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Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296

Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
35 minutes
Released:
Sep 3, 2019
Format:
Podcast episode

Description

Today we're joined by Lotte Bransen, Scientific Researcher at SciSports. With a background in mathematics, econometrics and soccer, Lotte has honed her research on analytics of the game and its players. More specifically, using trained models to understand the impact of mental pressure on a player’s performance. In this episode, Lotte discusses: Her latest paper, ‘Choke or Shine? Quantifying Soccer Players' Abilities to Perform Under Mental Pressure’ and shares  The basis of the models through two aspects of mental pressure: pre-game and in-game, and three performance metrics: the chance of a goal with every action a player takes (contribution), the quality of that decision and the quality of the execution The implications of her research in the world of sports Just a few of the exponential applications for her work - check it out! Check out the full show notes at twimlai.com/talk/296.
Released:
Sep 3, 2019
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.