1. History of Artificial Intelligence
2. What is Machine Learning
3. Workflow of Machine Learning
4.1 databricks-ml.zip
4. Hands-on Using scikit-learn with Spark on Databricks
5.1 databricks-ml-distribute-parameter-tuning.zip
5. Hands-on Using Spark to distribute parameter tuning
6.1 databricks-dl.zip
6. Hands-on Using tensorflow with Spark on Databricks
7.1 2018 paper, Demystifying Parallel and Distributed Deep Learning An In-Depth Concurrency Analysis.html
7. Introduction to Distributed Deep Learning
8. Distributed methods for using TensorFlow
9.1 databricks-dl-distributed.zip
9. Hands-on Distributed deep learning training using TensorFlow with HorovodRunner
10.1 databricks-mlflow.zip
10. Hands-on Using MLflow to track parameters and metrics
11.1 1993 DBT paper.html
11.2 1993 the earliest cited work.html
11.3 1995 NIPS workshop.html
11.4 1998 springerlink multi-task learning.html
11.5 1998 theoretical foundations of transfer learning.html
11.6 2005 the application of transfer learning in text classification.html
11.7 2007 AAAI.html
11.8 2007 AISTATS conference.html
11.9 2007 Mapping and Revising Markov Logic Networks for Transfer Learning.html
11.10 2007 the application of transfer learning in Bayesian networks.html
11.11 springerlink machine learning.html
11.12 Volume 28, Issue 1, July 1997.html
11. History of Transfer Learning
12.1 databricks-transfer-learning.zip
12.2 Runtime.html
12. Hands-on How to perform Transfer Learning on Databricks
