The Future of Data Science - Data Science @ Stanford 

Wow, really interesting discussion. Thank you for posting.

Nothing like an Oxford man at Stanford to set it straight.

Data science is the determination of meanings and relations amongst data that has been represented together. To identify things which can be known and said of the query and collection of its data.

Data science is a big business in the future. Like any data in the past. history shown there is a must needs to hold data as long as one can (~100s of years).

That was 6 years ago... it still revelant today ! 2021 :p

20:46 Nowadays universities mostly in Europe are taking that path of education...and even a university in The Netherlands is making a mix of core data science subjects with mid-level econometrics theory. I don't know why is taking so long for Unis in the United States to launch new core bachelor programmes in Data science.

Great discussion

No statistics professor in the panel? Wondering why!

If you had neuron sensors attached to someone's head and you had a powerful machine learning algorithm, could you theoretically predict their thoughts and actions? It could be a helmet with sensors on it that runs off of a lithium battery and software on it with the machine learning setup.

They should've included Dr Gunnar Carlsson (Topological Data Analysis) in this group.

Request: "Data science, hello world" Give an example..

I enjoyed watching this, but let's take the analysis a bit deeper and try to come up with more meaningful directions to continue the future discussion.

Where is Andrew NG? 👌🏻

to me its genetics apparati for the electron things

my DREAMS from Somalia

Correction please: Columbus discovered the sea route to the continent.

basically, humans are much more predictable than we thought?

07:52

Statisticians are those who first found the importance of data many years ago, and they started to send you a lot of papers about the importance of DATA. at that time you were just working on your major's topics. now you claim that you have found the importance of DATA? no, you are 100 percent wrong professor, Statistics has been developed because of the importance of DATA. so just be honest and tell everyone that you are doing Statistics because there is enormous money there. please do not create new terminologies!

The world would be a better place if we weren't charged for any medical treatment.

The application of data science is just as promising as it is dangerous. Data privacy laws and regulations surrounding its application will need to swiftly catch up to the knowledge proliferation in all fields to be of any relevance. That, in reality, is not possible. Even if we naively believe it's possible , we know from government agencies to hackers; they will find ways to violate privacy laws. In some sense it seems humans are creating their own demise. Time will tell.

It's just analyzing data and hyping it unnecessarily.

It'd be great if the panel could include women and/or underrepresented people of color!