Information is the lifeblood of artificial intelligence projects. Without sufficient quantities of high quality, accurately labeled data for model training, machine learning algorithms will struggle to make the right predictions, no matter how well they are built. Created in partnership with AI Business, this e-book provides useful insights into the challenges of data preparation to ensure that your next AI project is a success.
This e-book covers:
Best practices from experts in the field, including Bloomberg- Key steps to eliminate common project issues such as bias
- What the future holds for developers of AI-based products and services
- Top reasons to outsource data collection and annotation
Hone in on data fundamentals
It's no secret that training data is critical to the success of any AI initiative. Lead with data.
