Machine Learning Fundamentals

Complexity - too many rules, very hard to cover all aspects of the problem. Static - cannot adapt to new input, need to keep writing new rules, very hard to maintain.

Instead of handcrafting rules, machine learning learns a model from training samples (data).

Deploy, Collect data, Study the problem, Training algorithm, ML Model, Evaluate Solution, Analyze errors.

<p>Machine learning is a field of study that gives computers the ability to learn from data and improve performance without being explicitly programmed.</p> Signup and view all the answers

<p>Training samples are used to train the machine learning algorithm and learn a model from the data.</p> Signup and view all the answers