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Learn to test and deploy machine learning projects with Sergey Karayev from The Full Stack. Topics include AB testing, software engineering, Docker, and serverless deployment.
Dive into AI and deep learning with Professor Pieter Abbeel in this less than 1-hour session from The Full Stack. Explore ImageNet, speech recognition, and more.
Explore the nuances of choosing hardware for computing needs, comparing NVIDIA cards, cloud providers like AWS and Google Cloud, and strategies for different work environments. Offered by The Full Stack.
Explore practical deep learning systems with Xavier Amatriain in this under 1-hour material from The Full Stack. Learn about data transfer, model architecture, and machine learning infrastructure.
Learn from Richard Socher, Chief Scientist at Salesforce, about using deep learning for NLP tasks in this less than 1-hour material from The Full Stack.
Learn from Jeremy Howard's expertise in machine learning, data labeling, and deep learning successes in less than an hour with The Full Stack.
Explore exciting research directions in deep learning with Professor Pieter Abbeel in a 1-2 hour lecture from The Full Stack.
Learn to troubleshoot deep neural networks with Josh Tobin in a 1-2 hour session from The Full Stack's March 2019 bootcamp.
Explore data management in deep learning with Sergey Karayev from The Full Stack. Learn about data labeling, storage, versioning, and processing in under an hour.
Learn about the AI talent gap, machine learning roles, team structures, and hiring process in less than an hour with The Full Stack.
Learn from Lukas Biewald, founder of Figure Eight and Weights & Biases, about his journey in machine learning and AI. This less than 1-hour material from The Full Stack offers insights into deep learning, data science, and real-world applications.
Learn to track experiments in text recognizer projects using Weights & Biases with Josh Tobin, in less than an hour, offered by The Full Stack.
Learn about infrastructure and tooling for deep learning projects, including on-premise vs cloud GPU machines, experiment tracking, and AWS SageMaker with The Full Stack.
Learn to recognize text with deep learning in a 1-2 hour program by The Full Stack. The program includes project setup, deployment, workflow, and model training.
Learn to set up ML projects with Josh Tobin from The Full Stack, focusing on pose estimation, project lifecycle, metric selection, and creating human baselines. (1-2 hours)
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