ML Fundamentals

Supervised Text Classification for Marketing Analytics

Optimize and Deploy Edge AI Models

NVIDIA: Fundamentals of Machine Learning

Deep Learning with PyTorch : Image Segmentation

Foundations of Probability and Random Variables

Integral Calculus and Numerical Analysis for Data Science

AI Workflow: Enterprise Model Deployment

Intro to TensorFlow em Português Brasileiro

What is Data Science?

Calculus for Engineers

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Deep Learning

Supervised Machine Learning: Regression

Encoder-Decoder Architecture - Italiano

Deep Learning with PyTorch : GradCAM

Data Visualization and Modeling in Python

R: Apply & Analyze K-Means Clustering for Unsupervised ML

Evaluate Vision Errors: Identify Failure Patterns

Foundations of Data Science and Machine Learning with Python

Advanced AI Techniques for the Supply Chain

Bracketology with Google Machine Learning

VLSI CAD Part II: Layout

Master Machine Learning with TensorFlow: Basics to Advanced

Machine Learning in the Enterprise - Français