks using the limited joystick port. Fun times learning electronics and software together.

Have anyone used machine learning in real world use cases? (would be nice if you can describe the case in a few words)
I'm reading about the topic and do some testing stuff but at the moment my feeling is that ml is like blockchain. It solves a specific type of problem and for some reason everyone wants to have this problem.

Every time when someone tells me they are an expert of ML. I chuckled. I don't know the ML stands for Machine Learning or "MY LEGGGGG' from SpongeBob.