It is critical in any commercial endeavor to know your users, but many of the cloud-based data science services are based on platforms built for developers. Developers and data scientists have inherently different goals and operational approaches. Utilizing inefficient systems increases the time required to develop, train, and deploy machine learning models. Oracle Cloud Infrastructure Data Science was built specifically for the needs of the data scientist to increase efficiency and productivity.
Cost and benefit are the main drivers of any business decision. Inefficiency costs money in personnel costs as well opportunity costs. Machine learning has a place in security, marketing, customer profiling, company restructuring and more. When the economic landscape is so volatile, proper positioning is key. Recognizing the importance of this can place you on the upswing of a bull market just in time to reap the benefits. Alternatively would be a model prediction identifying risky behavior in time to prevent a security breach. Selecting the right data science technology can help improve your company’s efficiency to reduce cost. Oracle Cloud Infrastructure (OCI) Data Science has features within its Jupyter Lab environment that increase speed to deployment. One of these includes this article’s feature highlight: The Accelerated Data Science Library (ADS).
The Accelerated Data Science Library (ADS) is a Python library unique to Oracle that provides data science teams with many key tools for increasing productivity and speed to deployment. It is a user-friendly interface with everything your team needs to support the lifecycle of your machine learning models. That's right, from inception to development, training, and even interpretation.
A machine learning (ML) model is only as good as its data. Limited data means limited insights. OCI Data Science ADS comes pre-configured to utilize default storage options on your Oracle Cloud Interface, but your library can also be connected to a variety of data sources, so your ML models are fully supported by any appropriate data. With ADS you can seamlessly integrate data sets from OCI, Hadoop, MongoDB, Google Cloud, Amazon S3, NoSQL, Blob, and more.
Oracle’s ADS library has many tools for automating key features of the machine learning lifecycle. Automation not only saves time, but also promotes best practices and increases fidelity.
Machine learning algorithms learn by sorting through massive quantities of data. When that data represents an unintentional bias, the model will reflect that bias and further present flawed conclusions. For this reason, it is critical to evaluate your model and understand the features included in any given prediction. ADS provides clear insight with model evaluation, interpretation and explainability.
Oracle’s Accelerated Data Science Library (ADS) can improve productivity and efficiency within your data science team. Along with the Oracle’s dedication to supporting collaborative data science teams, ADS can help your company improve your data science strategy. For more information about OCI Data Science Platform and which software is right for you, visit DoblerConsulting.com or call us at +1 (813) 322-3240 (US).