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Intro

What you'll learn

Artificial intelligence

Machine learning (ML)

ML vs expert system for onset detection

Expert system: Onset detection

ML onset detection: Training

ML onset detection: Inference

ML paradigms

Unsupervised learning

Reinforcement learning

ML algorithms

Neural network (NN)

Deep learning

Traditional ML vs DL: Feature engineering

Traditional ML vs DL: End-to-end

When should you use DL?

DL applications in audio

Takeaway points

What's up next?

Description:

Explore the distinctions between artificial intelligence, machine learning, and deep learning in this comprehensive 31-minute video. Gain insights into various machine learning paradigms, including supervised, unsupervised, and reinforcement learning. Learn when to apply traditional machine learning techniques versus deep neural networks, with a focus on audio applications. Discover the differences between expert systems and machine learning approaches for tasks like onset detection. Understand the advantages of deep learning in feature engineering and end-to-end solutions. Access accompanying code, slides, and additional resources to further enhance your understanding of AI and its subfields.

AI, Machine Learning and Deep Learning

Valerio Velardo - The Sound of AI

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#Computer Science #Machine Learning #Artificial Intelligence #Deep Learning #Supervised Learning #Unsupervised Learning #Reinforcement Learning #Neural Networks #Engineering #Electrical Engineering #Digital Signal Processing #Audio Processing #Feature Engineering

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