AI for AI: Building state of the art models
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Azure Cognitive Services and AutoML (and NNI) are among the offerings that allows a developer with limited knowledge of AI to build state of the art models with ease and speed. In this demo we will learn to build a real time iOS image classifier, training a model to answer Trivia questions and train ensemble models for regression.
AI for AI: Building state of the art models
- 4. How much is this car worth? Machine Learning Problem Example
- 5. Mileage Condition Car brand Year of make Regulations Parameter 1 Parameter 2 Parameter 3 Parameter 4 Gradient Boosted Nearest Neighbors SVM Bayesian Regression LGBM Mileage Gradient Boosted Criterion Loss Min Samples Split Min Samples Leaf Others Model Which algorithm? Which parameters?Which features? Car brand Year of make
- 6. Criterion Loss Min Samples Split Min Samples Leaf Others N Neighbors Weights Metric P Others Which algorithm? Which parameters?Which features? Mileage Condition Car brand Year of make Regulations Gradient Boosted Nearest Neighbors SVM Bayesian Regression LGBM Nearest Neighbors Model Iterate Gradient BoostedMileage Car brand Year of make Car brand Year of make Condition
- 7. Which algorithm? Which parameters?Which features? Iterate
- 8. Enter data Define goals Apply constraints OutputInput Intelligently test multiple models in parallel Optimized model