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Ask the ML Experts | Machine Learning Conference 2019 Panel
A panel of machine learning experts shares key insights on getting started with AI, from data collection and understanding to iteration and refinement, while emphasizing practical tips and realities.
- Data collection is crucial: Start collecting data as soon as possible, as it’s hard to obtain later on.
- Understand your data: You need to understand what’s inside your data to make good decisions.
- Start with a small project: Start with a small project to get a feel for the process.
- Iterate and refine: Iterate and refine your project as you go along.
- Don’t overcomplicate things: Focus on the basics and don’t overcomplicate things.
- AI is not a magic bullet: AI is not a magic bullet that will solve all your problems.
- Rely on domain experts: Rely on domain experts to help you make sense of your data.
- Take it one step at a time: Take it one step at a time and don’t try to tackle everything at once.
- Be realistic: Be realistic about what you can achieve and don’t promise the world.
- Data ownership is important: Data ownership is important and you need to understand who owns the data.
- GDPR is important: GDPR is important and you need to comply with it.
- Don’t delete data: Don’t delete data, even if it’s not useful at first.
- Storage capacity is important: Storage capacity is important and you need to make sure you have enough space.
- You can’t guarantee success: You can’t guarantee success, but you can try and make it happen.