YoVDO

Building Profitable Models - Lessons from Marks and Spencer

Offered By: Data Science Festival via YouTube

Tags

Data Science Courses Predictive Modeling Courses Supply Chain Management Courses Model Evaluation Courses Financial Forecasting Courses Product Lifecycle Management Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Discover strategies for developing profitable data science models in this 39-minute talk from the Data Science Festival. Explore how Marks and Spencer's Enterprise Data Science and Analytics team tackles challenges in supply chain and product lifecycle management. Learn techniques to increase model success probability, including analyzing current decision-making processes, quantifying forecast accuracy improvements, and optimizing decision rules. Gain insights on selecting metrics for profitable model training and leveraging probabilistic forecasting. Suitable for non-technical audiences, this session from the Data Science Festival MayDay event 2024 offers valuable lessons applicable across industries seeking to enhance their data-driven decision-making processes.

Syllabus

Building Profitable Models: Lessons from M&S


Taught by

Data Science Festival

Related Courses

Big Data Analytics in Healthcare
Georgia Institute of Technology via Udacity Model Building and Validation
AT&T via Udacity Maths for Humans: Linear, Quadratic & Inverse Relations
University of New South Wales via FutureLearn Regression Modeling in Practice
Wesleyan University via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera