Why do ML teams usually test several approaches on a new problem?

The Best ML Approach Is Usually Obvious Before Testing

For a brand-new machine learning task, it is usually _____ to know beforehand which method will work best.

Match Each Situation to the Correct Machine Learning Idea

Order the stages of a typical iterative machine learning workflow when the best solution is not obvious.

How many candidate ideas does an experienced ML practitioner often test before finding a good solution?

Choosing the best ML approach before any experiments is easy for experienced teams and mainly difficult for beginners.

What do teams often test many of before finding a workable machine-learning approach?

Put the reasoning in order for why ML work usually proceeds by iteration.

Why Machine Learning Requires Repeated Experimentation

Choosing an ML strategy for a new prediction task.

Can experts predict the best ML approach in advance?

An Iterative Machine Learning Workflow