NVIDIA: Fundamentals of Machine Learning
Completed by Jasmine Ham
July 30, 2026
6 hours (approximately)
Jasmine Ham's account is verified. Coursera certifies their successful completion of NVIDIA: Fundamentals of Machine Learning
What you will learn
Understand the fundamentals of AI, ML, and Deep Learning, and their key differences.
Implement supervised learning techniques like classification and regression.
Apply clustering methods and time series analysis using ARIMA.
Leverage NVIDIA RAPIDS for GPU-accelerated ML workflows.
Skills you will gain
- Category: Feature Engineering
- Category: Model Optimization
- Category: Machine Learning Methods
- Category: Machine Learning
- Category: Regression Analysis
- Category: Artificial Intelligence
- Category: Data Preprocessing
- Category: Time Series Analysis and Forecasting
- Category: Model Evaluation
- Category: Supervised Learning
- Category: Model Training
- Category: Machine Learning Algorithms
