The Artists of Data Science

Support the show: https://www.buymeacoffee.com/datascienceharp

Watch the video of this episode: https://youtu.be/yXCUm7au25U

Memorable Quotes from the episode:

[00:23:18] "Positivity paradox is that when you feel like you have to be positive, you feel worse because you're required to do what's called surface acting, and that's also I think it's very similar to emotional labor. This shows up a lot in customer service jobs. So if a customer is being really rude to you and you kind of put a smile on your face, pretend like they're being totally reasonable and take whatever vitriol they're spitting at you."

Highlights of the Show:

[00:00:46] Guest Introduction

[00:03:16] Talk to us about where you grew up and what it was like there?

[00:07:34] What did you think your future would look like when you grew up?

[00:12:37] Talk to us about distinction between emotional intelligence and being reasonably emotional. What's the difference between these two kind of ideas?

[00:17:40] How do you find space throughout the day to kind of just detach from some of these demands that you have of your time?

[00:23:10] Talk to us about the positivity paradox.

[00:29:07] Can you share some tips for newbies who are coming into an organization where maybe there's already these in-person relationships that have been developed and you're joining a team of colleagues kind of in this remote sense as a person on a screen like how can we develop meaningful work relationships if we're coming into a new environment in this virtual kind of world?

[00:32:11] Talk to us about the user manuals and how can they help with developing and building team cohesion?

[00:33:59] I really like that idea of the user manual but is this something that we can implement regardless of, you know, the depth or length of a work relationship?

[00:37:06] How can we start doing some implementing some of the stuff that we're learning books like yours?

[00:46:31] What are some other tips you might be able to share with that with our audience that find themselves in that situation where they've teammates now?

[00:51:07] How do we go about defining or cultivating a team culture?

[00:56:47] What about those people who just always seem to disagree and question everything that comes out of our mouth, right? How do we deal with with these people?

[01:00:37] How we can use our voices to support the women in Data science and just women in our organizations in general?

[01:04:40] Random round.

[01:04:41] It is one hundred years in the future. What do you want to be remembered for?

[01:07:16] When do you think the first video to hit one billion views on YouTube will happen?

[01:08:35] What are you currently reading?

[01:09:22] How do you effectively tell an accurate story about Data to an audience that might not be Data savvy?

[01:09:33] What song do you have on repeat?

[01:10:00] What languages do you speak?

[01:10:09] Who is one of your best friends and what do you love about them?

[01:11:42] What's the best thing you got from one of your parents Legos?

[01:12:43] What's your go to dance move?

Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh
Register for Sunday Sessions here: http://bit.ly/comet-ml-oh
Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark

The Artists of Data Science Social links:
Support the show: https://www.buymeacoffee.com/datascienceharp
YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience
Instagram: https://www.instagram.com/datascienceharp
Facebook https://facebook.com/TheArtistsOfDataScience
Twitter: https://twitter.com/datascienceharp

MEMORABLE QUOTES FROM THE EPISODE:

[00:29:37] "The coin flips aren't influencing each other. Without that assumption, the law of large numbers might not be true."

[00:13:01] "...mathematics is the art of giving the same name to different things, which is an amazing insight, because it's so true to what we are doing in mathematics that, you know, on a very basic level, we use the fact that a triangle over here and the same triangle over here have the same properties we don't really worry about."

[00:16:52] "...it means constructing this classical Greek way where there's only two tools you're allowed to use a compass and a straight edge. So it allows you to draw a straight line between two points or something that allows you to draw circles."

Jordan Ellengberg's twitter: https://twitter.com/JSEllenberg

HIGHLIGHTS FROM THE SHOW

[00:01:19] Guest Introduction

[00:03:02] Where you grew up and what it was like there?

[00:03:58] What were you like in high school?

[00:04:49] Jordan talks about geometry

[00:05:24] Talks about being a biostatistician

[00:08:10] Even William Wordsworth cared about math

[00:10:35] Modern translation of Euclid's work

[00:12:32] How is a circle the same as a square in topology?

[00:25:32] What what does the law of large numbers have to do with free will?

[00:32:20] Did you start to look at the history of the ideas by writing books, or was this something that you're always interested in?

[00:40:26] Is language markov chain?

[00:50:09] Relationship between the Golden Ratio and eigenvalues

[00:57:14] What does Galileo knew about a thrown object?

[01:01:28] RANDOM ROUND

[01:02:13] What are you currently reading?

[01:02:40] What song do you have on repeat?

[01:03:16] What is your theme song?

[01:04:01] What is something you can never seem to finish?

[01:04:27] What's one place you have traveled to that you never want to go back to?

[01:04:45] To the last one from here. What's the worst movie you've ever seen?

[01:05:02] What's your favorite candy.

[01:05:14] How can people connect with you and where can we find you online?

Special Guest: Jordan Ellenberg.

On this episode of The Artists of Data Science, we get a chance to hear from Scott Page, a professor who studies complex systems and collective intelligence teams and political and economic institutions. He's known for his research on and modeling of diversity and complexity in the social sciences with a particular interest in the roles that diversity plays in complex systems. His book, “The Model Thinker”, stresses the application of ensembles of models to make sense of complex phenomena.

Scott shares with us his predictions into the future of machine learning, the importance of using a simple model, and how diversity impacts productivity. This episode is packed with amazing content that all data scientists and machine learning practitioners can apply in their lives. It was an absolute pleasure chatting with Scott!

WHAT YOU'LL LEARN

[12:41] Scariest applications of machine learning we might see

[24:56] What is a model, and why must they be simple?

[33:30] Many model thinking and it’s advantages

[47:07] How diversity impacts productivity

[49:46] How creativity impacts success, and how to be more creative

QUOTES

[6:31] “...you have to separate achievement from purpose.”

[35:45] “...if you really want to understand a complex phenomena, you've got to look at it with lots of lenses...”

[45:02] “...what you really want...is people who are acquiring different ways of thinking and understanding different tools, because then the whole is going to be so much more than the sum of the parts.”

[46:36] “Creativity is the union of sets. Getting at the truth is the intersection of sets.”

SHOW NOTES

[00:01:15] Introduction for our guest

[00:02:45] What drew you to the field of modeling in general and specifically game theory and complexity?

[00:03:49] So what were some of the challenges you faced while you're paving your own lane in the field?

[00:05:34] Separate achievement from purpose

[00:06:53] The synergy of ideas

[00:10:24] The biggest positive of machine learning on society in the next two to five years.

[00:12:35] The scariest applications of machine learning in the next two to five years?

[00:14:00] The online echo chamber

[00:15:12] Big data versus thick data

[00:17:05] Is thick data like longitudinal data?

[00:19:23] As practitioners of data science and machine learning, what do you think will be some of our biggest areas of concern?

[00:21:34] The “Scott Page Canned Beets” argument

[00:24:49] What is a model and why must they be simple?

[00:26:10] What are the three classes of models?

[00:26:50] What are the seven uses of models, aka the REDCAPE?

[00:29:00] The wisdom hierarchy

[00:31:14] The importance of assumptions while constructing a model

[00:33:20] Many model thinking vs single model thinking

[00:35:53] The difficulties of modelling human behavior

[00:39:02] Identity diversity versus cognitive diversity

[00:42:42] Cognitive diversity and mental models

[00:44:43] Cognitive diversity for knowledge workers

[00:45:14] Diversity and creativity

[00:47:04] In what ways does diversity make systems more productive?

[00:48:28] Is Data science machine learning to be an art or purely a hard science?

[00:49:31] Success and creativity

[00:51:32] What's the one thing you want people to learn from your story?

[00:53:41] The lightning round

Special Guest: Scott E. Page.

Support the show: https://www.buymeacoffee.com/datascienceharp

Watch the video of this episode: https://youtu.be/uYWKVCdNjPk

Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh
Register for Sunday Sessions here: http://bit.ly/comet-ml-oh
Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark

The Artists of Data Science Social links:
Support the show: https://www.buymeacoffee.com/datascienceharp
YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience
Instagram: https://www.instagram.com/datascienceharp
Facebook https://facebook.com/TheArtistsOfDataScience
Twitter: https://twitter.com/datascienceharp

Support the show: https://www.buymeacoffee.com/datascienceharp
Find Lara online: https://www.drlarapence.com/
Watch the video of this episode: https://www.youtube.com/watch?v=jKwGLkMvzis

Memorable Quotes from the Episode:

[00:38:09] "Whatever we can do to actually, like, connect to our fellow man and woman is really, really important. And exercise and activity is a big way to do that. And the community serves our mental health. Whether you're an introvert or an extrovert, it doesn't really matter. Being around people serves you and allows you to feel like you're part of something like a belonging, right? So I think in all those ways, activity and exercise is huge for individuals who are just really trying to establish a baseline of mental health."

Highlights of the show:

[00:01:31] Guest Introduction

[00:03:03] Where you grew up and what it was like there?

[00:04:56] Did you think you're going to be into when you're in high school?

[00:06:36] It's fascinating that you love to study humans because we are interesting, interesting creatures.We always like to compare ourselves to others. So what is it? What is it about humans that make us always go through this, this comparison thing?

[00:09:13] If somebody else is talking the same topics that I'm talking about and they've got a bigger audience, if anything, they're attracting more people to it. So it's just this little mindset shift. Can we work through my comparison issues on the air? Is that something you want to explore with a couple of questions?

[00:13:13] Speaking to my audience, a lot of them are are definitely future leaders, if not already current leaders. It may include senior level management type of level, things like that. As we move up the chain in responsibility it can get tempting for us to take on more and more responsibilities, right?

[00:13:31] At some point we need to start saying no, but how? How do we go about saying no? Why is it important that we are able to say no?

[00:17:17] "Busy calendar and a busy mind will destroy your ability to do great things in the world."

[00:19:02] Decision making is definitely an important aspect of data science, especially at the leadership level. You've got to make decisions, you've got to make them well because the consequences could cost in many different ways. I wonder if you can share some ways for us to improve our decision making process.

[00:22:58] Let's talk about self-awareness as it relates to coming up with our values. First, how do we describe self-awareness in this context? How can we use that to help us identify our values?

[00:26:37] Is there something that we can attest that we can give ourselves to determine just how self-aware we actually are?

[00:29:33] What is this concept of of a personal true north? Talk to us about this this concept and how do we define that for ourselves?

[00:31:27] What are some surefire ways that that we can use to make sure that we can avoid distraction and stay productive?

[00:35:55] There's an interesting connection between movement and mental health, if you just talk to us a little bit about that.

[00:39:49] How do we fight that urge and force ourselves to get that movement in because it's going to help us in the long term, right?

[00:44:01] Talking about your obsession with curiosity. What do you find so curious about curiosity?

[00:46:31] "I don't need anyone's permission to be curious either. It's free."

[00:46:44] What can I do to ensure that I don't do anything that would cause him (Harpreet's son) to lose that curiosity?

[00:49:21] How do we cultivate that sense of curiosity as adults?

[00:51:24] It is 100 years in the future. What do you want to be remembered for?

Random Round

[00:52:11] What are you most active with in terms of podcasting?

[00:53:06] What is the the life box substance about this?

[00:54:46] What in your opinion, what do you think people think within the first few seconds of meeting you for the first time?

[00:55:11] What are you currently reading?

[00:55:31] What song do you have on repeat?

[00:55:54] What accomplishment are you most proud of?

[00:56:26] What sport are you playing?

[00:56:31] What makes you cry?

[00:57:14] What is your favorite city?

[00:57:50] What is something you can never seem to finish?

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Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh
Register for Sunday Sessions here: