Machine Learning Foundations: Statistics
Machine Learning Foundations: Statistics
Updated: 09/06/2025
Duration: 1h 26m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 200 MB
Genre: eLearning | Language: English
Updated: 09/06/2025
Duration: 1h 26m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 200 MB
Genre: eLearning | Language: English
Machine learning models have revolutionized how we work, across a multitude of industries. But going deeper with ML models and actually understanding how they work will allow you to optimize performance, innovate, troubleshoot issues, and create new and more efficient ML models. In this course, the fourth part of the Machine Learning Foundations series, Terezija Semenski explains how a deep understanding of statistics can help you excel when it comes to machine learning projects. Terezija shows how statistics plays a large role in machine learning —beyond just crunching numbers—and shows you how to use statistics to gain insights into the data, understand the uncertainties associated with predictions, and make data-driven decisions with confidence.
This course is part of a Professional Certificate from Wolfram Research.
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