GDG Oxford

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About

The Google Developer Group in Oxford is a vibrant community dedicated to advancing the field of machine learning through research, teaching, and knowledge sharing. As a community of practice, we are deeply rooted in the rich tapestry of pioneering machine learning research that Oxford and its surrounding area are renowned for. Our focus is on fostering a collaborative environment where both novices and experts in the field can come together to learn, share insights, and drive innovation in machine learning technologies.

Our activities range from hosting workshops and talks by leading experts in the field, to facilitating hands-on sessions where members can work on projects, exchange ideas, and solve challenges together. Whether you're a seasoned researcher, a student, or simply an enthusiast eager to delve into machine learning, the Google Developer Group in Oxford offers a welcoming platform to engage with the latest in AI research and practice. Join us as we explore the frontiers of machine learning, contributing to the global conversation on AI and its transformative potential.

Upcoming events

Feb 24, 2024

Workshop / Study Group

Introduction to Deep Learning and Convolutional Neural Networks (CNNs)

Dives into the world of deep learning. Shows why deep learning excels in image tasks, demystifies the architecture of CNNs (convolutions, pooling, etc.), and explains the training process.

Mar 2, 2024

Workshop / Study Group

Beyond Classification: Transfer Learning and Generative Models

Demonstrates the power of utilizing pre-trained models for new tasks (transfer learning). Introduces fascinating applications of Generative Adversarial Networks (GANs) for creating and manipulating images.

Mar 9, 2024

Workshop / Study Group

Gemini API: Full setup

Learn to programmatically interact with the Gemini API to streamline tasks, extract insights, and build custom applications around Gemini's platform.

Mar 16, 2024

Workshop / Study Group

Introduction to Recommender Systems

Introduces the basics of recommender systems, their significance in various industries, and the fundamental algorithms and metrics used.

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Gregory McGann

GDG Oxford

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