Oyedokun Oluwatobiloba (@devaladey) profile picture

Oyedokun Oluwatobiloba

@devaladey

Full-stack dev learning AI in public 🧠 | HTML CSS JS React Next.js Python & more | Documenting my AI journey daily | Come learn with me 👇

 Lagos, Nigeria
Joined May 2022
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Photo by Oyedokun Oluwatobiloba (@devaladey)
I went quiet for a few days Not because I stopped learning But because I was heads down studying 📚 Back now and we're not slowing down Activation Functions, Backpropagation, NLP, LLMs and more coming 🔥 Did you miss the AI breakdowns? 👇 #AI #LearnInPublic
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ChatGPT, self driving cars, face recognition They all have one thing in common Deep Learning 🧵 Let me show you how it actually works #AI #LearnInPublic
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First — remember Neural Networks? A Neural Network is like a brain with layers Deep Learning is just a Neural Network with MANY more layers The word "deep" literally means depth of layers More layers = more understanding 🧠
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2 weeks of learning AI in public done ✅ What I've covered so far: 🤖 What AI actually is 🧠 Neural Networks 📊 Supervised vs Unsupervised ⚖️ Bias vs Variance 📉 Loss Functions & more And I'm just getting started Drop a 🔥 if you've been following along #AI #LearnInPublic
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How does AI know when it's wrong? One word — Loss Function This is what makes AI actually learn 🧵 #AI #LearnInPublic
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Remember y = mx + b? The model makes a prediction But that prediction is rarely perfect at first Loss Function measures HOW WRONG the prediction is The bigger the mistake → the higher the loss The smaller the mistake → the lower the loss 🎯
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Why do AI models fail even after training? Two reasons — Bias and Variance This one changed how I think about ML 🧵 #AI #LearnInPublic
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Let's start with Bias Imagine an archer shooting at a target 🎯 Every arrow lands in the same spot But that spot is far from the bullseye The archer is consistent But consistently wrong That's High Bias
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Overfitting is like a student who memorizes answers but doesn't understand the subject They ace practice tests Fail the real exam AI does the same thing The goal is always to learn patterns not memorize data 🎯 #AI #LearnInPublic
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Two things that can ruin your AI model Overfitting and Underfitting Most beginners don't know the difference 🧵 #AI #LearnInPublic
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Let's start with Overfitting Remember our student studying for an exam? Imagine they memorized every past question word for word But never understood the concept They ace the past questions But fail the real exam completely That's Overfitting 📝
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The more I learn about AI the more I realize It's not magic It's just math, data and patterns Anyone can understand it 🎯 #AI #LearnInPublic
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How do you know if AI actually learned something? Two words — Training and Testing Data 🧵 #AI #LearnInPublic
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Think about studying for an exam 📝 You spend weeks going through past questions You learn the patterns You understand the concepts Those past questions = Training Data That's what the model learns from
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Two words every ML engineer uses daily Features and Labels Let me explain with something you already know 🧵 #AI #LearnInPublic
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Imagine you're trying to predict if someone is a good footballer ⚽ You look at: 📌 Speed 📌 Goals scored 📌 Dribbling ability 📌 Fitness These are the things you observe to make a judgment In ML these are called Features
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One week of learning AI in public done ✅ What I expected: robots and rocket science What it actually is: patterns, data and a lot of googling 😭 Best decision I made was just starting #AI #LearnInPublic
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Everyone talks about AI models But nobody explains what a model actually is 🧵 Let me break it down simply #AI #LearnInPublic
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A model is just a function that takes input and gives output 📸 Input: photo of a dog 🤔 Model: processes it 🐶 Output: "that's a dog" That's it A model is just a very smart function
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AI didn't start with ChatGPT 🤯 1950 — Can machines think? 1997 — AI beats world chess champion 2017 — Transformers invented 2022 — ChatGPT changes everything 70 years of work behind that one chat box #AI #LearnInPublic
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AI is only as smart as the data it learns from 🧵 Let me explain Training Data in the simplest way possible #AI #LearnInPublic
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Think about how you recognize your mum's cooking You've eaten it hundreds of times Your brain knows the taste, the smell, the texture AI learns the same way The hundreds of examples = Training Data 🍲
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There are 2 main ways AI learns from data 🧵 Most people don't know the difference Let me break it down simply #AI #LearnInPublic
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First — Supervised Learning You give AI data WITH the answers 🐱 Here are 1000 cat pictures — they are cats 🐶 Here are 1000 dog pictures — they are dogs AI learns by studying the labeled examples Like a student studying with an answer key 📝
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You make decisions like an AI every day and don't even know it 🧵 Let me explain Decision Trees in the simplest way possible #AI #LearnInPublic
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Imagine you wake up and ask yourself: "Should I carry an umbrella today?" ☁️ Is it cloudy? → Yes → Is rain forecasted? → Yes → Take umbrella That's literally a Decision Tree 🌳
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A Neural Network sounds scary. It's not. Here's the simplest explanation: 🧠 Your brain has neurons that send signals 💻 AI copies that idea with numbers Input → process → output That's it. That's a Neural Network. Mind = blown when I learned this 🤯 #AI #LearnInPublic
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AI feels overwhelming until you see the map: 🤖 AI → broad concept 📊 ML → learns from data 🧠 Deep Learning → neural networks 💬 NLP → understands language 🔢 Embeddings → words as numbers Posting my journey daily 👇 #AI #LearnInPublic
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Bullish on shrapnel and whole team
Bybit (@Bybit_Official) profile pictureBybit
@Bybit_Official24 Nov 2023
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Image from Bybit (@Bybit_Official)
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React or Vuejs which? I think I lyk Vuejs because of the fact that the markup, styles and logic of a component are written in a single file (SFC) compared to React where you write your styles in a separate file and will’ve to navigate back and forth the file system of your IDE.
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