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Lecture 1 of 38

decision-making

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Section 1: module-110 videos

decision-making

8mNow Playing

hr-without-ai

29m

course-introduction

26m

rule-based-systems

6m

uniqueness-of-hr-challenges

45m

how-machine-learning-works

8m

the-role-of-training-data-in-machine-learning

7m

feature-engineering-beyond-structured-data

5m

evaluating-machine-learning-performance

4m

end-to-end-example

4m
Section 2: module-28 videos

ai-application-in-hr

6m

ai-and-engagement

19m

ai-and-attrition

6m

topic-modeling

16m

building-ml-attrition-models

16m

the-value-of-attrition-models

7m

ai-and-careers

18m

analyzing-skills

13m
Section 3: module-36 videos

broader-issues-of-privacy-and-ethics

31m

hiring-as-an-example

47m

data-limitations

10m

why-aren-t-our-systems-more-accurate

10m

measurement-problems

4m

so-why-use-analytics

12m
Section 4: module-414 videos

where-does-bias-come-from

6m

bias-is-difficult-to-manage

3m

some-approaches-to-fixing-bias

5m

what-is-explainable-ai

3m

examples-of-when-interpretability-is-important

5m

bias-is-complicated-to-fix

4m

tradeoffs-between-interpretability-and-performance

3m

blockchain-in-hr

6m

some-approaches-to-xai

4m

why-is-the-blockchain-so-transformative

7m

how-does-the-blockchain-work

5m

what-are-some-emerging-hr-applications

5m

course-conclusion

10m

effects-of-ai

42m