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OML Usage Highlight: ML on SailGP data: Predict...

OML Usage Highlight: ML on SailGP data: Predicting the best sailing direction

In this Office Hours for Oracle Machine Learning on Autonomous Database, Jeroen Kloosterman, Product Strategy Director for Analytics and AI in Oracle Digital in EMEA, showed how to use machine learning to solve a very common challenge in sailing: finding the best direction to sail. Using OML, he identified the optimal angle to the wind that a SailGP boat must sail to obtain the highest boat speed in the target direction, given a particular wind speed. He then visualized the results using Oracle Analytics Cloud.

SailGP is like Formula 1 on the water: the boats race over the water at speeds of up to 50 knots (60 m/h, 90 km/h). SailGP offers the perfect playground for you to learn about analytics and Machine Learning. Why? It’s a data intensive sport; each boat has over 800 IoT sensors that provide more than 12,000 data points. To deliver game-changing insights from the data, SailGP employs “Data Athletes” who analyse all this data to help the teams make the best decisions on the water and stay ahead of the game.

The Oracle Machine Learning product family supports data scientists, analysts, developers, and IT to achieve data science project goals faster while taking full advantage of the Oracle platform.

The Oracle Machine Learning Notebooks offers an easy-to-use, interactive, multi-user, collaborative interface based on Apache Zeppelin notebook technology, and support SQL, PL/SQL, Python and Markdown interpreters. It is available on all Autonomous Database versions and Tiers, including the always-free editions.

OML includes AutoML, which provides automated machine learning algorithm features for algorithm selection, feature selection and model tuning, in addition to a specialized AutoML UI exclusive to the Autonomous Database.

OML Services is also included in Autonomous Database, where you can deploy and manage native in-database OML models as well as ONNX ML models (for classification and regression) built using third-party engines, and can also invoke cognitive text analytics.

Marcos Arancibia

August 17, 2021
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  1. OML usage highlight: ML on SailGP data: Predicting the best

    sailing direction OML Office Hours Jeroen Kloosterman Product Strategy Director SMB EMEA, Analytics and AI Supported by Marcos Arancibia, Mark Hornick and Sherry LaMonica Product Management, Oracle Machine Learning Move the Algorithms; Not the Data! Copyright © 2021, Oracle and/or its affiliates. This Session will be Recorded
  2. • Now Available DB21c: • OML4Py on-premise launch with DB

    21c • New algorithms with OML4SQL: XGBoost and MSET • ML on SailGP data: Predicting the best sailing direction • Q&A Topics for today Copyright © 2021, Oracle and/or its affiliates 2
  3. [email protected] Product Strategy Director SMB EMEA Analytics & Machine Learning

    Oracle Machine Learning AskTOM Office Hours ML on SailGP data: Predicting the best sailing direction
  4. What is SailGP? What is Sail GP? • World’s fastest

    sailing yachts • Iconic venues around the world • 8 Teams, identical boats, all teams see all data • 3K+ data points from 8 yachts • Backbone is Oracle Cloud
  5. Analysis of Start of Race Analysis of Maneuvers Predict the

    best sailing direction What’s in the workshop?
  6. Copyright © 2021, Oracle and/or its affiliates. All rights reserved.

    Wind Angle Wind Speed Resulting Boat Speed 95.6 15.9 45.7 58.2 24.3 42.4 88.5 26.7 50.5 67.3 2.5 3.8 … … … Historic measurements Model Training algorithm 1. Train 2. Predict Prediction Wind Angle Wind Speed 42.1 22.7 Resulting Boat Speed 30.5
  7. Products Autonomous Data Warehouse Oracle Machine Learning Oracle Analytics Cloud

    Data Team Analysts Umpires Audience Oracle Cloud Infrastructure (OCI)
  8. Demonstration 1. Explore data in OAC 2. Build model in

    OML (AutoML) 3. Predict from OAC -> OML 4. Visualize results in OAC
  9. [email protected] Product Strategy Director SMB EMEA Analytics & Machine Learning

    Oracle Machine Learning AskTOM Office Hours ML on SailGP data: Predicting the best sailing direction