字幕列表 影片播放 列印英文字幕 - Data science didn't really exist when I was growing up. It's not something that I ever woke up and said, "I want to be a data scientist when I grow up." No, it didn't exist. I didn't know I would be working in data science. - When I grew up there wasn't that field called data science. And I think it's really new. - Data science didn't exist until 2009, 2011. Someone like DJ Patil or Andrew Gelman coined the term. Before that there was statistics and I didn't want to be any of those. I wanted to be in business and then I found data science a heck of a lot more interesting. - I studied statistics, that's how I started. I went through many different stages in my life where I wanted to be a singer and then a doctor and then I realized that I was good at math. So I chose an area that was focusing quantitative analysis and from then I do think that I wanted to work with data not necessarily, data science as it's known today. - The first time that I had contact with data science, was when I was in my first year of mechanical engineering. Strategical consulting firms, they use data science to make decisions. So, that was my first contact with data science. - I had a complicated problem that I needed solved. The usual techniques that we had at the time couldn't help with the problem. - I graduated with a math degree in the worst possible time right after the economic crisis. You actually had to be useful to get a job. So I went and got a degree in statistics and then I worked enough jobs that were called data scientist that I suddenly became one. - My undergraduate degree was in business and I majored in politics, philosophy and economics. And then I did a Masters in Business Analytics at New York University at the Stern School of Business. When I left my undergrad, the first company I joined, it turned out that they were analyzing electronic point of sale data for retail manufacturers. And what we were doing was data science but we only really started using that term much later. In fact, I would say, four or five years ago is when we started calling it analytics and data science. - I had several options for my internship here in Canada and one of the options was to work with data science. I used to work in product development but I think that was a good choice. And then I started my internship with data science. - I'm a civil engineer by training, so all engineers work with data. I would say the conventional use of data science in my life started with transportation research. I started building large models trying to forecast traffic on streets, trying to determine congestion and greenhouse gas emissions or tailpipe emissions. I think that's where my start was and I started building these models when I was a graduate student at the University of Toronto. I started working with very large data sets looking at household samples of 150,000 households, half a million trips and that too, I'm speaking from mid-nineties, when this was supposed to be a very large data set but not in today's terms but that's how I started. I continued working with it and then I moved to McGill University where I was a professor of transportation engineering and I built even bigger data models that involved data and analytics. So I would say, yes transportation research brought me to data science.
B1 中級 數據科學的路徑有很多【數據科學101】。 (There are many paths to data science [Data Science 101]) 62 8 陳賢原 發佈於 2021 年 01 月 14 日 更多分享 分享 收藏 回報 影片單字