Four Basic Steps in Data Preparation - Oct 26, 2021.
What we would like to do here is introduce four very basic and very general steps in data preparation for machine learning algorithms. We will describe how and why to apply such transformations within a specific example.
Data Preparation, Data Preprocessing, Data Science, Missing Values, Normalization, Sampling
- Data Science 101: Normalization, Standardization, and Regularization - Apr 20, 2021.
Normalization, standardization, and regularization all sound similar. However, each plays a unique role in your data preparation and model building process, so you must know when and how to use these important procedures.
Data Preprocessing, Feature Engineering, Normalization, Regression, Regularization, Statistics
- Batch Normalization in Deep Neural Networks - Aug 7, 2020.
Batch normalization is a technique for training very deep neural networks that normalizes the contributions to a layer for every mini batch.
Deep Learning, Neural Networks, Normalization, Regularization
- Feature Engineering for Machine Learning: 10 Examples - Dec 21, 2018.
A brief introduction to feature engineering, covering coordinate transformation, continuous data, categorical features, missing values, normalization, and more.
Data, Data Preparation, Data Processing, Feature Engineering, Normalization
