Get started with data science
Explore the basics of data science, and build a foundation to get you started.
What is data science?
Data science is a field comprised of processes, methods, systems, and algorithms to extract knowledge from structured and unstructured data.
Get up and running
Try working with data science concepts with tutorials and code patterns that walk you through steps and examples.
Build models to predict fraudulent transactions
Automation and AI technology are transforming businesses. They address challenges in areas of healthcare, technology, and more. At the same time, these technologies transform the nature of work and the workplace itself. This code pattern focuses on building systems for churning out predictions that can be used in different scenarios.
Build a machine learning model using Watson Studio and Db2 on Cloud to predict home values
Data keeps on growing, and the ability to extract meaningful information out of that data is very important. Using machine learning models out of existing data helps a company to extract meaningful insights and also predict future results. This code pattern looks a data scientist's journey in creating a machine learning model using IBM Watson Studio and IBM Db2 On Cloud.
Quickly produce an interactive dashboard to explore and test a recommendation model
Using purchase data from all customers is the fastest way to create recommendations. With this data, you're able to create groups of customers that have bought similar products. In this code pattern, learn how to use historical shopping data to build a recommendation engine.
Learn how to use state-of-the-art deep learning models in your applications or services.
The lightweight IBM Cloud Garage Method for data science
Take a look at a process model to map individual technology components to the reference architecture. Because it can be hard to initially define the architecture of a project, this…