Preface

If you’re reading this, you’ve taken the first steps on a pioneering journey to building and implementing machine learning models that are more robust, accurate, fairer, less biased, and easier to explain.

This is a big claim, we know. We are comfortable making it, however, on the basis of the huge and relatively untapped potential we see in the data-centric approach to machine learning development.

Why do we consider data-centric machine learning pioneering?

It may seem obvious that improving data quality will lead to more predictive models. However, machine learning research to date has mainly focused on evolving the various algorithms and tools to build and tune models.

As a result, we have available at our fingertips a vast array ...

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