Data science
Field of studyWikipedia
84
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20
EPISODES
20
PODCASTS
Search complete. 84 mentions across 20 episodes found for "Data science".
Nov 4, 2026
第 1078 集:特納斯新官上任多搞作!發光蘋果 MacBook 做乜要篤篤?
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16:47MaxHOST
嗯。
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16:47达姐HOST
Data science 啊,或者是怎么样可以用好些 AI agents 啊,怎么样用 Python 去做不同的 development 啊,那么这一方面的议题呢,都有一-有一堆,呃,即-即是 sessions 呢,是可以报-报名参加啦。另外呢, day 2 呢,就是,呃,星期日。
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17:10MaxHOST
星期日,嗯。
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17:11达姐HOST
11月14、15号嘛,15号呢,就会有一个叫做 Development Sprint 的,呃,类似工作坊的东西啦,那么大家可以有些 hands on 啲的活动,可以跟现场的朋友去交流一下。我,但,呃,就是大会的日程,第二天的日程呢,就未完全公布完的,但是呢,呃,都会,就是,呃,expect 呢,是有一些现场玩的一些活动咯。那么所以大家对于这个 Python 或者 AI 或者是,呃,呃,不同的 community 有兴趣的话呢,都可以去报名-
Fiber lasts decades, GPUs last three years: the AI boom isn't the dot-com boom (Ep. 318)
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0:47Francesco GadaletaHOST
Together with Eric Gaffney and Sasha Sheng, they launched a model called JEV.
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0:54Francesco GadaletaHOST
For those who don't know what JEV is, I made a podcast episode about JEV that is also on YouTube and on the official website datascienceatom.com. And now, Jeff is, I will explain better what Jeff is, you know, just to make this episode self-contained, though I believe that the episode I'm referring to is much more complete and gives you a really good grasp on what Jeff does, can do, and potentially cannot do.
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1:21Francesco GadaletaHOST
Now, alongside this company, Diogo Almeida and TypeSafe AI They raised something like $40 million seed round.
F
1:32Francesco GadaletaHOST
The round was led by DCVC and Forbes put the valuation at around $200 million.
14 MINS LATER
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15:17Francesco GadaletaHOST
And it's the same for the same reasons, and that's also what I'm discussing today.
F
15:20Francesco GadaletaHOST
So let me give you five of them.
F
15:22Francesco GadaletaHOST
And if you're a manager, I want you to recognize these and please get back in comments on YouTube or the official website or even on Discord where we can interact with each
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15:32Francesco GadaletaHOST
other.
The Limits of Prediction in Sports and Elections
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1:01Eric BradlowHOST
Welcome to Wharton Moneyball, the podcast edition here on the Wharton Podcast Network.
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1:05Eric BradlowHOST
This is Eric Bradlow, Professor of Marketing, Statistics, and Data Science here at the Wharton School.
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1:10Eric BradlowHOST
Some combination of myself, and you can see today I'm here joined by my two longtime friends and co-hosts, Professor Adi Wyner, Professor Shane Jensen.
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1:17Eric BradlowHOST
Between the three of us and Cade Massey, we're here, I'm going to say, every week on Wharton Moneyball.
Practical Significance | Episode 71: Under the Hood—Statistics, Data Science, and AI at SDSS 2027
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2:51GlennGUEST
The first is Polaris Data Labs.
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2:53GlennGUEST
It's a bespoke data science and machine learning consultancy for life science companies.
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2:58GlennGUEST
And then the other company I work for is called IGOR.
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3:01GlennGUEST
It's an electronic lab notebook and lab information management system.
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3:04GlennGUEST
So basically the two different sides of helping life scientists deal with their data, one on the bespoke consulting, more traditional statistics, data science and analytics side.
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3:15GlennGUEST
And then on the other side, it's the software essentially consulting building the products and tooling that they use to help record their data and get the most of it.
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3:23Donna LaLondeHOST
That's fantastic.
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3:45SarahGUEST
I've also organized some sessions a few years beforehand.
Fast Break with Coach Scheyer - October 28th
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49:04David ShumateHOST
If you're worried about his workload, I am not, because he's been working in the NBA for the last several years.
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49:08David ShumateHOST
While he was doing that, he got a Master's of Data Science from Northwestern in 2022.
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49:13David ShumateHOST
That was while working in the NBA.
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49:16David ShumateHOST
So I guess I do want to talk about that experience and choosing to come here to college.
Episode 129: Building Digital Twins Executives Can Trust
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0:00Genevieve HayesHOST
Hello and welcome to Value-Driven Data Science, where data professionals become strategic experts.
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0:08Genevieve HayesHOST
I'm Dr. Genevieve Hayes, and today I'm joined by Dr. Greg Beagle.
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0:13Genevieve HayesHOST
Greg is the author of Digital Twins in Action and has been working as a researcher, software developer, architect, and product manager across academia, startups, and large enterprises for the past 26 years.
26 MINS LATER
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26:02Genevieve HayesHOST
Put them in the show notes.
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26:03Greg BiegelGUEST
Thank you.
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26:04Genevieve HayesHOST
And that's it for today's episode of Value Driven Data Science.
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26:08Genevieve HayesHOST
But if you want more from Greg, next week you can catch our Value Boost episode, where you'll learn how to map a physical system to its digital representation, one of the first steps involved in building a digital twin.
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26:22Genevieve HayesHOST
And if you found today's episode useful and think others could benefit, please leave us a rating and review on your favourite podcast platform.
Global Progress in the AI Era: Shalina Wadhwani: Start with the problem, not the AI tool
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4:42Shalina WadhwaniGUEST
Even at Carnegie Mellon in 2015, there was a lot of talk of AI.
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4:46Shalina WadhwaniGUEST
They're a top AI data science and robotics school in the world.
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4:49Shalina WadhwaniGUEST
But all the talk they were doing, including in the boardroom setting, was in two contexts.
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4:54Shalina WadhwaniGUEST
One, academic, and two, commercial, large-scale enterprise use cases of AI.
15 MINS LATER
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19:57Shalina WadhwaniGUEST
It's a reason that actually we as a family have also funded what has now become the largest school of AI.
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20:06Shalina WadhwaniGUEST
in India at one of the Indian Institutes of Technology, IIT Madras.
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20:12Shalina WadhwaniGUEST
And this school, it's the Woodwiney School for AI and Data Science.
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20:16Shalina WadhwaniGUEST
Its biggest program is dedicated solely to ethical, safe, and responsible AI so that, you know, we're building all of that research into the tools that we're deploying.
MMA Fighter Who Raised $4M to Build a Document AI Platform - Diego Perez, Anyformat
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2:46Anthony DanHOST
I know you used to be a data scientist at BBVA and then moved in to be a professor.
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2:50Anthony DanHOST
What was that like then? Because you were a professor in AI and data science, wasn't it?
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2:55Diego PerezGUEST
Yeah, I was a...
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2:57Diego PerezGUEST
I started doing software engineering and from early on I loved algorithms and AI.
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3:04Diego PerezGUEST
I did my master's in AI and I was, you know, deep diving into what was machine learning 14 years ago, 13, something like that.
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3:17Diego PerezGUEST
A lot of time.
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3:19Diego PerezGUEST
And I loved So the NLP, so I, when I started, you know, my career, I was, okay, I want to work as a machine learning engineer that wasn't even a thing here in Spain, but was the mix between software engineering and data science.
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3:38Diego PerezGUEST
So we didn't have that kind of role.
EP 52: The AI CEO: Leadership, Governance & the AI Gold Rush
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1:28Sam DayHOST
Today's guest wrote the book on that, literally.
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1:33Sam DayHOST
Welcome to Data Science with Sam.
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1:35Sam DayHOST
My today's guest is Dr. Zahara Timsa, co-founder and CEO of iGenetic AI, and also the author of the book, AI CEO, and one of the most credentialed voices at the intersection of AI governance and leadership.
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1:52Sam DayHOST
Zahra holds a PhD in biochemistry, an MBA in strategy, and an MSc, and has led AI transformation at IQVIA, MassMutual, and GSK.
21 MINS LATER
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22:45Sam DayHOST
Listeners, please check out the podcast show notes.
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22:48Sam DayHOST
I shared Zahra's contact details, her LinkedIn profile, and feel free to reach out to her if you want to continue the conversation around AI governance, leadership, and also want to know more about her book, The AI CEO.
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23:02Sam DayHOST
And so that's all from the Data Science with Sam.
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23:05Sam DayHOST
If you enjoyed this episode, don't forget to subscribe to my YouTube channel.
AI Responsibility and Culpability
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41:04Margot JacksHOST
Thanks for listening to UVA Data Points.
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41:07Margot JacksHOST
More information can be found at datascience.virginia.edu.
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41:12Margot JacksHOST
If you're enjoying UVA Data Points, be sure to give us a rating and review wherever you listen to podcasts.
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41:18Margot JacksHOST
We'll be back soon with another conversation about the world of data science.
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