Chisco.js

Can machines discover patterns in data without being given the correct answers? That's what Unsupervised Learning is all about. In Week 6 of ML From First Principles, I'm breaking down: Learning without labels Clustering Finding patterns in data K-Means, explained simply No jargon overload. Just the fundamentals. I've explained everything with simple examples in the full LinkedIn carousel. lnkd.in/p/eS9C7Pnn Learn. Simplify. Share. #MachineLearning #LearningInPublic

How do machines learn from data with known answers? That's the idea behind Supervised Learning. From labeled data to regression and classification, I'm breaking down how it works with simple, real-world examples in Week 5 of ML From First Principles. No jargon overload. Just the fundamentals. Read the full carousel on LinkedIn 👇 lnkd.in/p/e_2mVtMC Learn. Simplify. Share. 🚀 #MachineLearning #LearningInPublic

What does a Machine Learning project look like from start to finish? 🧠 It’s more than just training a model. You need to define the problem, collect and prepare data, train the model, evaluate its performance, and make predictions. In Week 4 of ML From First Principles, I’m breaking down the entire workflow in plain language. No jargon overload. Just the fundamentals. Read the full carousel on LinkedIn 👇 lnkd.in/p/evtp42Re Learn. Simplify. Share. 🚀 #MachineLearning #LearningInPublic

The best AI agents aren’t the ones that try to do everything alone. They’re the ones that sit on solid infrastructure. Cluster gets that right by giving them inference, compute, data, and payments in one place.

How does a machine actually learn? 🧠 It’s more than just feeding data into a computer. There’s a model, training, predictions, parameters, loss, and optimization all working together. In Week 3 of ML From First Principles, I’m breaking these concepts down in plain language. No jargon overload. Just the fundamentals. Read the full post on LinkedIn 👇 lnkd.in/p/ecECttmV Learn. Simplify. Share. #MachineLearning #LearningInPublic

I'm a Hazels Creator — I'm on the Waitlist. @0xhazels #WEAREHAZELS studio.hazels.io/waitlist

12 weeks of Data Protection & Privacy → done. ✅ Now I’m switching gears. For the next 16 weeks, I’ll be breaking down Machine Learning from first principles, learning, revisiting what I know, simplifying the jargon, and sharing what I learn along the way. AI vs ML. Regression & classification. Models. Evaluation. Overfitting. Neural networks. Deep learning. Computer vision. Learn. Simplify. Share. Week 1 is already live. 🚀 Full introduction + Week 1 breakdown on LinkedIn: lnkd.in/p/eGipRaG2 #machinelearning #python #learninginpublic

I am competing in BuildIt Challenge on the Blacksmith Experience. NGN 750,000 across 5 places. #BuildItChallenge blacksmithexp.dev/challenges…

Most fintech apps are built for individuals. But what about the merchant? That’s what we’re solving with UnioGate. The goal is simple: let customers pay how they want, while merchants receive value the way they need: Join the waitlist: uniogate.com/ #Fintech #crypto

I just set up Ollama and ran my first local AI model today! Check out my step-by-step process here 👇 nextwork.ai/excited_rose_nob… #Ollama #LocalAI #LLM #AI #NextWork #nextwork

At @Enugu_techfest and I just spotted @paycrest If @Paycrest is here, you already know it’s a serious event ⚡

Honored to receive my Certificate of Contribution as an Ambassador in DAO Experimentation Program (DEP 1) @KambriaNetwork Big thanks to the @KambriaNetwork team and fellow contributors for the trust and shared learning. #DAOExperimentationProgram #DAOAmbassador

Let's talk flare @FlareNetworks @FlareAfrica_ @The_KeeNG01

Hey @JumiaNGHelp I got an email saying pick-up is available 8 AM – 6 PM, but when I went to the office, they said they close at 5 PM and couldn’t help me. Can you help clarify the correct pick-up hours?

Apexium is expanding its Team, If you want to be part of it Apply Now.

Might just set github on fire 🤣

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Verified dev for a reason 🫡