Hugo Bowne-Anderson's guest appearances

Hugo Bowne-Anderson

Chat With Traders

IBM thinkLeaders

MLOps.community 

Turn the Lens with Jeff Frick

Kenny Glick

Michael Samuels

Andrew Falde

Aaron Fifield

Zach Hurwitz

Steve Burns

Nolan Bauerle

Dennis Mortensen

Amanda Palmer

Jeremy Howard

Michael Katz

Claude Shannon

Jimmy Soni

Jack Conte

Gregory Zuckerman

OwlTail

I always enjoy a look into the lives and activities of those fortunate professionals who carry the title of 'Evangelist.' Hugo Bowne-Anderson, Head of Data Science Evangelism and Marketing for Coiled joined me from the future, Sydney, Australia for a conversation on all things Coiled, Dask, and the Pythonic ecosystem. Hugo shares a unique perspective, having been a practicing data scientist in the world of molecular cell biology, as well as an instructor, developing and delivering online interactive data sciences classes that have been enjoyed by over half a million learners. A big part of Hugo's mission is the capture and share the stories of how people are using data science to improve our lives, one application at a time. Thanks, Hugo. Show Notes LinkedIn Article YouTube Video  (DISCLOSURE*: This interview was sponsored by Coiled. Neither Coiled nor other sponsors have editorial control over the content)

I always enjoy a look into the lives and activities of those fortunate professionals who carry the title of 'Evangelist.' Hugo Bowne-Anderson, Head of Data Science Evangelism and Marketing for Coiled joined me from the future, Sydney, Australia for a conversation on all things Coiled, Dask, and the Pythonic ecosystem. Hugo shares a unique perspective, having been a practicing data scientist in the world of molecular cell biology, as well as an instructor, developing and delivering online interactive data sciences classes that have been enjoyed by over half a million learners. A big part of Hugo's mission is the capture and share the stories of how people are using data science to improve our lives, one application at a time. Thanks, Hugo. <a href="https://www.menlocreek.com/podcasts/hugo-bowne-anderson-turn-the-lens-episode-15" rel="noopener nofollow" target="_blank">Show Notes</a> <a href="https://www.linkedin.com/pulse/from-prototype-production-ai-accelerated-jeff-frick-he-him-/" rel="noopener nofollow" target="_blank">LinkedIn Article</a> <a href="https://youtu.be/-uGyjZwTZ1A" rel="noopener nofollow" target="_blank">YouTube Video</a> (DISCLOSURE*: This interview was sponsored by Coiled. Neither Coiled nor other sponsors have editorial control over the content)

Hugo Bowne-Anderson: Data Scientists, Evangelists, Easy Button | Turn the Lens #15

How can we better promote AI literacy? What skills are commonly lacking in organizations? Are new people entering the field considering bias in AI?In this episode of IBM thinkLeaders podcast, we are joined by guest Hugo Bowne-Anderson (Data Scientist at DataCamp) to discuss how we can better promote AI and digital skills. We talk to Hugo about the skills that people often overlook, how to build out successful teams, and how new people interested in AI can overcome hesitations. Connect with us @IBMthinkLeaders (#thinkLeaders) &amp; our guest at:@hugobowne@DataCamp

How can we better promote AI literacy? What skills are commonly lacking in organizations? Are new people entering the field considering bias in AI? In this episode of IBM thinkLeaders podcast, we are joined by guest Hugo Bowne-Anderson (Data Scientist at DataCamp) to discuss how we can better promote AI and digital skills. We talk to Hugo about the skills that people often overlook, how to build out successful teams, and how new people interested in AI can overcome hesitations. Connect with us @IBMthinkLeaders (#thinkLeaders) &amp; our guest at: @hugobowne @DataCamp

Promoting AI literacy w/ Hugo Bowne-Anderson of DataCamp

For this episode, I speak with Hugo Bowne-Anderson; a data scientist at DataCamp (an educational platform for learning to code) and host of the DataFramed podcast.The idea for asking Hugo to appear on this episode, was to chat about learning a programming language. Because for some traders, having the ability to write code can have great advantages—such as having the ability to collect stats on market behavior, perform research in a robust data-driven way, visualize large amounts of data, backtest and analyse trading ideas, implement algorithmic strategies, etc.Plus more professional trading firms and finance related positions now require applicants to have some programming skills. And the same goes for many industries, which should be no surprise, considering a recent IBM study revealed that ‘90% of the world’s data has been created in the last two years alone.’Hugo and I discuss when someone should consider learning to code, determining what’s relevant, the time it takes to become fluent in a programming language, working with new datasets, what to be wary of when using predictive models. And for fun, I ask Hugo (as a data scientist) how he’d go about creating a basic strategy… Learn more about your ad choices. Visit megaphone.fm/adchoices

For this episode, I speak with Hugo Bowne-Anderson; a data scientist at <a href="https://www.datacamp.com/?tap_a=5644-dce66f&amp;tap_s=275059-bab7ad" rel="nofollow" target="_blank">DataCamp</a> (an educational platform for learning to code) and host of the <a href="https://www.datacamp.com/community/podcast?tap_a=5644-dce66f&amp;tap_s=275059-bab7ad" rel="nofollow" target="_blank">DataFramed</a> podcast.The idea for asking Hugo to appear on this episode, was to chat about learning a programming language. Because for some traders, having the ability to write code can have great advantages—such as having the ability to collect stats on market behavior, perform research in a robust data-driven way, visualize large amounts of data, backtest and analyse trading ideas, implement algorithmic strategies, etc.Plus more professional trading firms and finance related positions now require applicants to have some programming skills. And the same goes for many industries, which should be no surprise, considering a recent <a href="https://public.dhe.ibm.com/common/ssi/ecm/wr/en/wrl12345usen/watson-customer-engagement-watson-marketing-wr-other-papers-and-reports-wrl12345usen-20170719.pdf" rel="nofollow" target="_blank">IBM study</a> revealed that ‘90% of the world’s data has been created in the last two years alone.’Hugo and I discuss when someone should consider learning to code, determining what’s relevant, the time it takes to become fluent in a programming language, working with new datasets, what to be wary of when using predictive models. And for fun, I ask Hugo (as a data scientist) how he’d go about creating a basic strategy… Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices" rel="nofollow" target="_blank">megaphone.fm/adchoices</a>

166: Hugo Bowne-Anderson – The Trader’s Guide for Learning to Code (with a Data Scientist)