Enterprises have ambitious plans for machine learning but the road isn’t a smooth one

A new survey looks at how organizations find business value from machine learning (ML), how they plan to invest in the near term, and the challenges they expect to face in achieving their ambitious goals for getting new ML initiatives into production. source:

Understanding Feature Scaling in Machine Learning: Techniques, Implementation, and Advantages

Introduction Feature Engineering is the most important step in the Machine Learning life cycle. Feature Engineering is the process of creating new features or modifying existing ones from the raw data to improve the performance of Machine Learning models. Feature engineering mainly involves four different tasks: feature transformation, feature construction, Read more…