- 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 Adarsh Kumar Gupta
September 24, 2020
17 hours (approximately)
Adarsh Kumar Gupta'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
