In this talk, we’ll walk through an MLOps pipeline that automates the typical procedures used by ML Practitioners, namely the CRISP-DM process.
In this seminar we will cover the important considerations that go into business testing, including specific examples and issues facing different industries including retail, social networks, ride-sharing, and financial services.
Machine Learning (ML) has revolutionized how we’ve solved business problems over the last decade. The ability to collect and store limitless data, coupled with advancements in computing and networking, has led to the use of Machine Learning in many business verticals.
How can Fourth Industrial Revolution technologies (AI, Blockchain, AR/VR, IoT… you know the drill…) help businesses bounce back through agility of response via reconfigurable work processes and workplaces? What will the “new normal” look like?
Today it is a common practice for data analysts to extract recurring terms and phrases from unstructured, textual data…