Instructors: Shingai Manjengwa, …
February 2022 | Duration: 3h 12m
Video: MP4 1920×1080 48 KHz | English
Size: 2.6 GB
Sponsored by Intel
Machine learning has grown significantly, and with it the footprint of ML models—which can make training, deploying, and monitoring difficult and expensive. What if you could make your ML models and systems more efficient, whether in the form of cost, compute, storage, latency, or carbon footprint? Join us for this Superstream where experts dive into techniques for using fewer resources and delivering better quality.
About the AI Superstream Series: This three-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results.
What you’ll learn and how you can apply it
Understand hardware and software resources required for deep learning
Learn how to optimize ML models and workloads
Discover how to build robust and scalable machine learning systems
Explore AI efficiencies that combat climate change
This recording of a live event is for you because…
You’re an ML engineer or data practitioner who wants to use more-efficient algorithms and improve ML model efficiency.
You’re a data team leader or CDO who wants to proactively reduce the cost and resource use of ML systems and pipelines.
You’re a product stakeholder who wants to learn more about how ML efficiencies align with business goals.
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