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What’s going to happen, and when? Those are the million dollar questions we’re all trying to answer with data science. But beneath the glitz and glamour of machine learning models are hundreds of years of work in statistics and probability. So to be successful at machine learning, at data science, requires at least a familiarity with the foundational methods and concepts.
In this one-hour lecture we’ll take a tour of the statistics and probability underlying many machine learning models, including defining some theorems. Our path will be meandering and is not intended to be comprehensive, though it should give you a flavor of the statistics required for data science. We’ll meet Gauss, Laplace, Bernoulli and Fisher. We’ll visit Italy, England, and France. No specific background beyond high-school mathematics will be assumed.
Lara is constantly awe struck by how math and statistical models can so reasonably approximate the messy real world, and loves to share her passion for the theory.
Lara comes to Metis from McKinsey, where she worked with financial institutions on risk modeling. Prior to settling into the practical world of consulting, Lara received a master's from the University of Chicago, where she had the privilege of thinking about problems with no real-world implications. There her passion for unstructured thinking and novel problem solving were nurtured and she took the lessons learned with her into conference rooms and PowerPoint decks. The statistical and mathematical elegance of data science are what animate her the most, but she gets her biggest joy from demystifying the rigorous mathematics for all audiences. If forced to snap out of her mathematical reveries, she's probably doing yoga, riding a bike, or drinking too much coffee.
Metis (https://thisismetis.com/) accelerates data science learning for individuals, companies, and institutions through corporate training and accredited, immersive bootcamps.
The Metis bootcamp curriculum is designed and delivered by highly educated and industry-experienced practitioners, and all bootcamp graduates receive hands-on career support until they’re hired. Campuses are located in Chicago, New York City, San Francisco, and Seattle.
On the corporate side, Metis works with large organizations who want to upskill their teams in data science and analytics to gain efficiencies, remain competitive, and improve their bottom lines. Metis is proud to be backed by Kaplan, a global leader in education.
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