├── .gitignore ├── LICENSE ├── README.md ├── chapter02 ├── .azureml │ └── config.json ├── 01_azure_ml.ipynb ├── 02_cognitive_service.ipynb ├── 03_custom_vision.ipynb ├── 04_azure_ml_tests.ipynb ├── code │ ├── keras_azure_ml_cb.py │ └── train.py └── model.pkl ├── chapter03 ├── .amlignore ├── .azureml │ ├── config.json │ └── requirements.txt ├── 00_setup_env.sh ├── 01_setup_azure_ml_ws.sh ├── 02_run_experiment_keras_base.ipynb ├── 02_run_experiment_keras_enhanced.ipynb ├── 03_run_experiment_local.ipynb ├── 04_setup_azure_ml_compute.sh ├── 05_run_experiment_remote.ipynb ├── 06_get_best_run.ipynb ├── code │ ├── cifar10_cnn_remote.py │ └── keras_azure_ml_cb.py └── compute.yml ├── chapter04 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 05_run_experiment_as_mount.ipynb ├── 09_Azure_Open_Datasets.ipynb ├── Access_data_from_dataset.ipynb ├── Access_data_from_path.ipynb ├── Access_dataset_as_download.ipynb ├── Access_dataset_as_mount.ipynb ├── Connect_datastore.ipynb ├── Register_file_dataset_from_datastore.ipynb ├── Registered_tabular_dataset.ipynb ├── blobdatastore.yml ├── code │ ├── __init__.py │ ├── access_data_from_dataset.py │ ├── access_data_from_path.py │ ├── access_dataset.py │ ├── cifar10_cnn_remote.py │ ├── cifar10_utils.py │ └── keras_azure_ml_cb.py ├── dataset.yml ├── datastore.yml └── utils.py ├── chapter05 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_data_distribution.ipynb ├── 02_correlation.ipynb ├── 03_regression.ipynb ├── 04_feature_importance.ipynb ├── 05_separability.ipynb ├── 06_dataprep_melbhousing.ipynb └── 07_dimensionality_reduction.ipynb ├── chapter06 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_feateng_examples.ipynb ├── 02_fe_melbhousing.ipynb ├── 03_reg_unlabeled_data.ipynb ├── favoritesnacks.csv └── feature_chap5.png ├── chapter07 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_encoders.ipynb ├── 02_bag_of_words.ipynb ├── 03_ngrams.ipynb ├── 04_embeddings.ipynb ├── 05_lstm.ipynb ├── 06_bert.ipynb ├── 07_cognitive_service.ipynb └── data │ ├── test.tsv │ └── train.tsv ├── chapter08 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_pipeline_step.ipynb ├── 02_pipeline_with_input.ipynb ├── 03_pipeline_preprocess_output.ipynb ├── 04_pipeline_train_output.ipynb ├── 05_published_pipeline.ipynb ├── 06_scheduled_pipeline.ipynb ├── 07_pipeline_step_order.ipynb ├── 08_parallelized_pipeline.ipynb ├── code │ ├── keras_azure_ml_cb.py │ ├── preprocess.py │ ├── preprocess_input.py │ ├── preprocess_output.py │ ├── score.py │ ├── train.py │ └── train_output.py └── utils.py ├── chapter09 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_run_local.ipynb ├── 02_run_remote.ipynb ├── data │ ├── titanic_cleaned.csv │ └── train.csv └── train_lightgbm.py ├── chapter10 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_pretrained_forward_pass.ipynb ├── 02_mnis_local.ipynb ├── 03_augmentation.ipynb ├── 04_run_azureml.ipynb ├── 05_transfer_learning.ipynb ├── cnn.prototxt ├── data │ └── .gitignore └── img │ ├── chili │ └── IMG_20191121_115324.jpg │ ├── nopal │ └── IMG_20191223_073810.jpg │ └── soup │ └── IMG_20191222_130619.jpg ├── chapter11 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_run_local.ipynb ├── 01_run_remote.ipynb ├── 02_hyperdrive.ipynb ├── 03_automl.ipynb └── train │ ├── keras_azure_ml_cb.py │ └── train.py ├── chapter12 ├── .azureml │ ├── config.json │ └── requirements.txt ├── AML_Horovod_CPU.ipynb ├── AML_Horovod_GPU.ipynb └── code │ ├── __init__.py │ ├── cifar10_cnn_horovod.py │ └── keras_azure_ml_cb.py ├── chapter13 ├── .azureml │ └── requirements.txt └── 01_similarity_and_ratings.ipynb ├── chapter14 ├── .azureml │ ├── config.json │ └── requirements.txt ├── 01_Scoring.ipynb ├── 01_local_endpoint.ipynb ├── 02_remote_endpoint.ipynb ├── 03_local_endpoint_batch.ipynb ├── 04_remote_endpoint_batch.ipynb ├── 05_local_endpoint_pandas.ipynb ├── 06_remote_endpoint_pandas.ipynb ├── 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