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Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

How can we design for equity and justice in our community partnerships? This field guide offers a vision for enacting social justice with community partners. Working from a community’s resources and strengths toward the goal of building its internal capacity, this book considers how actions such as grassroots activism, decolonization efforts, co-resistance movements, and social change initiatives can support reciprocity and mutuality.