Talking data science with Michael, a data scientist at Google. Previously at Mercedes. Want to learn data science with a job guarantee? Check out Springboard’s …
I think that the Mercedes problem is very interesting! This shows that data science isn't just about running huge volumes of data through an algorithm, there can still be computing power constraints in the world today. I have some videos about the different types of data science projects out there on my channel that would complement this one nicely!
Story of students of different fields nowadays Arts->computer science Physics->computer science Electrical,mechanical,electronics….etc->computer science Psychology->computer science Biology->computer science . . . .computer science->what the heck im gonna do .
Design is the simplest yet most complicated terminology to understand and learn, as well. We see a design in everyday things and how it makes lives simpler for us, but never acknowledge it. In the digital era, the value of design has increased more than ever. It has got itself into the list of one of the highest paying jobs, be as a UI designer, UX designer, visual designer, and many more. The experiences we have gained thus far have been fantastic, and we would want to share the same with the designer community. We have wrapped the learnings in our application, Pro. Pro is a one-step app to learn everything design is about. The various spheres of it like, UX design, UI design, illustrations, interaction design, and more. Then what are you thinking now, join us in this journey and take a step ahead to become a Pro at design? Download the app from- Google Play Store: http://bit.ly/become_a_pro App Store: http://bit.ly/become_a_pro_ios
Great video and thanks for sharing. Just to add on the SQL Vs Python for data science, my view is that Data Scientist need to know SQL just because all the data-sets in all organisations are stored in an SQL-like database so you need to know how to access, clean, manipulate, join and retrieve the data. Python is not a database. Then, you need Python to model the data & run algorithms; which is what SQL cannot do (not that well anyway). Is that simple 🙂
What in the actual frick. Whyyyyyyy does everyone at google look the same!? I thought they were all about diversity, but all these guys at google have a (ugly) beard and big black glasses on a shaven head that looks like a nazi-punk from the 90's. They are all mutating to one (of a) kind!!
shit shit! these people from Google are not superior.
maybe find a host that can have a productive, insightful conversation with the guest? Some of the answers worth following up and drill down a bit.
https://youtu.be/ZVedPnowwHI
for machine Learning with python.
This is the data set he references
https://archive.ics.uci.edu/ml/datasets/Auto+MPG
What I know and think about Data Science and Machine Learning is correct. This is what I learned after watching this video.
I think that the Mercedes problem is very interesting! This shows that data science isn't just about running huge volumes of data through an algorithm, there can still be computing power constraints in the world today. I have some videos about the different types of data science projects out there on my channel that would complement this one nicely!
Did he really say use LR to do classification, or did I mishear that?
why should i even try?
Story of students of different fields nowadays
Arts->computer science
Physics->computer science
Electrical,mechanical,electronics….etc->computer science
Psychology->computer science
Biology->computer science
.
.
.
.computer science->what the heck im gonna do .
Tq
Design is the simplest yet most complicated terminology to understand and learn, as well. We see a design in everyday things and how it makes lives simpler for us, but never acknowledge it. In the digital era, the value of design has increased more than ever. It has got itself into the list of one of the highest paying jobs, be as a UI designer, UX designer, visual designer, and many more. The experiences we have gained thus far have been fantastic, and we would want to share the same with the designer community. We have wrapped the learnings in our application, Pro.
Pro is a one-step app to learn everything design is about. The various spheres of it like, UX design, UI design, illustrations, interaction design, and more. Then what are you thinking now, join us in this journey and take a step ahead to become a Pro at design?
Download the app from- Google Play Store: http://bit.ly/become_a_pro
App Store: http://bit.ly/become_a_pro_ios
I love interviewer's fake smile continuously she was onn….
Nice!
" if you not practicing you can't develop that intuition "
Great video and thanks for sharing. Just to add on the SQL Vs Python for data science, my view is that Data Scientist need to know SQL just because all the data-sets in all organisations are stored in an SQL-like database so you need to know how to access, clean, manipulate, join and retrieve the data. Python is not a database. Then, you need Python to model the data & run algorithms; which is what SQL cannot do (not that well anyway). Is that simple 🙂
Thank you so much for being here today..
You can leave for the day..??
He has not any experience in data scientist and seems around 30 years of age..Didnt google asked for the relevant experience??
Overqualified, for the job.
6:15 auto mpg dataset
Surprisingly I understand everything he was saying. I must be on the right track.
I don't understand what the fug he's talking about.
Thought about being a data scientist but forget getting a PHD. ?
This interview is a freaking goldmine.
Highlander reference. Love it.
Do I need a science background to learn data science.?
What in the actual frick. Whyyyyyyy does everyone at google look the same!? I thought they were all about diversity, but all these guys at google have a (ugly) beard and big black glasses on a shaven head that looks like a nazi-punk from the 90's. They are all mutating to one (of a) kind!!
I saw his ads in my music organizer and it was soooo long and annoying I have the same ads from Springboard
bro you got more money so u bailed physics dont lie
I wonder if Richard Feynman would go into advertising if he lived today?
useful.
I could listen to him for hours and learn so much
Disagree with the "data learning" part… So what's the point now on having expertise on the data? Just throw it to the model and you're ready to go!
Could you post a link to the dataset (only 8 features) that he mentions?