In this week, we would like to share an article with highlighting the keys of success for Machine Learning.
For the original article, the author(s) had list out the keys of success for machine learning:
- Start small with Machine Learning – this is similar to all other data analytic projects to have a smaller scoped for better management
- Machine Learning Must Have Data Quality to Succeed – data is the most important ingredient for data analytic; so, the quality is critical.
- No Universal Machine Learning Algorithms – Machine Learning itself is the approach to solve one single “specific” problem and the related algorithms should be unique by the corresponding use-case.
Original Article at DataVersity.net