Hannah Patrick - Rittman Mead

Deploy RStudio in an OCI Container

RStudio is a free interactive development environment or (IDE) designed specifically for the R language. It supports direct code execution, and tools for plotting, history, and debugging. It’s safe to say that almost no-one uses R without R Studio. RStudio Server is an application that provides a web based

GenAI

Oracle Generative AI Services

Overview The Oracle Generative AI Services is a new fully managed service where you can use and customise pre-trained large language models (LLMs) for text generation. It is now available on Oracle Cloud Infrastructure (OCI) in the US Midwest (Chicago) Region. The current facets of the service include: The Playground

Tip Tuesday

Tip Tuesday: Setting up OCI Data Science Service with an Oracle Template

To create a user group, dynamic group, and policies required to use the data science service you can take advantage of a pre-built Oracle template. To use the template, from within the OCI console navigate to Developer Services → Resource Manager. Next, select the compartment you wish your data science work

machine learning

Tip Tuesday: Creating OML Notebooks from Example Templates

Oracle OML offers a browser-based Machine Learning Interface on top of an ATP or ADW. Within OML there are many example templates Oracle have created to get you started on many different topics. You can look inside these template notebooks by clicking on the title, however, this will only show

autonomous database

Oracle Autonomous Database Select AI

In this article, I am going to provide a quick overview of Autonomous Database Select AI, a new tool available on Oracle ADB that enables users to query the database using natural language. Select AI can: * Take a natural language prompt and execute SQL returning the required data; * Take a

oracle machine learning

Introduction to Oracle Machine Learning on ADB

Oracle Machine Learning or OML is a collaborative user interface that enables data scientists to perform machine learning within the Oracle Autonomous Database (ADB). OML is packaged with Oracle Autonomous Database (ADB) meaning if you already have Oracle Autonomous Data Warehouse or Oracle Autonomous Transaction Processing you could start using

Tip Tuesday

Tip Tuesday: How to enable OML for an ADW user

Navigate to ATP or ADW in OCI console → Database Actions -> Database Users. (You need to be an admin user to create or change users). You will be prompted to log into Oracle Database Actions, from there navigate to Database Users. From here you will be able to create

machine learning

Productionising Machine Learning Models

Introduction: Productionising or deploying a model is the process by which we make the model accessible to the end users in some way so that the predictions or insights can start generating value. This will often involve deploying a pipeline of data transformations or possibly moving some data transformations to

data science

Introduction to Oracle Data Science Service Part 4

This post is the fourth part of my blog series on the Oracle Data Science Service. In the previous post here we looked at some of the capabilities of the Oracle ADS SK, as well as creating, saving, and deploying models to OCI. In this blog we will look at

oracle data science

Introduction to Oracle Data Science Service Part 3

In this blog post we will look at other capabilities in the Oracle ADS SDK which can help with data exploration, as well as creating, saving, and deploying models from within Oracle Data Science Notebook Sessions.

data science

Introduction to Oracle Data Science Service Part 2

Using oracle-ads Python library to create a secret within an OCI vault. Use this secret to connect to an ADW and read and write data to the AWD.

data science

Introduction to Oracle Data Science Service Part 1

Creating Data Science Projects and Notebook Sessions, installing and creating kernel environments, and sharing these environments via the OCI Storage Bucket.

The Importance of Feature Engineering and Selection

In machine learning your model is only ever as good as the data you train it on. As such a significant proportion of your effort should be focused on creating a dataset that is optimised to maximise the information density of your data. Feature engineering and selection are the methods

data science

Common Questions and Misconceptions in The Data Science Field

There are many types of scenarios in which data science could help your business. For example, customer retention, process automation, improving operational efficiency or user experience. It is not however always initially clear which questions to concentrate on, or how to achieve your aims. This post presents information about the

Technical

Exploring the Rittman Mead Insights Lab

What is our Insights Lab? The Insights Lab offers on-demand access to an experienced data science team, using a mature methodology to deliver one-off analyses and production-ready predictive models. Our Data Science team includes physicists, mathematicians, industry veterans and data engineers ready to help you take analytics to the next