Intro

Question 1

3 practical goals of ML

Answer 1

1) Reduce Time to write programs
2) Customize and scale Products
3) Solve Problems that you can’t solve with traditional approach

Question 2

Example of ML Reducing Time ?

Answer 2

Spell Checker. Instead of explicitly programming rules (i. before e etc) you provide data.

Question 3

Example of ML Customizing Products ?

Answer 3

Spell Checker in different languages. Traditionally you’d have to start over with each language

Question 4

Example of ML Solving Problems tough to approach with traditional programming.

Answer 4

Facial and Speech recognition.

Question 5

Why is ML better at solving complex problems ?

Answer 5

Don’t need to tell the algorithm what to do, only need to show algorithm examples.

Question 6

ML from a Philosophic perspective ?

Answer 6

Changes the way you think about a problem. Traditional software engineers trained to think logically and mathematically. ML shifts that from a mathematical scientist to a natural science.

Question 7

How does ML shift from a mathematical/logical approach ?

Answer 7

Natural Science. Making observations about an uncertain world. Running experiments and using statistic, not logic, to analyze the results of the experiment.