Machine Learning 1 Flashcards
Intro to Machine Learning
1
Q
A
Explain the TEP of ML
2
Q
What is the difference between traditional programming and the ML approach?
A
Traditional programming:
Data & program (input)
Computation (process)
Results (output)
ML Approach:
Data & Results (input)
Computation (process)
Program (output)
3
Q
Why has ML become the new girl on the block?
A
- Improved Algorithms
- Explosion of data
4
Q
Name and explain some of the use cases for ML?
A
- Energy optimization (how though, and how did Google do it?)
- Healthcare (oncology, remote patient monitoring, follow-up of patients, radiology and radiotherapy)
- Conversational AI
- Sales and Marketing
- NLP
- Multimedia support (Google this its very interesting)
5
Q
What are KDDs?
A
KDD is a computer science field specializing in extracting previously unknown and interesting information from raw data
6
Q
What are the Machine Learning Categories?
A
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
7
Q
What is the ML approach 1
A
refer to slide 23
8
Q
What is the ML approach 2
A
Refer to slide 24
