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Add Visual Inspection Automation with Pre-trained Amazon SageMaker Models to README.md #3605

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Expand Up @@ -54,6 +54,7 @@ These examples provide a gentle introduction to machine learning concepts as the
- [Population Segmentation of US Census Data using PCA and Kmeans](introduction_to_applying_machine_learning/US-census_population_segmentation_PCA_Kmeans) analyzes US census data and reduces dimensionality using PCA then clusters US counties using KMeans to identify segments of similar counties.
- [Document Embedding using Object2Vec](introduction_to_applying_machine_learning/object2vec_document_embedding) is an example to embed a large collection of documents in a common low-dimensional space, so that the semantic distances between these documents are preserved.
- [Traffic violations forecasting using DeepAR](introduction_to_applying_machine_learning/deepar_chicago_traffic_violations) is an example to use daily traffic violation data to predict pattern and seasonality to use Amazon DeepAR alogorithm.
- [Visual Inspection Automation with Pre-trained Amazon SageMaker Models](introduction_to_applying_machine_learning/visual_object_detection) is an example for fine-tuning pre-trained Amazon Sagemaker models on a target dataset.

### SageMaker Automatic Model Tuning

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