General Data Science Means Cross-Language Tools, Training, and Documentation

Data science is often a case of brining the tools to the problems and data, instead of insisting on bringing the problems and data to the tools.

To support cross-language data science we have been working on cross-language tools, documentation, and training.

For example:

vtreat data preparation package for supervised machine learning available both for vtreat R users and for vtreat Python users. Video lectures: advanced data preparation for R users video, and advanced data preparation for Python users video.

We have task-oriented cross-linked documentation:

• Regression: R regression example, fit/prepare interface, R regression example, design/prepare/experiment interface, Python regression example.
• Classification: R classification example, fit/prepare interface, R classification example, design/prepare/experiment interface, Python classification example.
• Unsupervised tasks: R unsupervised example, fit/prepare interface, R unsupervised example, design/prepare/experiment interface, Python unsupervised example.
• Multinomial classification: R multinomial classification example, fit/prepare interface, R multinomial classification example, design/prepare/experiment interface, Python multinomial classification example.