Bytephilosopher

Not job it is internship and yeah through applying. Currently I am doing 2 internships. One related to machine learning and the other is AI engineering

Nothing at all. I don't regret what I have done so far.

Please my left 18 family where are you let's hit 1k. I need this sooo much.

Addis abeba university

Mostly networking matters and be the person to be trusted. Show your works. Build amazing stuff. Post it. That's what I can say

Next year 3rd

Be the hard worker. Both my mom and my dad are not from rich families. They took every opportunity they got and have what they have now. Especially my mom learned her master's and degree while giving birth. And now she has a PhD. So no matter when you learn, even though you are female, even though the opportunities you get are not enough, even though it seems hard to make it, if you are consistent and have goals, you can do it(with the will of God).

Love you too 🫶

In the current inflation rate, I can't even guess.

In my opinion, For financial independence do anything you get. Aside that for the ml/AI if you genuienly love that thing really stick to it. Have mentros first to know your progress. Plus rather than just jumping to tutorials, have a clear roadmap and follow it strictly. Have plans and take small steps daily.

I am yostina. AAU computer science student. currently working as machine learning and Ai engineering intern. I also do web for clients. And a person who love learning new things.

Jobs interview whooo

Didn't know the value of money till I get to university. Action: trying to make money

I can't 😂 @byte_philosopher

Yostina :)) A girl trying to live her dream. A girl trying to build life(community). A girl trying to make her family proud. And much more a girl who wants to become a happiness of others. @byte_philosopher

SMA??? Vent anything here. https://sma.robi.work/b/OtXPYTWnOI8Q

some tips #tips @byte_philosopher

me watching macbook pro M5 with just having mac intel🤧 one day we may get it. @byte_philosopher

The ML Roadmap is finally live. When I started learning ML, the hardest part wasn't the math or the code. It was not knowing what to learn next. I ended up learning everything I could find, and honestly a good chunk of it I never use. Along the way I kept notes on the parts that actually mattered, and this roadmap came out of those notes plus a lot of research on how to order the nodes properly, from fundamentals all the way to deployment. What's in it: a checklist at every node, questionnaires to test yourself, over 80 curated resource links, and real projects built on actual datasets. It starts by figuring out where you already are and points you to the right node instead of making you start from zero. Nodes stay locked until you finish the one before it, so the path stays honest. This is the first version and it will keep growing. I'd like to hear what the experience feels like, what's missing, and what you'd want added. Check it live at : Link

ፍልሰተ ሥጋሃ ለእግዝእትነ ማርያም ወፍልሰተ ሥጋሁ ለቅዱስ ጊዮርጊስ ወጊጋር መስፍነ ሶርያ

በወርቅ ልብስ ተጐናጽፋና ተሸፋፍና ንግሥቲቱ በቀኝህ ትቆማለች። መዝሙረ ዳዊት 45:9

📍ሐመረ ኖህ እንጦጦ ኪዳነ ምህረት @byte_philosopher