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As an AI-first company, Google aims to develop the benefits of machine learning for everyone. Over the past 6 months, Google’s Creative Lab in Sydney have teamed up with the Digital Writers’ Festival team, and an eclectic cohort of industry professionals, developers, engineers and writers to test and experiment whether Machine Learning ML could be used to inspire writers. An Overview to Cloud AI. Google Cloud AI aims to democratize AI by helping businesses generate actionable intelligence from data to create customer value. No matter where you are in your ML journey, join us for an overview of Cloud AI to see how it can provide you with the capability to move from data to insight to action, using pre-trained.

Today, I lead Google’s machine learning education effort, in the hope of making AI and its benefits accessible to everyone. AI can solve complex problems and has the potential to transform entire industries, which means it's crucial that AI reflect a diverse range of human perspectives and needs. Explore ML - Get Started with Machine Learning Explore Machine Learning ML is a Google-sponsored program for university students to get started with Machine Learning. The curriculum offers 3 tracks of Machine Learning Content Beginner, Intermediate, Advanced and relies on university student facilitators to train other students on campus. Testing and monitoring are key considerations for assessing the production-readiness of an ML system. But how much testing and monitoring is enough? We present an ML Test Score rubric based on a set of actionable tests to help quantify these issues. Google has recently launched AI Platform, an end-to-end platform to build, test, and deploy machine learning models. It brings together a host of products and services to help businesses solve complex. Google is deeply engaged in Data Management research across a variety of topics with deep connections to Google products. We are building intelligent systems to discover, annotate, and explore structured data from the Web, and to surface them creatively through Google products, such as Search e.g., structured snippets, Docs, and many others.

ML Kit Machine learning for mobile developers ML Kit beta brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. Best Practices for ML Engineering. Martin Zinkevich. This document is intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning. It presents a style for machine learning, similar to the Google C Style Guide and other popular guides to practical programming. If you have.

In 2018, we shared how Google uses AI to make products more useful, highlighting AI principles that will guide our work moving forward. The second principle, “Avoid creating or reinforcing unfair bias,” outlines our commitment to reduce unjust biases and minimize their impacts on people.

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