Four Rare Machine Learning Skills All Data Scientists Need
Master essential advanced machine learning concepts including uplift modeling, accuracy evaluation, p-hacking prevention, and ensemble models.
Master essential advanced machine learning concepts including uplift modeling, accuracy evaluation, p-hacking prevention, and ensemble models.
This advanced course covers four critical but rarely taught machine learning skills. Students learn uplift modeling for measuring influence, proper accuracy evaluation techniques, avoiding p-hacking pitfalls, and understanding ensemble model paradoxes. Through conceptual discussions and real-world examples from companies like US Bank and Obama's campaign, participants gain deep insights into these advanced techniques. The course focuses on building strong theoretical foundations without hands-on coding, preparing data scientists for practical implementation.
Instructors:
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What you'll learn
Master uplift modeling for marketing optimization
Avoid common accuracy evaluation pitfalls
Prevent p-hacking in data analysis
Understand ensemble model paradoxes
Apply advanced ML concepts to real problems
Evaluate ML model performance correctly
Skills you'll gain
This course includes:
134 Minutes PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There is 1 module in this course
This vendor-neutral course explores four vital yet often overlooked machine learning concepts through a single comprehensive module. The curriculum covers uplift modeling for measuring marketing influence, proper accuracy evaluation techniques, avoiding p-hacking in big data analysis, and understanding ensemble model paradoxes. The course emphasizes conceptual mastery through real-world examples and case studies, preparing data scientists for advanced practical applications.
Four Rare Machine Learning Skills All Data Scientists Need
Module 1 · 5 Hours to complete
Fee Structure
Instructor
Founder of Machine Learning Week & GenAI World, Exec Editor of "The Machine Learning Times," author of "The AI Playbook" & "Predictive Analytics."
Eric Siegel, Ph.D., is a leading consultant – independent, but collaborating with SAS for this 3-course specialization – and former Columbia University professor who helps companies deploy machine learning.
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