10 Best YouTube Channels on AI for 2024

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1. Alek

Alek explores AI side hustles and provides concrete evidence of how people use AI to make money online.
🔗 https://lnkd.in/eq5duK-p

2. DeepLearning.AI

DeepLearning.AI offers comprehensive educational content on AI and deep learning, led by Andrew Ng.
🔗 https://lnkd.in/ewuA6Ea5

3. AI Explained

AI Explained simplifies complex AI concepts for all audiences.
🔗 https://lnkd.in/eHu94yVb

4. Sentdex

Sentdex, run by Harrison Chase, focuses on practical AI coding and real-world projects.
🔗 https://lnkd.in/e4BCbdcz

5. Lex Fridman

Lex Fridman hosts in-depth conversations with leading AI experts, blending technical and personal insights.
🔗 https://lnkd.in/eFAiHndt

6. All About AI

All About AI provides insightful explorations into artificial intelligence.
🔗 https://lnkd.in/ewwaSXyx

7. Murtaza’s Workshop – Robotics and AI

Murtaza’s Workshop bridges robotics and AI theory with practical applications.
🔗 https://lnkd.in/edRkwDab

8. Two Minute Papers

Two Minute Papers offers concise summaries of the latest AI research.
🔗 https://lnkd.in/g6ckcWeP

9. Computerphile

Computerphile explores AI and computer science topics with expert explanations.
🔗 https://lnkd.in/gt5ezUYY

10. Adrian Rosebrock

Adrian Rosebrock focuses on practical AI applications, particularly in computer vision.
🔗 https://lnkd.in/g-ufbbTt

What Undercode Say

The world of AI is vast and ever-evolving, and staying updated requires reliable resources. These YouTube channels provide a mix of theoretical knowledge and practical applications, making them invaluable for anyone interested in AI. For those diving into AI, here are some commands and tools to enhance your learning:

  • Linux Commands for AI Development:
  • pip install tensorflow: Install TensorFlow for machine learning.
  • git clone <repository-url>: Clone AI project repositories from GitHub.
  • jupyter notebook: Launch Jupyter Notebook for interactive coding.
  • nvidia-smi: Check GPU usage for deep learning tasks.

  • Windows Commands for AI:

  • python -m venv ai_env: Create a virtual environment for AI projects.
  • conda install pytorch: Install PyTorch using Anaconda.

  • docker run -it tensorflow/tensorflow: Run TensorFlow in a Docker container.

  • AI Tools and Frameworks:

  • TensorFlow: https://www.tensorflow.org/
  • PyTorch: https://pytorch.org/
  • OpenAI GPT-4: https://openai.com/

By combining these resources with hands-on practice, you can build a strong foundation in AI. Whether you’re a beginner or an expert, these channels and tools will help you stay ahead in the rapidly changing AI landscape.

References:

initially reported by: https://www.linkedin.com/posts/altiamkabir_youtube-has-more-than-270-billion-monthly-activity-7301496412821721088-ItwA – Hackers Feeds
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