Summary
Throughout this book, you’ve gained invaluable skills, and you now have the knowledge to reach the next frontier of ML, following a data-centric approach. However, this knowledge is only useful if you apply it, and that takes effort.
It requires you to use the tools and techniques outlined in this book. It also requires you to step outside your comfort zone and take the lead on data quality, cross-functional collaboration, and data ethics. You can’t change the world alone, so hand over this book to a colleague and get them onboard with data centricity.
As we conclude, remember that embarking on this data-centric ML journey is not a destination but a continuous process. The landscape of data and AI is ever-evolving, and so must we evolve. Let’s continue to learn, innovate, and shape the future of data science and ML together. Your data-centric journey has only just begun.
