To create an effective machine learning toolbox, you actually only need the following three basic tools: Feature Store, Model Store, Evaluation Store
"41-page PDF Free" What kind of assessments need to be done before AI empowerment?
This is a series of articles that evaluate a question from four perspectives: "Do I need AI for my business? Can I use AI?"
Data preparation for modeling: feature engineering, feature selection, dimensionality reduction (Part 1)
Machine learning algorithms also fail to produce expected results on large amounts of unwanted miscellaneous data. So let's dive into all the options for optimizing your data.
Should I use artificial intelligence in my business? What you need to evaluate before introducing AI (1)
This is a series of articles that evaluates a question from various perspectives: "Would you like to use AI? Can AI solve my problem?" This issue evaluates the perspective-features.
"Practical explanation" Machine learning to obtain data is difficult? Don't forget the feature engineering
To make machine learning models easier to read data, we can use feature engineering to improve the performance of the model.