Machine Learning Foundations: Statistics
With Terezija Semenski
Liked by 123 users
Duration: 1h 20m
Skill level: Beginner
Released: 10/18/2023
Course details
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.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Abhijit Gadkari,Sr. Product Manager-Tech (AI/ML) - Amazon,(ex-Wells Fargo)
Abhijit Gadkari,Sr. Product Manager-Tech (AI/ML) - Amazon,(ex-Wells Fargo)
MS Info Science, MS Computer Science, ACHE,CSPO
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Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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