I Trained a Machine-Learning Model From Scratch in 40 Lines (No scikit-learn)
📰 Dev.to · Devanshu Biswas
Learn to build a basic machine learning model from scratch using linear regression and gradient descent in JavaScript, understanding the fundamental loop of ML
Action Steps
- Build a linear regression model using plain JavaScript
- Implement gradient descent to optimize the model
- Calculate the loss function to evaluate the model's performance
- Compute the gradient to update the model's parameters
- Apply the updates to the model using the gradient descent algorithm
Who Needs to Know This
Data scientists and software engineers can benefit from understanding the basics of ML models and implementing them from scratch, allowing for more control and customization
Key Insight
💡 The loop of model, loss, gradient, and step is the foundation of all machine learning
Share This
💡 Built a machine learning model from scratch in 40 lines of JavaScript! #MachineLearningFromZero
Key Takeaways
Learn to build a basic machine learning model from scratch using linear regression and gradient descent in JavaScript, understanding the fundamental loop of ML
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