Introduction to data science computing

QTM 

Institute for quantitative theory and methods

What is data science to you?

What is a common name?

 

Is your name common?

In what decade do you think it was most common?

A tool we will use later in the semester:

Google Cloud Platform Datalab (https://cloud.google.com/datalab/)

What is a common sketch of a cat?

https://quickdraw.withgoogle.com/

Follow the link to have your sketches identified

Data science

 

  1. Definition?

  2. What is it?

1. Definition?

1. Definition?

 

Data scientist (n.):

Person who is better at statistics than software engineers and better at software engineering than statisticians.

 

 

1. Definition?

No, many new roles

Karlijn Willems

Data Science Journalist @DataCamp

https://medium.com/@kacawi

Let's ask the experts

2. What is it?

A question that was put to Yann LeCunn on Reddits Ask Me Anything (AMA):

 

 

Q: How has the recent attention "Big data" has gotten in the media affected the field? Do you ever feel like it might be overly optimistic or that some criticism is overly pessimistic?

 

 

 

 

Original question here

https://www.reddit.com/r/MachineLearning/comments/25lnbt/ama_yann_lecun/chier82

LeCunn's answer:

 

A: Seriously, I don't like the phrase "Big Data". I prefer "Data Science", which is the automatic (or semi-automatic) extraction of knowledge from data. That is here to stay, it's not a fad. The amount of data generated by our digital world is growing exponentially with high rate (at the same rate our hard-drives and communication networks are increasing their capacity). But the amount of human brain power in the world is not increasing nearly as fast. This means that now or in the near future most of the knowledge in the world will be extracted by machine and reside in machines. It's inevitable. An entire industry is building itself around this, and a new academic discipline is emerging.

AI?

 Andrew Ng,

Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain

Let's ask:

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