Examine how cultures of the ancient world defined themselves through literature and how their vision of literature contributes to our understanding of civilization, culture, and literature today.
Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
In Remote Work Revolution for Everyone, you will learn to excel in the virtual-work landscape. You will learn how to build trust, increase productivity, use digital tools intelligently, and remain fully aligned with your remote team.
Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
Learn how American women created, confronted, and embraced change in the 20th century while exploring ten objects from Radcliffe’s Schlesinger Library.
Examine how great modern writers capture the intricacies of our globalized world and how their works circulate within that world to find their own audiences.
Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.