Super Data Science: ML & AI Podcast with Jon Krohn 464: A.I. vs Machine Learning vs Deep Learning
Apr 23, 2021
Unravel the mysteries of AI, machine learning, and deep learning in this engaging discussion. Discover how these terms are often confused and learn their distinct roles in the tech landscape. Dive into the foundational impact of artificial neural networks on deep learning and see how they enhance AI through sophisticated data processing. Tune in for clarity and insights!
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AI vs. Machine Learning vs. Deep Learning
- AI, machine learning, and deep learning are often used interchangeably, but they are distinct concepts.
- AI is the broadest term, encompassing any cutting-edge machine capability, while machine learning is a subset of AI.
Defining Machine Learning
- Machine learning is a subset of AI where software learns patterns from data without explicit programming for all aspects of recognition.
- Programmers provide a model framework and data, but the software learns the patterns.
Deep Learning and ANNs
- Deep learning uses artificial neural networks (ANNs) with multiple layers.
- ANNs consist of interconnected artificial neurons inspired by biological brain cells.
