What is Floyd?
Floyd is a comprehensive machine learning platform designed to assist developers and data scientists in effortlessly creating, deploying, and overseeing their machine learning projects. By utilizing Floyd, users can efficiently generate and oversee machine learning models while gaining valuable insights into their performance. This platform allows seamless integration with current data sources, access to cutting-edge machine learning and deep learning libraries, and effortless configuration and deployment of models to the cloud. Moreover, Floyd offers advanced functionalities such as hyperparameter optimization, model versioning, and real-time monitoring. With Floyd, transforming machine learning ideas into production-ready projects has never been quicker or easier.
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Floyd FQA
- What is FloydHub?
- When was FloydHub shut down?
- What is NLP?
- What is the future of AI?
- What is the purpose of tokenization in NLP?
Floyd Use Cases
FloydHub has shut down
NLP Datasets: How good is your deep learning model?
The Future of AI is Open
FloydHub Cloud Setup Challenge: Jupyter + TensorFlow in 44 seconds [WR]
Talking ML and Cloud Transformation at AI-First Companies with @searchguy, aka Antonio Gulli
Best Machine Learning Books (Updated for 2020)
AWS Cost Optimization for ML Infrastructure - EC2 spend
Tokenizers: How machines read
Emil’s Story as a Self-Taught AI Researcher
Distilling knowledge from Neural Networks to build smaller and faster models