The Artists of Data Science

Support the show: https://www.buymeacoffee.com/datascienceharp Find Fabrice online: https://twitter.com/fabricemesidor Watch the video of this episode: https://youtu.be/HfPZkuU65OY Memorable Quotes from the episode: [00:42:14] "I find that coding and math. I mean, the entire machine learning models today are really complex. So pick something to have fun with. You don't have to be stuck with quickly coding enough to start working on something that you don't like. So you need to take a project that you will have fun. You just enjoy. And the second thing is, don't be scared of the challenge." Highlights of the show: [00:01:17] Guest Introduction [00:02:57] Where you grew up and what it was like there? [00:05:05] You grew up in Haiti. In high school, what did you think your future would look like? Do you think you'd end up in the middle of winter in York? [00:07:19] Do you like microeconomics or macroeconomics better? Which one do you do you prefer? [00:08:55] How did you end up in Papua New Guinea? What was it like working in Papua New Guinea like? [00:16:48] Share some tips with us on how to remain focused. [00:18:42] Breaking into data science, you had to really upskill in Python. How did you apply those (excel skills) techniques when you're learning Python? [00:20:48] Share some tips for public speaking and giving talks about Data science? [00:30:00] Talk to us about your project idea. How did you get the idea for this project and what was what was your big takeaway from it? [00:31:54] How'd you get the Data for the movie scripts? [00:33:23] Applying machine learning to hip hop lyrics, so I thought that was really cool. So walk us through how you came up with the idea for this project. [00:34:59] While applying machine learning to hip hop lyrics. what was your problem statement? What methodology did you use? Did you did you grab just the lyrics or did you grab the audio? Or did you combine audio and lyrics? How did you piece that project together? What was the big question that you're trying to answer? [00:37:48] Did you have any type of criteria for which songs to include and which song not to include? [00:42:11] What can the audience take away from this so they can go create some creative stuff for themselves? [00:43:55] Do you have some favorite places that you go, some websites or anything like that? [00:46:45] How do you guys use data science to to to help people like meet their goals? [00:48:42] It is one hundred years in the future. What do you want to be remembered for that? Random Round [00:49:35] If you were to write a fiction novel, what would it be about and what would you title it? [00:50:21] When do you think the first video to hit one trillion views on YouTube will happen and what will it be about? [00:51:49] What are you currently reading? [00:52:29] What song do you have on repeat? [00:53:47] What are you interested in that most people haven't heard of? [00:54:42] How long were you able to hold your breath for? [00:55:23] What would you do on a free afternoon in the middle of the week? [00:55:32] What's the best thing you got from one of your parents? [00:56:45] Pancakes or waffles? 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/h2JVRSR22Ec Resources: https://conference.measureofmusic.com/ 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 Justin online: https://www.linkedin.com/in/justingcgu Watch the video of this episode: https://youtu.be/78sZh6iwoj0 Show Highlights: [00:01:00] Guest Introduction [00:01:44] Where you grew up and what was it like? [00:04:41] It (was) assumed that there are only three possible career choices. Either you can be your doctor, an engineer, or it could be a failure. Was that the same kind of mentality that you had growing up with your parents? [00:13:22] I'm guessing that person didn't grow up in the internet era to be able to come with these really interesting ideas that you have. What's your thoughts on that? How did you come up with some great ideas that you've discussed. [00:17:14] Why is career services not the core piece of the college offering? [00:33:00] Do you think there are some myths out there associated with the ATS applicant tracking system? [00:43:05] Share some tips on how to make a good LinkedIn headline. Do you have any tips you can share with us for that? [00:48:05] What cheat code can you share with us with respect to the 'About Me' section? [00:52:48] it's one hundred years in the future. What do you want to be remembered for? [00:54:36] What are you most inspired by right now? [00:55:32] What do you believe that other people think is crazy? [00:58:00] What song do you currently have on repeat? [00:58:32] Which fictional place would you most like to go to? [00:59:28] What is your theme song? [01:00:14] Do you got any nicknames? [01:01:03] Who is one of your best friends and what do you love about them? 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 Happy Hour 69 hosted by Antonio Ivanovski Watch the video of this episode: https://youtu.be/c1Pd6hK4NoE Resources: https://coolhunting.com/style/puma-satori-lux/ https://onthemarkdata.medium.com/making-sense-of-ethereum-data-for-analytics-17655c4859d0 https://www.instagram.com/lizandmollie/?hl=en https://www.sound.xyz/soulection/untitled-001 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/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

Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/Y1xrax0G86c Resources: https://intel.wd1.myworkdayjobs.com/External/job/US-Oregon-Hillsboro/Enterprise-Master-Data-Architect---Technical_JR0206661 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 Alyssa online: https://www.linkedin.com/in/sophiaalyssasimpson Watch the video of this episode: https://youtu.be/IqDE0kZOyag Memorable Quotes from the Episode: [00:24:42] "The best Data is is real data that is generated either by humans. Sometimes that's emails or whatever that use case is that you're solving. So I'll take a frequent use case, which is often like prioritization of support. Tickets is a classic model that teams want to build inside a lot of different types of organizations. You have zillions of support cases coming in for, and you want to just categorize them or you want to understand which ones are most severe that need to be answered first." Highlights of the Show: [00:01:27] Guest Intro [00:03:05] You mentioned being an unlikely A.I. leader in your book, please talk to us about that. [00:04:29] What could possibly go wrong if all we did was focus on creating accurate machine learning systems and just focus on that accuracy metric? [00:08:08] Can you share some strategies with us for identifying the types of problems that A.I should solve? [00:11:57] What is the Goldilocks problem? How do we define the Goldilocks problem? [00:13:21] Can you share some tips with us to understand or tell, at least if a problem is going to be well suited to using machine learning? [00:24:21] How do we make sure that it's the right data that we're using? [00:28:34] If we have data that needs annotation, how do we check the quality of those annotations? How do we know where to go to get annotated? Do you have any tips around that? [00:36:03] Talk to us about the importance of Data strategy. [00:38:59] How do you deal with challenges like data governance in an organization if you face those? [00:40:21] Being a woman in tech, if you might be able to just share some advice or words of encouragement for the women. [00:45:03] Random Round. [00:45:04] It is one hundred years in the future. What do you want to be remembered for? [00:45:40] When do you think the first video to hit 1 trillion views on YouTube will happen and what will that video be about? [00:46:38] In your opinion, what do most people think within the first few seconds of meeting you for the first time? [00:46:56] What are you currently reading? [00:47:34] What song do you have on repeat? [00:48:06] What's your worst habit? [00:48:30] What's your favorite candy? 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/DnPVmB3vAEM Resources: https://docs.python.org/3/library/pdb.html https://pythonexamples.org/python-breakpoint-example/ https://pythontutor.com/ https://www.bvp.com/atlas/roadmap-data-infrastructure 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/jsNZCiTGWVM Memorable Quotes from the show: [00:04:37] "...When you open the book, the first thing you see is not financial advice. I am not a CFA. I'm on a talent. I have no mechanism to understand your personal financial situation. My goal, which I say in the book, is to transfer my way of thinking to like a book so that you can understand how I think about this stuff in a sort of economics and finance so that you can make an intelligent decision of like what percent of my investment portfolio should they allocate to this crazy bitcoin nonsense." Highlights of the show: [00:00:49] Guest Introduction [00:01:40] How you got interested in blockchain in the first place? [00:05:17] Who did you write this book for? [00:06:33] You also talk about some 'stablecoin; What the heck does that even mean? [00:07:55] What causes the prices of coins go super high and skyrocketing? [00:10:23] When people talk about blockchain and crypto, can we conflate those two? When I say crypto, does that just mean a coin or does crypto also refer to blockchain? [00:13:13] Why do we have blockchain when we do have PayPal? [00:15:06] Talk to us about "Finan". [00:16:20] What is money and why should inflation affect how we think about money? [00:23:39] Ethereum. [00:36:25] What do 'liquidity' and 'correlation' mean and can you help us out with an example? [00:42:52] What 'loss aversion' is all about? Can you describe this concept? Is that why losing money hurts us because it takes so much more effort to get it back? [00:44:52] What's the average person want from finance and how can decentralized finance be useful for them? [00:50:15] Talk about some traits of a good portfolio? [00:55:06] Concept of how to pick a 'protocol'. What do you look at when you're picking a protocol? [01:05:06] It's one hundred years in the future. What do you want to be remembered for? [01:06:21] Talk about some of your interviewing experience(s). [01:18:43] What are you currently reading right now? [01:19:38] What is one of your favorite smells? [01:20:15] What's something you wish you figured out sooner? 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/Xeanz9yORZI Resources: https://en.wikipedia.org/wiki/5D_optical_data_storage https://en.wikipedia.org/wiki/The_Feed_(British_TV_series) https://en.wikipedia.org/wiki/Upload_(TV_series) https://qr.ae/pGB0pB https://studios.disneyresearch.com/category/robotics/ https://twitter.com/mxcl/status/608682016205344768?s=21 https://vinvashishta.substack.com/p/machine-learning-is-the-key-to-metaverse https://www.starwars.com/news/the-mandalorian-stagecraft-feature https://www.wired.com/story/notpetya-cyberattack-ukraine-russia-code-crashed-the-world/ https://www.youtube.com/c/SQLBI 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