Question 1

What types of machine learning models can you build?

Accepted Answer

We build all types of ML models including supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), and reinforcement learning. We select the appropriate approach based on your data and business objectives.

Question 2

How long does it take to build a machine learning model?

Accepted Answer

Development timelines vary based on complexity, data availability, and requirements. Simple models can be built in 4-6 weeks, while complex solutions may take 3-6 months. We provide detailed timelines during the discovery phase.

Question 3

What data do I need to start a machine learning project?

Accepted Answer

You need historical data relevant to the problem you're solving. The amount and quality vary by use case, but generally, you need hundreds to thousands of examples. We assess your data during the discovery phase and provide recommendations for improvement if needed.

Question 4

How accurate are machine learning models?

Accepted Answer

Accuracy depends on data quality, problem complexity, and model type. We establish realistic accuracy targets during planning and continuously optimise models to achieve the best possible performance for your use case.

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