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AI Workflow: Feature Engineering and Bias Detection
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AI Workflow: Feature Engineering and Bias Detection

This course is part of IBM AI Enterprise Workflow Specialization.

Course Cost

Free course

Advanced

Skill Level

11 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM AI Enterprise Workflow Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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What you'll learn

  • Handle class imbalances and data bias effectively

  • Implement dimensionality reduction techniques

  • Utilize IBM AI Fairness 360 for bias detection

  • Develop topic modeling and clustering solutions

  • Apply outlier detection best practices

Skills you'll gain

Feature Engineering
Bias Detection
Dimensionality Reduction
Topic Modeling
Unsupervised Learning
Data Mining
AI Fairness
Pattern Recognition
Clustering
Outlier Detection

This course includes:

0.8 Hours PreRecorded video

10 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

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PROVIDED BY

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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.

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There are 2 modules in this course

This comprehensive course focuses on advanced feature engineering techniques and bias detection in AI systems. Students learn to handle class imbalances, detect and mitigate bias, perform dimensionality reduction, and implement unsupervised learning methods. The curriculum covers AI Fairness 360 toolkit, topic modeling, outlier detection, and clustering algorithms, with practical case studies in text analysis and data visualization.

Data transforms and feature engineering

Module 1 · 5 Hours to complete

Pattern recognition and data mining best practices

Module 2 · 6 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM AI Enterprise Workflow Specialization

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

AI Workflow: Feature Engineering and Bias Detection

Advanced

Skill Level

11 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.