Engineering Modeling: Teaching a Machine Learning Algorithm to Deliver Business Value How to train, tune, and validate a machine learning model
Engineering Feature Engineering: What Powers Machine Learning How to Extract Features from Raw Data for Machine Learning
Engineering Prediction Engineering: How to Set Up Your Machine Learning Problem An explanation and implementation of the first step in solving problems with machine learning.
Engineering How to Create Value with Machine Learning A General-Purpose Framework for Defining and Solving Meaningful Problems in 3 Steps.
Engineering Featuretools on Spark Distributed feature engineering in Featuretools with SparkApache Spark is one of the most popular technologies on the big data landscape. As a framework for distributed computing, it allows users to
Engineering Scaling Featuretools with Dask How to scale automated feature engineering using parallel processingWhen a computation is prohibitively slow, the most important question to ask is: “What is the bottleneck?” Once you know the answer,
Engineering Why Automated Feature Engineering Will Change the Way You Do Machine Learning Automated feature engineering will save you time, build better predictive models, create meaningful features, and prevent data leakage There are few certainties in data science — libraries, tools, and algorithms constantly
