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February 10, 2022

17:00 UTC   Start Times Around the World

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Description

Hands-On Lab: Introduction to Oracle Machine Learning for Python on Autonomous Database
Join us for this Introductory Oracle Machine Learning workshop focusing on the Python API - OML4Py. If you're interested in machine learning and Python in the Oracle environment, join us for this hands-on lab to experience the OML Notebooks interface and prepare data and build machine learning models in the database.

You will learn to provision your Autonomous Database and create OML users, load sample data from Github, manipulate database tables as Pandas DataFrame proxy objects, build powerful machine learning models, and use AutoML through the Python API and no-code OML AutoML UI.

After participating in this workshop, you will be able to:
- Select and manipulate Database data directly from Python using Pandas DataFrame proxy objects
- Train, test, and score using in-database machine learning models
- Store and manage Python objects and user-defined functions in the database
- Run and deploy those user-defined Python functions using Embedded Python Execution
- Use AutoML from the Python API and the no-code AutoML UI to create ML models in an automated fashion

We will use Oracle Autonomous Database for all exercises, and suggest you create an Oracle Cloud Free Tier account ahead of time so you can jump right into the training: https://signup.cloud.oracle.com/
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    Marcos Arancibia

    Marcos Arancibia   

    Marcos Arancibia is a Senior Principal Product Manager in the Oracle Autonomous Database team. He is charted with developing a comprehensive platform for enabling all customers and use cases to be successful on Autonomous Database, and working with developers to bring their Applications and workloads as well. Within Product Management he works to develop product strategy, roadmap prioritization, product positioning and product evangelization, working closely with the engineering teams in defining the product roadmap for Autonomous Database. He previously was a PM for Oracle Machine Learning, and before joining Oracle in 2010 he spent 13 years at SAS Institute Inc., from Country Manager in LAD to Regional Data Mining lead in the US. He holds a bachelor's degree with additional courses in the master's degree, both in Statistics from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience.
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    Mark Hornick

    Mark Hornick   

    Mark Hornick is the Senior Director of Product Management for the Oracle Machine Learning (OML) family of products. He leads the OML PM team and works closely with Product Development on product strategy, positioning, and evangelization. Mark has over 20 years of experience with integrating and leveraging machine learning with Oracle technologies, and working with internal and external customers in applying Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative to the R Consortium and an Oracle adviser and founding member of the Analytics and Data Oracle User Community. He holds a bachelor's degree from Rutgers University and a master's degree from Brown University, both in Computer Science.
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    Sherry LaMonica

    Sherry LaMonica

    Sherry is a member of the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems R and Python for data science and machine learning projects. She has worked with customers in fields as diverse as as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
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