In this conversation, Ian Knowles and Harry Berg discuss the three primary factions of AI: artificial intelligence, machine learning, and deep learning. They explain that AI is an approach to automation, while machine learning is a method of having a computer learn from examples of data. Deep learning, on the other hand, uses neural networks to perform machine learning. They also touch on the concept of algorithms and how they are used in machine learning and deep learning. Overall, the conversation provides a foundational understanding of AI and its different components.
Keywords
AI, artificial intelligence, machine learning, deep learning, automation, neural networks, algorithms
Takeaways
AI is an approach to automation, allowing computers to perform tasks that are difficult to program explicitly.
Machine learning is a method of having a computer learn from examples of data.
Deep learning uses neural networks to perform machine learning.
Algorithms play a crucial role in machine learning and deep learning.
Understanding the different components of AI can provide a foundation for leveraging its capabilities.