IBM Machine Learning Professional Certificate
Issued by
IBM
This credential earner is able to showcase working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. The earner has also gained experience in specialized topics such as Time Series Analysis and Survival Analysis.
Additional DetailsSkills
- Artificial Intelligence (AI)
- Classification
- Clustering Techniques
- Data Science
- Deep Learning
- Exploratory Data Analysis
- Feature Engineering
- Linear Regression
- Machine Learning
- PWID-B0454100
- Python Programming
- Regression Analysis
- Ridge Regression
- Statistical Hypothesis Testing
- Supervised Learning
- Survival Analysis
- Time Series Analysis
- Unsupervised Learning
Earning Criteria
Endorsements
-
American Council on Education
This credential has been successfully evaluated by the American Council on Education for college credit. It is recommended for a total of 12 college credits. For more information about ACE Learning Evaluations, visit www.acenet.edu. -
American Council on Education
3 semester hours in Machine Learning in the upper-division undergraduate category -
American Council on Education
3 semester hours in Artificial Intelligence in the upper-division undergraduate category -
American Council on Education
3 semester hours in Data Science in the upper-division undergraduate category -
American Council on Education
3 semester hours in Computer Science in the upper-division undergraduate category
