Watson Studio Overview Workshop
Hands on Introduction to the Watson Studio Data Science Platform. Topics will include, Apache Spark, NLP, ML and Operationalizing Models for Data Engineers, Data Scientist and Developers.
IBM is offering a no charge workshop for clients and practitioners on Apache Spark, Machine Learning, Operationalization, Decision Optimization, and Graphical Modeling.
This is a half day of education with hands on exercises instructed in person by Open Source experts. The workshop will provide a detail overview of the solution and the exercises will be performed on Jupyter notebooks, RStudio, and via IBM's proprietary additions with publicly available datasets. Participants will use IBM’s flexible data science offering.
A basic knowledge of Coding (Preferred Python and/or R) and SQL.
Expect to spend a half day of lecture and hands on exercises attacking real-world data challenges using Apache Spark, ML, SPSS, DO, and Models. In 4 hours, you will learn the essentials of why these solutions are important to your organization and data science process. This workshop will focus on data wrangling, machine learning, and operationalizing the model.
- 9:00 am - 9:30 am Introductions
- 9:30 am - 10:00 am Account Setup, Product Tour, Project Creation
- 10:00 am - 11:00 am Data Ingestion and Access Methods
- 11:00 am - 12:00 am Lab: Building and Deploying a Model for Heart Failure
- 12:00 pm - 1:00 pm Lunch and Finish Model Deployment, end with Closing Discussion