Thoughts on software engineering, data science, and technology.
More memory can quietly make an agent worse. Here are the six layers of agent memory that actually work, and why deliberate forgetting matters.
Your model is a genius with no hands. Harness engineering is how you give it a body, and the thing that actually makes an AI agent reliable.
Gradient Descent is optimization algorithm of find optimal solution to problems. In Machine Learning it is used to find optimal parameters of model to minimize cost function.
Evaluating Machine Learning performance is essential for selecting right model, tuning parameters, detecting overfitting/underfitting, and assesing the model generalization ability to new data (unseen data in training process).
Perceptron Classifier is one of the classification algorithms in machine learning. It is similar to linear regression model because it uses combination of features to predict.