1
Q
Define Machine Learning.
A
Machine Learning is the ”field of study that gives computers the ability to learn without being explicitly programmed”.
Machine Learning is ”concerned with the question of how to construct computer programs that automatically improve with experience”.
Machine Learning is interdisciplinary in nature and employs techniques from the fields of computer science, statistics and artificial intelligence, among others.
2
Q
Give some examples of applications of machine learning (13).
A
- Healthcare and medical diagnosis
- Face detection
- Virtual assistant
- Social media
- Cyber security
- Industry
- Financial services
- Transport
- Self-driving cars
- Agriculture
- eCommerce
- Traffic alerts
- Ads recommendation
Advanced Machine Learning
flashcards
Decks in class (14)
# Cards
-
Course Presentation - 002
-
Overview ML - 0174
-
Probabilities and Statistics - 0214
-
Neural Networks - 0335
-
Mixture Models - 0449
-
Bayesian Networks - 0540
-
Markov Networks - 0639
-
Exact Inference - 0733
-
Approximate Inference - 0827
-
Variational Inference - 0928
-
Learning PGM - 1043
-
Hidden Markov Models - 1129
-
Reinforcement Learning - 1255
-
Deep Reinforcement Learning - 1310
