NVIDIA: Fundamentals of Machine Learning
Completed by DANIEL ALEJANDRO FABIAN LOPEZ
March 14, 2026
6 hours (approximately)
DANIEL ALEJANDRO FABIAN LOPEZ'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: Statistical Machine Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Machine Learning
- Category: Artificial Intelligence
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Data Processing
- Category: Model Training
- Category: Unsupervised Learning
