SuperDataScience
SuperDataScience
Oct 23, 2020
SDS 412: Stand More - Sit Less
12 min
Today I talked with a chiropractor about how to best treat your back while working during the day.

Additional materials: www.superdatascience.com/412
The Artists of Data Science
The Artists of Data Science
Harpreet Sahota
Creativity is a Mindset | Nir Bashan
Nir Bashan is a world-renowned creativity expert. He has taught thousands of leaders and individuals across the globe how to harness the power of creativity to improve profitability, increase sales and ultimately create more meaning in their work. FIND NIR ONLINE Website: https://www.nirbashan.com/ LinkedIn: https://www.linkedin.com/in/nirbashan/ Twitter: https://twitter.com/Nir_Bashan QUOTES [00:05:42] "I wanted to be insanely creative, like some of my heroes and and I noticed that they had a technique, all of them a little bit different, but they all had some technique. And it turns out that that technique makes them no different than you or I or anybody listening to this podcast. And it makes them no different. It's all about coming up with that creativity and learning how to harness it and repeating it and pulling it out whenever you need." [00:08:32] "We live in a society in a day and an age where we can get data on just about anything...But what does it do to have that data? If we're not able to make that information work for us, it's meaningless. " [00:12:42] "We've gotten so comfortable in modernity that we're looking for problems that don't exist" [00:17:00] "A good company and a good person on a career path is armed with creativity to be able to solve problems as they occur in new and different ways. And that really is the most important thing that we can do today to become relevant and to stay relevant and to stay successful." [00:22:49] "I feel that quantification is just the mere act of assigning a number to something and that is just not good enough anymore. It's not." [00:25:51] "The numbers aren't really telling us all that we need to know. There's got to be a different way. There's got to be a new way to look at those things. And that way is creativity." [00:39:25] "Creativity is a component of our DNA and who we are. And in order for us to really be fully evolved human beings, I think we need to balance our analytical drive with the creative drive" [00:53:41] "Egos kill creativity, just like the self-doubt or perhaps even more. We develop egos when we think that we know what will happen and when we think that we have some advantage that other people don't have." SHOW NOTES [00:01:52] Guest introduction [00:02:53] Nir’s journey and path to now [00:05:31] Being creative isn’t just for artists and musicians [00:07:42] Why is it that just having logic alone is not going to be enough to propel us to the next level? [00:10:09] How can a non-creative person discover their creativity and put that to work? Harpreet Sahota:[00:14:29] How has creativity impacted business acumen? [00:18:14] What are some of the practices of the of yesteryear that we need to get rid of to really be successful in the business of tomorrow? [00:21:30] Talking about quantification, can you just kind of make that concept concrete for us? What is it that that you mean when you say quantification? [00:25:24] How you’ve been educated out of the creator’s mindset [00:27:16] The Trinity of Creativity. [00:29:15] Why is it crucial that we shut out the analytical part of our mind? [00:32:56] What creativity means to Harp Nir Bashan: [00:35:06] Why you shouldn’t be afraid to ask “stupid” questions [00:38:12] The importance of being open and receptive and willing to wander off the path that you've paved for yourself [00:39:17] Emotional intelligence and creativity [00:41:04] Positivity and creativity [00:43:58] What questions can we ask ourselves when we’re coming up to a problem to make we frame these problems in more positive ways? [00:46:04] What are the personality traits of creativity? How do we cultivate those traits for ourselves? [00:48:24] How do we catch ourselves when we're having negative internal dialogs so that we can shift ourselves to have more of the cultivated personality traits for creativity? [00:51:24] Psychological safety and creativity [00:54:33] How do we fight something (the ego) that comes naturally to us? [00:55:51] The Four P’s of growth [00:57:10] Why discipline is a pathway to creativity [00:58:18] How we can use a creative mindset to be more creative with our time management? [00:59:36] It's one hundred years in the future: What do you want to be remembered for? [01:00:50] The Random Round Special Guest: Nir Bashan.
1 hr 11 min
Chai Time Data Science
Chai Time Data Science
Sanyam Bhutani
Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122
Video Version: https://youtu.be/2MT7bYZsiV4 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews Ekaterina Kochmar: Lecturer and Researcher at Cambridge University, Co-Founder & CSO at Korbit.ai As you might know, Sanyam is a fan of learning to learn - The topic in general, they bring back the conversation in this episode. Ekaterina has been working on automated language teaching and assessment, which is using machine learning or different tools to augment teaching as an intelligent tutor to build intelligent systems for teaching different concepts for language, specifically English language, and even beyond. They have a deeper dive into this conversation discuss: - What does building a system like this take? - What research goes into it? - What are the interesting trends here? They also dive into Katrina's approach of research, and what does a research pipeline for her look like. Links: https://www.manning.com/books/getting-started-with-natural-language-processing Follow: Ekaterina Kochmar: https://www.linkedin.com/in/ekaterina-kochmar-0a655b14/ https://www.cl.cam.ac.uk/~ek358/ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd
1 hr 19 min
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Felipe Flores
SL-9 The Role of the Chief Data Officer
We are joined by Celine Le Cotonnec, Chief Data & Innovation Officer at Bank of Singapore and Shameek Kundu, Chief Data Officer at Standard Chartered Bank. They share with us their perspective on what the function and goal of the Chief Data Officer is. From Shameek’s experience, the function of the Chief Data Officer role varies by industry, maturity of the organization with respect to data and sometimes even by geographic location. Celine refers to a study that shows a successful data transformation is 20% about tech, 50% about the people’s mindset and 30% process reengineering wherever you are implementing some type of data product. For her, one key aspect of the CDO role is how you manage the people to achieve transformation within the organization. Quotes: * "Many banks that have built some kind of credit model, even with traditional analytics, have seen their models crumble with Covid-19." * "In any successful data transformation; 20% is about the tech, 50% is about people and their mindset and 30% is about process change." * "If you want to detect financial crime, absolutely the holy grail of AI, in order to detect something like financial crime, at least in supervised learning, you need to know that a transaction was financial crime. But all we can do is detect potential financial crime, then we go and report it to a regulator and we never hear back." Thanks to our sponsors: Shine Solutions Group Talent Insights SAS Women in Analytics (WIA) Network Growing Data Read the full episode summary here: #SheLeads Ep 9 Enjoy the ninth episode of our #SheLeads Series! --- Send in a voice message: https://anchor.fm/datafuturology/message
54 min
Learning Bayesian Statistics
Learning Bayesian Statistics
Alexandre ANDORRA
#28 Game Theory, Industrial Organization & Policy Design, with Shosh Vasserman
In times of crisis, designing an efficient policy response is paramount. In case of natural disasters or pandemics, it can even determine the difference between life and death for a substantial number of people. But precisely, how do you design such policy responses, making sure that risks are optimally shared, people feel safe enough to reveal necessary information, and stakeholders commit to the policies? That’s where a field of economics, industrial organization (IO), can help, as Shosh Vasserman will tell us in this episode. Shosh is an assistant professor of economics at the Stanford Graduate School of Business. Specialized in industrial organization, her interests span a number of policy settings, such as public procurement, pharmaceutical pricing and auto-insurance. Her work leverages theory, empirics and modern computation (including the Stan software!) to better understand the equilibrium implications of policies and proposals involving information revelation, risk sharing and commitment.  In short, Shoshana uses theory and data to study how risk, commitment and information flows interplay with policy design. And she does a lot of this with… Bayesian models! Who said Bayes had no place in economics? Prior to Stanford, Shoshana did her Bachelor’s in mathematics and economics at MIT, and then her PhD in economics at Harvard University. This was a fascinating conversation where I learned a lot about Bayesian inference on large scale random utility logit models, socioeconomic network heterogeneity and pandemic policy response — and I’m sure you will too! Visit https://www.patreon.com/learnbayesstats (https://www.patreon.com/learnbayesstats) to unlock exclusive Bayesian swag ;) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ (https://bababrinkman.com/) ! Links from the show: Shosh's website: https://shoshanavasserman.com/ (https://shoshanavasserman.com/) Shosh on Twitter: https://twitter.com/shoshievass (https://twitter.com/shoshievass) How do different reopening strategies balance health and employment: https://reopenmappingproject.com/ (https://reopenmappingproject.com/) Aggregate random coefficients logit—a generative approach: http://modernstatisticalworkflow.blogspot.com/2017/03/aggregate-random-coefficients-logita.html (http://modernstatisticalworkflow.blogspot.com/2017/03/aggregate-random-coefficients-logita.html) Voluntary Disclosure and Personalized Pricing: https://shoshanavasserman.com/files/2020/08/Voluntary-Disclosure-and-Personalized-Pricing.pdf (https://shoshanavasserman.com/files/2020/08/Voluntary-Disclosure-and-Personalized-Pricing.pdf) Socioeconomic Network Heterogeneity and Pandemic Policy Response: https://shoshanavasserman.com/files/2020/06/Network-Heterogeneity-Pandemic-Policy.pdf (https://shoshanavasserman.com/files/2020/06/Network-Heterogeneity-Pandemic-Policy.pdf) Buying Data from Consumers -- The Impact of Monitoring Programs in U.S. Auto Insurance: https://shoshanavasserman.com/files/2020/05/jinvass_0420.pdf (https://shoshanavasserman.com/files/2020/05/jinvass_0420.pdf) Thank you to my Patrons for making this episode possible! Yusuke Saito, Avi Bryant, Ero Carrera, Brian Huey, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, Adam Bartonicek, William Benton, Alan O'Donnell, Mark Ormsby, Demetri Pananos, James Ahloy, Jon Berezowski, Robin Taylor, Thomas Wiecki, Chad Scherrer, Vincent Arel-Bundock, Nathaniel Neitzke, Zwelithini Tunyiswa, Elea McDonnell Feit, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Joshua Duncan, Ian Moran and Paul Oreto. Support this podcast
1 hr 4 min
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