IBM
AI Workflow: Feature Engineering and Bias Detection
IBM

AI Workflow: Feature Engineering and Bias Detection

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

4,893 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.4

(69 reviews)

Advanced level
Designed for those already in the industry
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.4

(69 reviews)

Advanced level
Designed for those already in the industry
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

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This course is part of the IBM AI Enterprise Workflow Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course

This module will introduce you to skills required for effective feature engineering in today's business enterprises. The skills are presented as a series of best practices representing years of practical experience.

What's included

6 videos14 readings5 assignments1 ungraded lab

This module will continue the discussion of skill related to feature engineering for practicing data scientists, with a focus on outliers and the use of unsupervised learning techniques for finding patterns.

What's included

5 videos11 readings5 assignments1 ungraded lab

Instructors

Instructor ratings
3.9 (12 ratings)
Mark J Grover
13 Courses117,416 learners

Offered by

IBM

Recommended if you're interested in Machine Learning

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Learner reviews

4.4

69 reviews

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NM
5

Reviewed on Jul 5, 2020

PL
4

Reviewed on May 3, 2020

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