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10 Machine Learning Terms to Know Before Your First AI Course
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Before starting a machine-learning course, learn the vocabulary used in almost every lesson. This quick guide focuses on the terms that describe data, models and evaluation.
You’ll learn: • Dataset, feature and label • Model, algorithm and parameter • Training and inference • Classification and regression • Accuracy and loss • Overfitting and generalisation
Use this as a reference, then revisit each concept with a practical example. Knowing the words will make technical explanations easier to follow, but hands-on practice is what builds understanding.
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