Prepping for the Oracle AI Cloud: Machine Learning by Léon Smiers

April 25, 2019 Leave a comment

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This blog is part of a series on the introduction of the Oracle AI Cloud as part of the Oracle PaaS offering. In the first blog, The business case for the Oracle AI Cloud, we describe the capabilities and usage scenarios. The second blog, Prepping for the Oracle AI Cloud: libraries and tools, provides an overview of Python and the available data science and machine learning Libraries in the Oracle AI Cloud. In this blog, we will we will delve into the basics of machine learning and take a detailed look at the scikit-learn library in order to be prepared for the next blog on the “Deep Learning Frameworks” feature of the Oracle AI Cloud.

Machine Learning

Machine learning makes it easier to extract answers from data. It uses models and data, lots of data, to train a model in making a prediction. The goal of this training is to create an accurate model that answers (or predicts) our questions correctly based upon a set of measurements of specific data features. The distribution of the features then helps in finding groupings, also known as classifications. These classifications then in turn give input to the prediction. By continuously evaluating the results, we are able to improve the learning algorithm. Read the complete article here.

 

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Unknown's avatarAbout Jürgen Kress
As a middleware expert Jürgen works at Oracle EMEA Alliances and Channels, responsible for Oracle’s EMEA Fusion Middleware partner business. He is the founder of the Oracle SOA & BPM and the WebLogic Partner Communities and the global Oracle Partner Advisory Councils. With more than 5000 members from all over the world the Middleware Partner Community is the most successful and active community at Oracle. Jürgen manages the community with monthly newsletters, webcasts and conferences. He hosts his annual Fusion Middleware Partner Community Forums and the Fusion Middleware Summer Camps, where more than 200 partners get product updates, roadmap insights and hands-on trainings. Supplemented by many web 2.0 tools like twitter, discussion forums, online communities, blogs and wikis. For the SOA & Cloud Symposium by Thomas Erl, Jürgen is a member of the steering board. He is also a frequent speaker at conferences like the SOA & BPM Integration Days, JAX, UKOUG, OUGN, or OOP.

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