The Artists of Data Science

Watch the video of this episode: https://youtu.be/iHhULKL_iAU Resources: 🔗 https://www.makeovermonday.co.uk/ https://github.com/amirziai/sklearnflask/ https://falconframework.org/ https://substack.com/profile/16324927-vin-vashishta https://vinvashishta.substack.com/p/leadership-essentials-setting-clear https://towardsdatascience.com/design-a-federated-learning-system-in-seven-steps-d0be641949c6#3c54-b11966999cd5-reply https://github.com/phecy/SSL-FEW-SHOT 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: YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData

Watch the video of this episode: https://youtu.be/R4Xr5OiVuzo Find Andy online: https://twitter.com/PragmaticAndy https://www.linkedin.com/pragmaticandy Memorable Quotes from the episode: [00:04:41-00:04:43] "I probably discovered computers around seventy six, seventy seven or so. In fact, the very first computer I ever experienced up close and personal not just read about was a teletype typewriter with an acoustic color. And you know, the kids in the audience are going, What's an acoustic coupler, grandpa? Right? If you remember the movie war games, you dial the phone with a handset and you stick a handset down in these foam cups and it goes. It makes the noises, and that's how you talk to the big giant mainframe, you know, and then literally in the next county over. So that was sort of my first, my first experience and I was hooked." [00:35:54] "You are told in school that you're a dummy, that you can't ever learn anything that you're not good at Math. Oh my God. You know, I'm not a violent person, but I would shoot every teacher who told some girl, Oh, girls aren't good at math. You don't need to study that right? Bullshit. Hundred percent legit bullshit. The problem with that Is if you've been told by an authority figure, by a teacher that you can't learn something and then you believe it, then your brain wires itself so that you're not going to be able to learn it. It's a self modifying machine and it becomes a self-fulfilling prophecy. Which, to me, it's criminal. It's absolutely criminal." Highlights from the show: [00:01:32] Guest Introduction [00:02:40] Talk to us a little bit about where you grew up and what was it like there. [00:05:54] From the early age, did you just decide I'm going to go to school and I'm going to study computers and software? [00:11:00] What is it with this pragmatic stuff? What does that mean to you? [00:13:14] What if you're somebody who's just been constrained by your processes? [00:20:16] Is it possible for me to be able to think like a software engineer, like an exceptional software engineer or software developer without necessarily being one? [00:34:04] What is expertize and why is it so difficult to articulate? [00:38:25] Can you talk to us about what Dreyfus model is and and why is it important that we understand this Dreyfus model? [00:41:58] What's a good way for us to kind of accurately self assess where we would fall on this spectrum? [00:54:18] How was it that you got interested in these type of books (pragmatic thinking) and how have they helped you and your journey? [00:58:15] It's one hundred years in the future. What do you want to be remembered for? [01:00:50] What is GROWS method? [01:06:23] What are you listening to right now? What do you have on kind of repeat? 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: YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData

Resources: 🔗 https://missing.csail.mit.edu/ https://www.amazon.com/Pro-Git-Scott-Chacon-ebook/dp/B01ISNIKES/ https://progit2.s3.amazonaws.com/en/2016-03-22-f3531/progit-en.1084.pdf https://www.udemy.com/course/git-and-github-bootcamp/ https://github.com/romkatv/powerlevel10k https://github.com/ericgitonga/code-snippets https://twitter.com/HBOMaxHelp/status/1405712235108917249 https://fossbytes.com/linus-torvaldss-famous-email-first-linux-announcement/ https://theartistsofdatascience.fireside.fm/greg-coquillo https://hbr.org/2009/01/picking-the-right-transition-strategy http://www.jefflichronicles.com/blog/2020/9/26/i-got-7-job-offers-during-the-worst-job-market-in-history-heres-the-data Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode of Emily Balcetis: http://theartistsofdatascience.fireside.fm/emily-balcetis The Artists of Data Science Social links: YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfDataLinks:MIT EDUScott Chacon EbookUdemy Course - git and github bootcampCode SnippetsHBOMAXHELPFOSSBYTESGreg Coquillo's EpisodePicking The Right Transition StrategyJefflichronicles.com/blog

Find Emily online: https://www.psychologytoday.com/us/contributors/emily-balcetis-phd Video of this episode: https://youtu.be/5SrfAxUHLyw Highlights of the show: [00:00:20] Guest Introduction [00:02:40] Where did you grow up and what was it like there? [00:07:09] Is life different now than what you imagined it would be? 00:10:02] At a high level, how does this experience we call site work? Is it just like, seeing things? And that's it, like what's going on in my head when I'm looking at something? [00:14:21] You talk about these four different ways that are our sight helps us achieve our goals. Can you talk about them at a high level? [00:28:13] Once we do find that one thing we want to focus on, like, how do we push ourselves through to the finish line? [00:38:36-00:38:41] Can you help us understand what narrow focus is as knowledge workers? How can we use narrow focus to help us achieve our goals? [00:45:55] how do we concretely identify a definitive moment of success before starting our journey? [01:01:39] Positive feedback can sometimes backfire, right when we're pursuing our goals. What what is it about that? [01:09:30] It is one hundred years in the future. What do you want to be remembered for? [01:10:33] Random Round [01:10:37] What's on your bucket list this year? [01:10:52] What makes you cry? [01:11:09] What's one of your favorite comfort foods? [01:11:27] What's the last book you gave up on and stopped reading? [01:12:08] What are you currently reading? [01:12:45] What song do you got on repeat nowadays? *The Artists of Data Science Social links: * YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData

Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: http://theartistsofdatascience.fireside.fm/john-vervaeke The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Visit Eric online: https://twitter.com/iamericokon?lang=en Video of this episode: https://youtu.be/k6KOE4VDVpg Highlights of the Show: [00:00:53] Guest Introduction [00:01:38] Where did you grow up and what was it like there? [00:04:05] When you're coming up in high school, like, was this kind of expected of you to go into the family business? Was it that big at that time? [00:05:53] What kind of jobs did you have coming up in the family business? [00:11:48] How did you go from working in the family business to eventually getting into the podcast game? What was the most that transition? Eric: [00:31:32] Are you a believer in the law of attraction? Eric: [00:34:45] ...because you're a scientist, are you spiritual? Eric: [00:36:53] Have you ever been to mediums or anything like that? [00:41:16] Would you rather be stuck on a broken ski lift or a broken elevator? [00:42:12] What are you interested in that most people haven't heard of? https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: http://theartistsofdatascience.fireside.fm/john-vervaeke The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Find John online: https://www.youtube.com/user/johnvervaeke Podcast episode of the show: http://theartistsofdatascience.fireside.fm/john-vervaeke Memorable Quotes from the Episode: "Wisdom isn't about dealing with ignorance, wisdom is about dealing with foolishness, and foolishness has to do with misunderstanding. Understanding is to appropriately grasp the significance or relevance of what you know." [00:41:26] "Your worldview is your ultimate home. It's the home of all homes, right? And so we had a bunch of practices that arose within the axial age worldview, The two, worlds worldview." Highlights of the Show: [00:00:29] Guest Introduction. [00:02:40] Where did you grow up and what was it like there? [00:05:38] Was it you just researching other religions and getting into other religions? [00:12:14] "Problem formulation is doing a lot of the heavy work." [00:17:35] How do we how do we know if we're stuck in like a local optimum? [00:30:13] How do we increase insight? [00:32:35] Can you help us understand what is the axial age? When did the first one start? Why do you think it started? [00:42:36] What is the essence of the meaning crisis? [00:42:49] Where do you go for wisdom? [00:49:59] How do we cultivate wisdom within ourselves if there's kind of a scarcity of a wisdom institution and the kind of help us understand where the wisdom institution is as well? [00:59:35] Apps like Clubhouse, for instance, do you think this is kind of helping to facilitate these wisdom institutions or does something need to kind of be more formal in place to make that happen? [01:00:12] Propaganda and propaganda means it propagates, right? [01:02:49] Random Round. [01:02:55] What if something you can never seem to finish? [01:03:25] What have you created that you are most proud of? [01:03:38] What is an unpopular opinion that you have? [01:03:57] Pet peeves.

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Visit Madison Schott here: https://www.instagram.com/maemaddie/ https://linktr.ee/maemaddie Watch video of this episode: https://www.youtube.com/watch?v=ODxVKFTt2II MEMORABLE QUOTES FROM THE EPISODE [00:21:49] "...I think a lot of people in the wellness community don't talk about is that one diet doesn't fit everyone you want to eat. What makes you feel good? Don't eat a diet just because someone else is saying that that the best for the environment or best for your health, like listen to your own body. It's so important." [00:23:10] "…I guess a few things that have personally helped me a lot is sleep. I was definitely so sleep deprived throughout high school and college, and good sleep really makes a huge difference." [00:32:53] "I guess people don't value their health as much as they should, too, which is honestly sad, but they don't realize how everything relates. Like, I think more and more people are kind of taking control of their health, but at least with young people, I think older people are still stuck in their ways and the ideas that are etched in their minds." HIGHLIGHTS OF THE SHOW [00:01:00] Guest Introduction [00:05:35] How different is life now than what you imagined it would be? [00:09:16] Where do you see Data Engineering headed in like the next two to five years? [00:11:24] What aspiring Data engineers could do now to help prepare themselves for the future? [00:12:14] What are some blogs or newsletter that you currently are following or subscribe to? [00:13:30] What are your thoughts about data engineering becoming the new sexiest job of the century? [00:14:23] What's the difference between a data architect and a data engineer? [00:15:30] How are you thriving so far in the quarantine? [00:24:13] Scientific secrets of optimal timing. [00:26:55] How black coffee on an empty stomach affects your hormones. [00:27:50] How have you been implementing this into your daily routine? [00:29:31] What is your morning routine like? [00:34:06] What are some skills that you think that are not technical at all that people in the data and the tech field should cultivate to continue their success in their career? [00:35:13] Learning how to learn: How have you developed and cultivated that skill for yourself? [00:42:30] What can the Data Community do to help foster the inclusion of women in Data Science types of roles? [00:43:19] It's one hundred years in the future. What do you want to be remembered for? [00:44:25] RANDOM ROUND [00:44:27] When do you think the first video to hit $1 trillion views on YouTube will happen and what will it be about? [00:45:12] When do you think the world will end, Madison? [00:45:43] In your opinion, what do most people think within the first few seconds of meeting you for the first time? [00:46:27] What are you currently reading, currently reading? [00:48:52] What are you currently listening to? Speaking of music, what do you have on repeat? [00:49:22] What is one of your favorite smells? [00:49:37] What's something you wish you'd figured it out sooner? [00:49:52] Do you ever sing when you're alone?