Super Data Science: ML & AI Podcast with Jon Krohn 819: PyTorch: From Zero to Hero, with Luka Anicin
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Sep 17, 2024 
Luka Anicin, CEO of Data Blues and a Udemy instructor with over 500,000 students, dives into the world of PyTorch, promoting its user-friendly approach for newcomers in AI. He discusses the importance of starting simple in machine learning projects, emphasizing data quality over complexity. Luka highlights the advantages of transfer learning for smaller datasets and the necessity of real-world projects to build a solid data science portfolio. Tune in for insights on increasing accuracy and efficiency using PyTorch!
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PyTorch for Beginners
- If you are starting in AI/deep learning, use PyTorch.
- It simplifies development and has become the popular choice.
PyTorch vs. TensorFlow
- PyTorch is easier to use than TensorFlow because of its simpler syntax and reduced overhead.
- PyTorch is now the dominant library in research, surpassing TensorFlow.
Scikit-learn vs. PyTorch
- Use PyTorch for deep learning and Scikit-learn for classical machine learning.
- Scikit-learn is optimized for non-deep learning algorithms and avoids overhead.
