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NVIDIA: Fundamentals of Machine Learning
Coursera
Course
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NVIDIA: Fundamentals of Machine Learning

Whizlabs

NVIDIA: Fundamentals of Machine Learning Course is a foundational course designed to introduce learners to key machine learning concepts and techniques. This course is the first part of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Associate specialization. The course covers fundamental machine learning principles, including supervised and unsupervised learning, model training, evaluation metrics, and optimization techniques. It also provides insights into data preprocessing, fe

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About this Course

NVIDIA: Fundamentals of Machine Learning Course is a foundational course designed to introduce learners to key machine learning concepts and techniques. This course is the first part of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Associate specialization. The course covers fundamental machine learning principles, including supervised and unsupervised learning, model training, evaluation metrics, and optimization techniques. It also provides insights into data preprocessing, fe

What You'll 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.

Instructors

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Whizlabs Instructor

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Unsupervised Learning
Deep Learning
Statistical Analysis
Feature Engineering
Model Evaluation
Machine Learning
Regression Analysis
Data Preprocessing
Artificial Intelligence
Supervised Learning

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