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Day 3 of learning mathematics for AI/ML as a no math person. Topic: vectors as a building block. I decided go in much depth regarding vectors as it is one of the foundational topic in machine learning therefore I want to develop a really solid base

Day 2 of learning mathematics for AI/ML as a no math person. Topic: vectors and matrices. We use NumPy python library for these. I got introduced to the concept of vectors and matrices. Vectors are like lists and are divided Vectors are divided in

Day 2 of learning mathematics for AI/ML as a no math person. Topic: vectors and matrices. We use NumPy python library for these. I got introduced to the concept of vectors and matrices. Vectors are like lists and are divided Vectors are divided in

I’m trying to search for a co founder who’s deeply into AI and ML and has deep and great knowledge about AI agents. Currently building a marketplace for AI agents connecting AI agents provided by Dev’s and users who want services from freelancin

A cross border b2b ecommerce platform which helps importers to import goods from around the world while businesses can focus on their main core work. we do all the quality checks, logistics, customs and clearances for them while they order goods just

Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr

Day 1 of learning AI/Ml as a beginner. Topic: Streamlit I have decided to start learning about the core AI/ML concepts (while also learning mathematics side by side) however you may say that streamlit is not a core AI/ML concept they are NLP, Deep

🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

I once had this idea during a random chai break in college. My friend laughed. I laughed too. We never spoke about it again. A few months ago, I saw a startup pitch that felt eerily familiar. Same core problem. I keep wondering how many of our b