Today, the vast majority of organizations realize they need to digitally transform to compete. Many organizations want to accelerate this change, and data science tools such as machine learning are at the heart of this.
This checklist report by TDWI (Transforming Data with Intelligence) and sponsored by Snowflake focuses on six technology considerations for successful machine learning and data science.
The checklist will cover:
- How organizations that utilize advanced techniques like machine learning are more likely to see an impact on their bottom line
- Why you should consider a cloud data platform for data management
- Tips to collecting and understanding the useful data needed to train a machine learning model
- The importance of feature engineering
- Key elements to deploying a machine learning model within your company