Machine Learning Using SQL and Apache Zeppelin Notebooks - Hands on Lab

Please bring your laptops for this hands-on lab

AGENDA:

6:00 pm - 6:30 pm : Check-In, Food & Beverages, Network with Peers

6:30 pm - 6:50 pm : Welcome Announcement & Mini Keynote on ML

6:50 pm - 8:30 pm : Hands on Lab - Machine Learning using SQL and Apache Zeppelin Notebooks

8:30 pm - 9:00 pm: Q&A

KEYNOTE ABSTRACT:

Artificial Intelligence is driving next wave of business transformation. Success with AI and machine learning requires a deep understanding of the business processes and a sound data strategy. In this session, you will learn about how to build innovative & intelligent solutions utilizing a modern data management platform with built-in machine learning algorithms to achieve scale & performance in couple of clicks. You will also learn about the various use cases and strategies to help bring together the extended teams of business analysts, data engineers, developers, and business leaders to deliver AI based solutions.

KEYNOTE SPEAKER:

Savita Raina is the Director of Product Marketing, Oracle AI. She is responsible for go-to market initiatives for Oracle AI portfolio. She holds +12 years of work experience in high tech enterprise software and semiconductor industries. She has a diverse set of experiences that span from engineering design & development to product marketing & strategy. Prior to Oracle, she has worked at SAP, Sybase, Proofpoint, MKS Instruments and Oerlikon. She holds a MBA from Santa Clara University and MS in Electrical Engineering from New Jersey Institute of Technology. Outside of work she is very passionate about conservation, education and social services. She has also served as a board member at YMCA Urban Services a bay area social services non-profit.

WORKSHOP ABSTRACT:

In this lab, you will learn the fundamentals of Machine Learning using Apache Zeppelin Notebooks and SQL running on Autonomous Data Warehouse. These SQL notebooks, based on Apache Zeppelin technology, enable teams to collaborate to build, evaluate and deploy predictive models and analytical methodologies in the Oracle ADW. No prior ML Experience is required. We will start by covering the fundamentals of big data and machine learning using SQL, then build 2 practical ML Models for Fraud Detection and Sales Forecasting using Cloud Notebooks. Finally you will use the ML Model to make Predictions and render them in an interactive Data Visualization.

WORKSHOP INSTRUCTORS:

Girish Adiga is a Consulting member technical staff at Oracle, working on Autonomous Health features in Oracle Autonomous Database product. Oracle Autonomous Health Framework uses applied machine learning techniques to proactively identify issues before they affect the health of database clusters and take actions to fix or alert the administrators. He has been working for database product development team at Oracle for past 18 years, currently focused on anomaly detection and predictive analytics to enable quick root cause analysis for database issues using machine learning.

Suyash Joshi works in Oracle Developer Relations team where he leads the effort around Developer Activities including Meetup and Hands on Workshops around Cloud, ML and Database.