Artificial Intelligence

Beginner

Created by YouTube Last Updated August 7, 2024 1:59 PM

The basics of what AI is, its history, and its applications.
Machine learning concepts, including supervised, unsupervised, and reinforcement learning, as well as algorithms like linear regression and neural networks.
Deep learning techniques for training complex neural networks, such as convolutional and recurrent networks.
Natural language processing methods for analyzing and understanding text, including sentiment analysis and machine translation.
Computer vision techniques for interpreting visual data, such as image recognition and object detection.
Ethical considerations and biases in AI, including fairness and societal impact.
Practical skills with AI tools and frameworks like TensorFlow, PyTorch, and scikit-learn.
Data handling, including techniques for collecting, cleaning, and preprocessing data.
Algorithm design and analysis for optimizing AI models.
Real-world applications of AI in fields like healthcare, finance, robotics, and autonomous systems.