Presented by
Christopher Peter Makris, Lead Data Scientist at Dataiku
Statistics for Data Scientist
About this talk
As demand for the data scientist role remains high in 2021, the onus is on data scientists to find ways to differentiate themselves amidst a sea of competition and continuously expand their toolbelt. Many of today’s data scientists don’t have a formal statistics background, so learning statistics and probability concepts can be a value-add for them as they aim to increase their understanding of machine learning concepts, improve their models, and bring a new perspective to their projects. This talk, led by Christopher Peter Makris, lead data scientist at Dataiku, will cover key statistics concepts for data scientists to know and how they can be applied to everyday data science tasks.
Dataiku
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Everyday AI, Extraordinary People
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future.
More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.