@codingmermaid.bsky.social

Let me deinfluence you on why your personal brand is failing, as person who's had a personal brand that's 9 years old before the social media leverage it has today. 👇🏻

So OpenAI says it plans to charge up to $20,000/month for specialized AI agents. Time to cancel my ChatGPT subscription and just fine tune DeepSeek R1 to become my PhD AI agent from Temu.

Prerequisites - this you have to know or at least have a good grasp of • A programming language (Python) • An intuitive understanding of AI and its subsets • Math foundations (probability and stats, linear algebra) • General data analysis and manipulation • SQL Save this post and let’s move on:

Vertical AI agents are transforming the AI industry Here’s what you need to learn to put yourself out there. • Understand Autonomous Agents • Master Goal-Driven Behavior • Explore Multi-Agent Systems • Learn Reinforcement Learning Basics • Hands-On Practice

🚀 Data Science in 2025 ≠ Data Science in 2018 It's still worth learning data science, but the game changed. If you want to succeed, follow these 10 rules. They may feel harsh on you, but I promise they work. 10 Rules for Thriving in Data Science

Stop seeing other data scientists as your competition When I started in data science, I felt intimidated by those who were ahead of me. Seeing people land Big Tech roles effortlessly or make 6- and 7-figure salaries made me question if I was doing enough.

It's 2025 and you shouldn't learn how to code just to code. Coding is a skill that has application in multiple field. Instead of wasting time choosing the best programming language, you should take time to explore what you want to do.

I started learning Agentic AI few weeks ago. I had the general idea about Agents and reinforcement learning from uni, but the last few weeks took my breath away. I can freely say, the third AI wave is here, and I'm so ready for it!

I am a bad data scientist. At least that’s what I’d say now if I was 18 years old and was in my junior high school year. I almost failed it btw. I had bad grades not just at math but everything else - digital electronics, computer architecture, programming, even my native language.

👉7 Lessons I Learned from more experienced data science experts When I started in data science, I quickly realized that technical skills are just one piece of the puzzle. Working with seasoned experts has taught me lessons that have shaped how I approach every project. Here are 7 key takeaways:

Hey friends! Your favorite data and AI mermaid is on here. Algorithm, do your thing: - Data science - Python - Machine learning - LLMs - AI - Freelancing - Entrepreneurship - Personal brand