NVIDIA: Fundamentals of Machine Learning
Completed by Neha Garde
April 10, 2026
6 hours (approximately)
Neha Garde'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: Model Optimization
- Category: Statistical Machine Learning
- Category: Supervised Learning
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Feature Engineering
- Category: Applied Machine Learning
- Category: Model Training
- Category: Unsupervised Learning
- Category: Deep Learning
- Category: Model Evaluation
- Category: Classification Algorithms
