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Search - "ml"
I can't figure out shit..
To be honest I created this profile just so I can write down somewhere what I am going through.
So, once upon a time I had graduated from college and went right into a corporate (has only been 2 years since). I was fortunate enough that I got assigned a project that was just starting, and even though I had no clue what was going on, I started doing whatever was assigned.
I initially worked in java and then finished all my tasks earlier than expected, so they switched me to another C++ project that builds on top of it.
Fast forward 2.5 years, I'm now the team lead of the CPP project and all my friends who were in the core team have left the company.
As usual, the reason behind it is shitty management. These mfs won't hire competent people and WILL ABSOLUTELY NOT retain the ones that are. I can feel it in my bones that it is time for me to leave, but fuck me if I understand what I am good at.
I have been able to handle all the tasks that they threw at me, be it java or c++ - just because I love logic and algorithms. I have been dabbling in ML and AI since 4-5 years now, but could never go into it full time.
Now I'm looking at the job postings and Jesus Christ these bitches do not understand what they want. I have to be expert in 34567389 technologies, mastering each of whom (by mastering I mean become proficient in) would need at least 6-8 months if not more, all with 82146867+ years of experience in them.
I don't know if I am supposed to learn on Java (so spring boot and stuff) or I'm supposed to do c++ or I'm gonna go with Python or should I learn web dev or database management or what.
I like all of these things, and would likely enjoy working in each of these, but for fucks sake my cv doesn't show this and most of the bitch ass recruiter portals keep putting my cv in the bin.
If you have read so far, here's a picture of a cat and a dog.6
Started a new job last week. Pays a tad below average for position, but i get training time and budget for anything i want.
So far i have had few days of company introduction, and now a week for training courses related to position.
I have not seen any code yet, brought no value in, just joined.
Massive green flag to me.
Deep learning is probably (????) the only research branch where every successful paper title needs to be a stupid acronym or meme
I work in a conversational AI startup and the new intern that joined yesterday didn't understand half the memes or acronyms (especially all the Simpsons related) because apparently he's "Gen Z" and all the paper title is "Millennial" humour
He's only 2 years younger than me. Am I literally at the millennial - GenZ border ? Or the intern is out of touch ?8
If I was rich I think I'd donate to schools and children educational funds a lot
There's so much more that I've been able to learn about and do now that I have my own income stream and it's not just my dad supporting me and my 2 brothers himself. so I have the means to buy a server off eBay, or get books every few months on topics I find interesting, or upgrade my ram to an obscene 48GB to toy with ML and AI from my desktop when the whim arises, as well as all the stuff I'm learning to do with raspberry pi boards and my 3D printers, and the laptops I collect from people about to toss good fixable electronics
So I think I'd want to open the same doors for other children if I ever could who knows how much farther I could be if I had this same access when I was younger and didn't get access to my first 'personal' laptop when I was already 14 or 15 years old
I still consider my childhood 'lucky' and I had many opportunities other children couldn't get, but if I ever could I think I'd like to make future children have more opportunities in general1
I spent ~12h working on a simple issue/bug.
7h was spent on rebuilding local dev environment which is a clusterfuck of maven profiles, tomcat, some autogenerated degeneracy, and 2 different build systems for JS.
5h spent on actual bug fixing, code reviews and so on.
How to calculate PCA loadings when implementing from scratch in python:
1. Pca with eigen decomposition
2. Pca with svd
By loadings I mean coefficients/weights multiplied by actual column values to generate data.
Data = summation(wk * xk)
xk denotes columns/features in original dataset1
Get to know the new company better (Changed job shortly before Christmas).
Learn some DPs, DDD, k8s, finish introduction to hacking course, start doing htb and thm machines, finish and defend my thesis, finish books clean code, thinking in java (reading it to fill in gaps on knowledge), a few books about pentesting.
Among non tech goals: pass drivers license exam for cars, another one for motorcycles, go back to learning russian.
Working a week on LSTM based text classifier, getting 89% accuracy only to then get better result with Logistic Regression which was supposed to serve as baseline, lol. Background: 180+ classes of google product categorization taxonomy, 20 million rows of data items (short texts). Had a similar experience once on sentiment classification, where SVMlight outperformed NN models.
Update of previous post
I just got assigned to a project.
Project-specific training is designed to take up to 20 days.
I got materials, videos, and a person who is in this project for a long time to supervise training and introduce me to the project.
Only problem is that the project apparently uses 5 years old version of base framework.
frontend is very interesting as compared to backend. i find it nice that the technology evolved with a clear difference in frontend and backend. the whole sensors controlling, animations, music, videos, ... all belong to frontend code from which user is directly interacting. the whole data stuff , like transformation, crud, storage, transmission, etc stays on backend where it could be maintained properly.
i hope the industry don't mix them in future too(or if it does, like some new tech come up that removes the gap between FE nd BE, it must be worth it)
although i don't know much about ai/ml, open CV stuff and AR/VR . do the filters in snapchat, or the translator in google lens require a constant Frontend/backend connection?