Rules of Machine Learning: | Google for Developers
AI-generated Key Takeaways| Google for Developers
AI-generated Key Takeaways| Google for Developers
This course module teaches fundamental concepts and best practices for working with numerical data, from how data is ingested into a model using feature vectors to feature engineering techniques such as normalization, binning, scrubbing, and creating synthetic features with polynomial transforms.| Google for Developers
This course module teaches the basics of neural networks: the key components of neural network architectures (nodes, hidden layers, activation functions), how neural network inference is performed, how neural networks are trained using backpropagation, and how neural networks can be used for multi-class classification problems.| Google for Developers
This course module teaches the fundamental concepts and best practices of working with categorical data, including encoding methods such as one-hot encoding and hashing, creating feature crosses, and common pitfalls to look out for.| Google for Developers
Prompt design is the process of creating prompts, or natural language requests,| Google AI for Developers
