The Artists of Data Science

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/x26n7HmSYjw 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 Watch the video of this episode: https://www.youtube.com/watch?v=SYiQ1ncCGv8&ab_channel=HarpreetSahota%7CTheArtistsofDataScience 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 Marcus online: https://twitter.com/MarcusduSautoy Watch the video of this episode: https://youtu.be/efIBVILq6WI Memorable Quotes from the show: [00:34:25] "...one has to learn the power of the short cut in statistics, which, you know, I tell the story about the we had this advert when I was a kid which which stated eight out of ten cats prefer a particular type of cat food. And, and we had a cat and I never remember anybody asking our cat what cat food it likes. So it was very striking that when I got to university, I learned about the power of sampling and the fact that, you know, to be able to there are 7 million cats here in the UK. How many cats would you have to ask to be confident enough to make that statement about?" Highlights of the show: [00:00:40] Guest Introduction [00:03:08] Talk to us about where you grew up and what it was like there. [00:08:15] Math is kind of just the language we use to describe it. What are your thoughts? [00:10:49] From your viewpoint, do you think math is an art? Is it a science? Is it a combination of art and science. How do you how do you view this? [00:13:52] What was it about Gauss when we talk about Mathametics? [00:19:02] Is there any virtue in human laziness? [00:21:52] Aristotle, idleness and noble leisure. Discuss. [00:21:59] Speaking of creativity and putting you out of a job, can you discuss a little more about what you talk about in your book about it? [00:27:18] Speaking of creativity, you took time in this pandemic to write a play. How is that coming along? [00:29:44] Fringe Festival in Winnipeg and London Fringe in London. [00:30:07] You shared a story in the book about how we can use math to fight off of vampires. If you could recount that story. [00:33:47] What are some dangers of using statistical shortcuts that we should be on high alert for? [00:39:34] "...data science can be dangerous if it's not combined with a deep understanding of where the data comes from." [00:40:33] Why is it that our that our brains aren't very good at assessing probabilities? 00:44:14] Why is it that some people find that shortcut that Reverend Bayes discovered so controversial? [00:47:02] You talked about the philosophical view of probability. Is it frequentist approach, the Bayesian approach? How do you view probability? What's your take on that? [00:49:41] What is the Lovelace test and in what ways is it different from the Turing test? [00:56:25] You talk about a few different types of creativity in your book, please eloborate. [01:06:17] What is it about a mathematician's mindset that is deterministic and foolproof and of engineers? [01:09:34] It is 100 years in the future. What do you want to be remembered for? Random Round [01:10:46] What was your best birthday and how old were you at that birthday? [01:11:42] What's the worst movie you've ever seen? [01:12:06] What would you do on a free afternoon in the middle of the week? 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 Watch the video of this episode: https://www.youtube.com/watch?v=30uugRuW5_E&ab_channel=HarpreetSahota%7CTheArtistsofDataScience 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 Danny online: https://www.datawithdanny.com/ Watch the video of this episode: https://youtu.be/VgQ_Hhq4AlM Memorable Quotes from the show: [00:34:25] "I think in general, just we should really be out there to help others instead of trying to help ourselves in a way. Like I know of a few larger names who the social media presence is, their business, essentially. And I know that's really important. Like everyone has to make money, feed their families, buy all the things that they need in life and all that aspirational sort of things. But in a sense, like for me, like I don't know if this is this might be similar for you as well." Hightlights of the show: [00:00:40] Guest Introduction [00:02:32] Where you grew up and what it was like there. [00:03:57] What's life in Sydney been like for you? Have you come to North America? Have you done a compare and contrast that what's different and what's the same? [00:06:20] What kind of kid were you during high school and what did you think your future would look like? [00:10:35] You and I somehow came from a similar type of background, having a kind of walk that actuarial path we're entering into this data science kind of field. Tell us what was your experience like with those exams. [00:12:52] What was it about kind of doing that actuarial work that made you want to leave it behind and move to this data thing? [00:18:13] How did you figure out that what it was that you needed to figure out in order to make it in this field? [00:22:43] How do you try to ensure that you've got as fresh a perspective as possible? Do you even need a fresh perspective as possible? What are your thoughts on that? [00:29:14] We're just talking about what it means to be a data science influencer. What are your thoughts on what it means to be a a data science influencer? [00:32:57] Do we have an influencer quality - What responsibility do we have to these people that are following us? [00:36:51] What do you consider the difference to be between coaching and mentorship? [00:39:27] How can somebody go and go about finding a mentor? [00:43:07] What elements can you take and apply to this new thing that you want to do in the essence of creativity as well as finding different things that on the surface of it don't look like they belong together. But when you put them together, it actually gels quite nicely. [00:44:40] Do you have any tips on on how I can be a better mentor? [00:53:09] Talk to us abouth the love of SQL. How did this happen? Is this something that you've always just enjoyed? Has SQL always been your favorite part of the entire data science ecosystem? How this deep, deep love of SQL happened? [00:57:23] Can we draw the line between a data analyst and a data scientist? [01:08:32] What's your take on the importance of taking action on an idea you have in your mind there? [01:12:00] It is 100 years in the future, what do you want to be remembered for? [01:13:01] At what point did your meme game get so dank? [01:15:21] What are you currently reading? [01:17:05] What song do you currently have on repeat or stuck in your head? Random Round [01:18:00] Who inspires you to be better? [01:18:09] What's the best piece of advice you've ever received? [01:18:15] Who is one of your best friends? [01:18:29] If you were a vegetable, what vegetable would you be? 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 Watch the video of this episode: https://youtu.be/LR81rcjuaFk 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 Chanin online: https://th.linkedin.com/in/chanin-nantasenamat Watch the video of this episode: https://youtu.be/pCHubISFBTI Memorable Quotes from the show: [00:31:42] "So I would believe that scientific method would be the science part of data science, and the data could be biology, chemistry, physics, business data, economic ecology. So I would believe that it's pretty much like a plug and play like data could come from many discipline. And then the analytic part, the machine learning part would be to take that data and make it into an interpretable model." Highlights of the show: [00:00:36] Guest Introduction [00:03:12] Where you grew up and what it was like there? [00:04:22] What brought you back to Thailand? [00:05:15] How different is your life now than what you thought it would be growing up? [00:07:03] When it comes to making YouTube videos, what is your most favorite part about making the YouTube videos and what is the part that you just liked the least? [00:08:02] What part of it is the toughest? Is it just that the editing and the blogging and stuff like that? Or is there some parts of it where you're just like, Oh, man, I hate doing this? [00:09:47] What is bioinformatics and how did you get into that? [00:11:22] Was there any additional upskilling that you had to do in machine learning or data science topics? And if there was any additional upskilling, what was your process to acquire that knowledge? [00:17:19] "How do I figure out what projectsI want to do, how to figure out what I want to research?" hat advice do you typically give to such questions? [00:19:00] What is drug discovery? Where does data science enter into the mix here? [00:22:28] Do you have any interesting use cases or studies you can share with us that talk about the involvement of machine learning and drug discovery, like a friendly, easy to read paper or maybe one of your YouTube videos if you got something like that? [00:26:26] Do you know of anything that's been released on the market that has used this (drug discovery) approach? Is it widely used? Is it commonly used? Or is this kind of something that's right now just a theoretical idea? [00:27:09] YouTubing, but where did that spark to help other data scientists come from? [00:31:40] where is the science in data science? [00:34:30] The methodology, a traditional machine learning problem or deep learning one. The process methodology is a little bit different. You worked with both of those, how would you say it's compare and contrast that if you would for us? [00:36:50] Talk to us about a few of your blog posts. [00:43:43] It is 100 years in the future, what do you want to be remembered for? [00:44:45] When it comes to the future of of data science and machine learning, what applications are you most excited about in the field of drug discovery or bioinformatics? What gets you hyped up when you think about it? [00:46:38] What are you currently reading? [00:48:06] What song do you currently have on repeat? [00:48:38] What are your pet peeves? [00:49:02] Do you have any nicknames? [00:49:22] What talent would you show off in a talent show? [00:49:44] When was the last time you changed your opinion about something major? [00:51:29] What's your favorite city? 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 Watch the video of this episode: https://www.youtube.com/watch?v=32znIxJoFRo 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 Christina online: https://www.linkedin.com/in/christinastathopoulos Watch the video of this episode: https://youtu.be/FCQZfuhV6vY Highlights of the Show: [00:01:32] Guest Introduction [00:03:24] Where did you grow up and what was it like there? [00:04:18] You spent a decade abroad in Spain. How did that happen? [00:06:28] How did you transition into analytics? [00:08:31] How did you learn another language as an adult? Was that challenging? How did you figure that out? [00:13:48] You and Kate are quite busy. How do you balance all of these activities, all of these speaking engagements and teaching, plus having a full time job? [00:18:17] How did you develop this reading habit and how are you getting all these books? Are you getting them delivered to you or do you have a book exchange thing? How's this working? [00:20:35] Do you do audiobooks or just strictly so? [00:21:50] How can someone who's new to this space (analytics) decide which direction is right for them? And how did you figure out what direction you wanted to go into? [00:24:53] What are some soft skills that you think have helped you really excel in your career? [00:29:16] Russell defined your multilingual skills with spoken and written language. Do you find that they help you when translating between different coding languages? [00:31:08] How can we simplify complex tasks? [00:32:59] When you put yourself into their shoes, is there some kind of universal thing that most CEOs tend to care about or universal points that you've noticed through all these interactions that you've had, if such a thing could exist? [00:38:18] How did you overcome technological challenges? If you face that challenge at all. What I'm trying to ask is learning new things as they come up in your career. How do you handle that? How do you manage that? [00:42:51] Is there anything that you feel like you're just a natural at? [00:43:31] In terms of the new methodologies and new technology that is coming out, is it mostly the academic research stuff? Is the cutting edge deep learning stuff? What do you find more fascinating? [00:46:20] "How do you practice being present during tough times and tie back to your purpose with the work you do?" [00:49:39] If you had any words of advice or encouragement for the women who are breaking into or that are currently in our world of data science? [00:52:43] What can we do to foster inclusion of women in data science? [00:57:04] It is 100 years in the future. What do you want to be remembered for? Random Round [00:57:54] You've done a lot of traveling 50 countries. What's the most beautiful place you've ever seen? [01:02:39] What song do you have on repeat? [01:05:19] What incredibly strong opinion do you have that is completely unimportant in the grand scheme of things? [01:06:01] What was your best birthday? [01:06:10] Do you have any nicknames? [01:06:24] What's your worst habit? 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 Watch the video of this episode: https://youtu.be/6wNvlO8Jj7o 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