- Artificial Intelligence and Machine Learning (AI/ML)
- Data Analysis
- Data Ethics
- Supervised Learning
- Regression Analysis
- Predictive Analytics
- Machine Learning
- Decision Tree Learning
- Deep Learning
- Artificial Neural Networks
- Responsible AI
- Data Science
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
Completed by Andrew J Smith
December 13, 2020
17 hours (approximately)
Andrew J Smith's account is verified. Coursera certifies their successful completion of Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
What you will learn
Participate in the application of machine learning, helping select between and evaluate technical approaches
Interpret a predictive model for a manager or executive, explaining how it works and how well it predicts
Circumvent the most common technical pitfalls of machine learning
Screen a predictive model for bias against protected classes – aka AI ethics
Skills you will gain
