Master Machine Learning, Deep Learning & AI Agent Foundations with TensorFlow and PyTorch
What you will learn
Perform advanced feature engineering for machine learning models
Evaluate model performance using precision, recall, F1, and AUC
Apply decision trees, random forests, and gradient boosting algorithms
Understand deep learning concepts like activation and backpropagation
Build neural networks from scratch using Python
Train and deploy models using TensorFlow and Keras
Use PyTorch to build, optimize, and evaluate deep learning models
Understand the fundamentals of AI agents and their real-world applications
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