ቤተሰብ እንዴት አላችሁ?

when I was scrolling through x I found out this resource: AI Engineering from Scratch check it out ... + I have previously sent a text based free course site namely: apxml.com and also check that out ...


ig it will be useful

@sudojajos

Software engineering is the only job where the interview is harder than the actual work

@byte_philosopher

Job Opportunity: ML Engineer (Addis Ababa, Ethiopia)

Synheart is hiring a full-time ML engineer to train and fine-tune AI models, and to collect, clean, and prepare data. Graduates at any level are welcome to apply.

Requirements:

If you are very ambitious, fast learner, can adapt easily and loves research then come join us.

Based in Addis Ababa, full-time availability
Hands-on experience with ML training and data work
Portfolio or sample projects strongly encouraged


To apply, send a short, focused email with your CV and projects to with subject ML Engineer May 2026 yisak@synheart.ai.

Website: https://synheart.ai/

First ever youtube short and video
after a Hackathon submission obligated me 🤣🤣

We for our children:

We used to memorize the whole syntax

😂
@byte_philosopher

Our second video podcast is LIVE on YouTube and we're tackling "The road to be a good designer".

Featuring: Bereket Daniel
The Vibe: 🎸 + 👨‍🎨

Watch here: YouTube Link

We have also prepared a giveaway, so make sure to watch the full video.

Share to save your discipline and financial knowledge.

@cyber_Guardian5

As always Mr stark 🔥
@byte_philosopher

My friends are doing cyber security threat research please help them by filling this form. It doesn't take much time.

[Link]
@byte_philosopher

Update for the 2 week lockin

maximum-sum-bst-in-binary-tree
kth-largest-element-in-an-array
first-missing-positive
merge-k-sorted-lists

For the ML project I finished predicting price moves with news sentiment. Here is a brief description about it

It is a data analytics pipeline that quantifies the relationship between financial news sentiment and stock price movements using NLP techniques and technical indicators (RSI, MACD, Moving Averages). The project performs correlation analysis between sentiment scores from headlines and daily stock returns, delivering actionable investment insights through exploratory data analysis and statistical modeling.

[Git Repo]

#Lockin
@byte_philosopher

My friend just started documenting her dev journey. She is also very good at art. Please check her.
[ her channel ]

@byte_philosopher

These are resources and articles i used to do the above pipeline
Stock Market
stockmarket.asp
stock-analysis.asp

Python Testing
a-gentle-introduction-to-unit-testing-in-python
python-testing

Python Packages:
textblob
pynance
ta-lib
Data Engineering

#ML #lockin
@byte_philosopher

ነበረው እንዴ 🤔
@byte_philosopher

Good night good morning 😁

@byte_philosopher

I was watching Babi's ScholarXIV launch video. It is really cool. While watching, I compared it with Google Scholar, and it has features that can even invite non-technical people to read and conduct more research.

@byte_philosopher

We at GDG tech fest🤗

@byte_philosopher

Morph is here

@byte_philosopher

AI would take your job if you don't evolve with it

-- Morph&beyond

@byte_philosopher

Soooo……

We launched Kewti, a Ethiopia native component library.

Open source and live on npm, check it out

https://kewti-components.vercel.app/

@eyu_terminal
@nebi_uoy
@kalunfiltered

For this week we gonna work on a rigorous analytics pipeline that transforms raw Play Store reviews into actionable insights: quantifying sentiment ,identifying recurring themes, and translating them into concrete recommendations .

@byte_philosopher