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Artificial Intelligence

explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines

4.8 (6 Reviews) 100 Students Beginner Last Updated Aug 2024

Created by YouTube

What you'll learn

  • 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.

Course Curriculum

1 sections · 1 Lectures

Artificial Intelligence 11:51:21

Instructors

YouTube
YouTube
46 Courses 1,478 Students 4.77 (124 Reviews)

Student feedback

4.8

6 Reviews

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