8. Machine Learning
“Machine Learning: Field of study that gives
computers the ability to learn without being
explicitly programmed.” -Arthur Samuel (1959)
10. When we use ML
ML is used when:
• Humans can’t explain their expertise (speech
recognition)
• Models are based on huge amounts of data
(genomics)
Learning isn’t always useful:
• There is no need to “learn” to calculate payroll
11. When we use ML
ML is used when:
• Humans can’t explain their expertise (speech
recognition)
• Models are based on huge amounts of data
(genomics)
Learning isn’t always useful:
• There is no need to “learn” to calculate payroll
13. Computer Vision
The science of allowing computers to see.
relies on pattern recognition and deep learning to
recognize what’s in a picture or video.
When machines can process, analyze, and
understand images,
they can capture images or videos in real-time and
interpret their surroundings.
Ex: Face Recognition (Apple ID)