Google Machine Learning

Question 1

What is Machine Learning?

Answer 1

It is a way to derive predictive insights from data.

Question 2

What is Machine Learning

Answer 2

Machine learning is the subfield of computer science that gives “computers the ability to learn without being explicitly programmed.”

Question 3

What are the 2 stages of Machine Learning?

Answer 3

Training and Prediction.

Question 4

Questions to ask when framing a Machine Learning problem?

Answer 4

1) What is being predicted?
2) What data is needed?

Question 5

Questions to ask when the Machine Learning is a question of software

Answer 5

3) What is the API for the problem during prediction?
4) Who will use this service? How are they doing it today?

Question 6

What is the Data Problem to the Machine Learning question?

Answer 6

5) What data are we analyzing?
6) What data are we predicting?
7) What data are we reacting to?

Question 7

Difference between Machine Learning, Artificial Intelligence and Deep Learning

Answer 7

AI components:
* Computer Vision
* Language Processing
* Creativity
* Etc.

Machine learning:
* Classification
* Clustering
* Neural Network
* Etc.

Revolution in Machine Learning:
* Deep learning

Question 8

What is training serving skew?

Answer 8

it is a mismatch between the data or environment used during the training phase of a machine learning model and the data or environment encountered during the serving (or deployment) phase.