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Introduction to Artificial Intelligence with Python
Chapters

1Orientation and Python Environment Setup

2Python Essentials for AI

3AI Foundations and Problem Framing

4Math for Machine Learning

5Data Handling with NumPy and Pandas

6Data Cleaning and Feature Engineering

7Supervised Learning Fundamentals

8Model Evaluation and Validation

9Unsupervised Learning Techniques

10Optimization and Regularization

11Neural Networks with PyTorch

12Deep Learning Architectures

13Computer Vision Basics

Image FormatsColor SpacesConvolutions and KernelsEdge DetectionData Augmentation CVCNN ArchitecturesObject Detection IntroSemantic SegmentationTransfer Learning CVPretrained ModelsBounding BoxesMetrics for VisionOpenCV EssentialsVisualization GradCAMDeployment for Vision

14Model Deployment and MLOps

Courses/Introduction to Artificial Intelligence with Python/Computer Vision Basics

Computer Vision Basics

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Apply deep learning to images, detection, and segmentation with practical computer vision workflows.

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