2020’s word of the year is likely to be “unprecedented” — which might make us rather nervous as data scientists or analytics professionals. Machine learning is, after all, the art and science of predicting outcomes of upcoming events based on historical data; in a period without precedent, most available data describes a different, bygone world. In this session, we discuss how this affects our ability to build useful predictive analytics models for the current environment and how to ensure that data science and machine learning continue to add business value.
When Data Science Becomes an Art: Forecasting when Historical Data Is Irrelevant
On Demand
About this Session
Session Resources
About this Session
Session Resources
Featured Presenters
Event Sponors
Amazon Web Services (AWS)
AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 175 fully featured services from datacenters globally. Millions of customers are using AWS to lower costs, become more agile, and innovate faster.
CloudFactory
CloudFactory is a global leader in combining people and technology to provide a workforce in the cloud for machine learning and core business data processing.
Databricks
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.
Maverick Quantum Inc (mavQ)
Maverick Quantum Inc (mavQ) is a low code & artificial intelligence platform that enables organizations with digital transformation while creating valuable insights and outcomes.
