100 Facts About Machine Learning

Photo by Philip Oroni on Unsplash

Here’s a list of 100 technical facts about machine learning:

1. Machine learning is a subset of artificial intelligence that focuses on building systems that can learn from data.
2. Supervised learning involves training a model on labeled data, where the algorithm learns the mapping between inputs and corresponding outputs.
3. Unsupervised learning deals with unlabeled data, aiming to find patterns or relationships within the data.
4. Reinforcement learning involves training an agent to make sequential decisions by receiving feedback in the form of rewards or penalties.
5. Semi-supervised learning combines labeled and unlabeled data to train a model, often useful when labeling data is expensive.
6. Transfer learning leverages knowledge gained from one task to improve performance on another related task.
7. Ensemble methods combine multiple models to improve overall performance, examples include Random Forests and Gradient Boosting.
8. Bias in machine learning models can arise from biased training data and may lead to unfair or discriminatory predictions.
9. Variance refers to the model’s sensitivity to changes in the training data; high variance can lead to overfitting.