September 2018
Intermediate to advanced
412 pages
11h 12m
English
Jupyter and Zeppelin Notebooks provide web-based capability to explore the datasets and author the machine learning algorithms in an interactive mode and build the models by training, as well as test the algorithms using the commonly used libraries, such as scikit-learn, TensorFlow, and Spark ML. They also provide an ability to visualize the results. Superset is another rich visualization tool for plotting the data by query from various types of data sources and for building the dashboard. The purpose-built business applications can be used to query the data for interactively executing the analytics, and integrating with the Notebooks, such as Jupyter, which provide an ability to build the application platform. For more details ...