The Artists of Data Science

Watch the video of this episode: https://youtu.be/wvkxi-Et29M Find Loris Marini online: https://www.linkedin.com/in/lorismarini/ https://www.discoveringdata.com Support the show: https://www.buymeacoffee.com/datascienceharp Memorable Quotes from the show: [00:33:01] "We all matter, we are all part of this and we need one another. I can't do that a science well, if the data is not reliable, if it's not trusted, if it's not connected to the business via metadata by a data management program that touches anyone. And so it's really a mind, a change of of mindset from. You can add value as a team in isolation to, well, not really. Data is the common denominator to everything we do, whether we like it or not. Everything we do generates Data." Highlights of the Show: [00:01:27] Guest Introduction. [00:03:01] Where did you grow up and what was it like there? [00:05:13] What the heck is quantum photonics and how did you get into that? [00:08:51] How did you go from awesome, crazy physics stuff into Data science? [00:12:41] Talk to us about your experience of hardcore physics and research and how did that experience lead you into the Data project? [00:14:58] What did that look like when you were venturing out as the first data scientist? [00:17:57] Data architecture. Talk to us about that transition. What was that transition like? What made you be like, "Oh my God, I need to put the Data science down and pick up the Data architect stuff" [00:21:11] What is the difference between Data engineer and the data architect? [00:24:47] What do you think a data scientist at a minimum should know about Data architecture and the role that Data architect plays? [00:35:27] You're talking about the difference between data, information, knowledge and strategy. What's the difference between these? How does data, information or knowledge play into a strategy? [00:40:44-00:40:46] What's the name of that podcast by Brian O'Neill? [00:53:03] I love creating machine learning models and then you're trying to do stuff and then you realize that your hands are tied because there's no infrastructure in place; there's no desire or nobody cares about your fancy algorithms and anything like that. How can we start making a culture happen for success? [00:58:04] Talk about this latter of Data needs that goes from data integration, data access and data transformation kind of walk us through that process and then talk to us about why transformation that part is so hard. [01:02:03] It's one hundred years in the future. What do you want to be remembered for? [01:04:00] What do you think is the most mysterious aspect of the universe, which you say that this uncertainty principle is that? Or is there a different thing that is more mysterious than that to you? [01:05:02] When do you think the first video to hit one trillion views on YouTube will happen and what will that video be about? [01:05:33] Who do people tell you that you look like? [01:06:10] What are you currently reading? [01:07:17] What song do you currently have on repeat? [01:08:02] What's the last book you gave up on and stopped reading? [01:08:45] What fictional place would you most like to go to? [01:09:21] What languages do you speak? [01:09:25] 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: YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/NPIjuY_0HYU Support the show: https://www.buymeacoffee.com/datascienceharp Resources: http://ecai2020.eu/papers/348_paper.pdf https://arxiv.org/pdf/1912.10564.pdf https://cds.nyu.edu/wp-content/uploads/2019/06/RDS_TentativeSyllabus.pdf https://dagshub.com/ https://discord.gg/ngNdE5Tvzy https://diversity.google/annual-report/ https://hal.inria.fr/hal-01522418/document https://insights.stackoverflow.com/survey/2021#salary-comp-total https://www.kaggle.com/discussion https://www.linkedin.com/feed/update/urn:li:activity:6889576309601640448/ https://www.linkedin.com/in/reid-blackman-ph-d-0338a794/ https://www.microsoft.com/en-us/ai/responsible-ai-resources 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/JN7Anqiv2fU Find Dr. Joe online: https://www.linkedin.com/in/jwperez Support the show: https://www.buymeacoffee.com/datascienceharp Memorable Quotes from the Episode: Highlights of the Show: 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/nLf0_0I6uvU Resources: https://abseil.io/resources/swe_at_google.2.pdf https://register.gotowebinar.com/register/6783119648565141771 https://services.google.com/fh/files/misc/practitioners_guide_to_mlops_whitepaper.pdf https://theartistsofdatascience.fireside.fm/andy-hunt https://www.benjerry.co.uk/flavours/flavour-graveyard/rainforest-crunch 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Scott Taylor: https://www.linkedin.com/in/scottmztaylor/ https://www.metametaconsulting.com Watch the video of this episode: https://youtu.be/LZHB6wcAUdg Memorable Quotes from the Episode: [00:26:52] "... if the Data science community worked more closely with the Data management community, I think we can, you know, let's stamp out wrangling or at least munching. Let's stamp out munching at least in our lifetime, since so many of those issues that people spend time on could be solved in the Data management side of the house. They may even have that data. I don't know how many times I learned at DB even at DB, where people were just like kind of starting over looking at something, it's like, you know, there's an existing list somewhere." Highlights of the Show: [00:01:29] Guest Intro [00:03:42] Where'd you grow up? What was it like there? [00:05:07] How did you get education in the United Nations School? [00:07:06] How how did you get into Data? [00:07:54] What was the first job you had? [00:09:52] How did you end up learning about "Data"? [00:12:56] What are the four Cs you talk about in your book? [00:13:37] How have databases transformed from the time you started working on it? [00:29:31] What would be the first thing you do to help your organization start on a path to creating a Data strategy? [00:46:02] Random Round [00:46:07] It's one hundred years in the future. What do you want to be remembered for? [00:47:22] When do you think the first video to hit one trillion views on YouTube. Will happen and what will it be about? [00:48:41] So what are you currently reading? [00:48:57 What's something that you watch recently? [00:50:36] What about music? What do you got on repeat? [00:51:15] What makes you cry? [00:56:10] What talent would you show off in a talent show? [00:58:28] What are you interested in that most people haven't heard of? [00:58:43] What's your earliest memory? 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/2rKppfByI5c Resources: https://datascienceharp.medium.com/i-thought-failure-was-my-destiny-until-i-realized-it-made-me-who-i-am-today-1a8bd4ccb1e2 https://dev.to/arslan_ah/grokking-leetcode-a-smarter-way-to-prepare-for-coding-interviews-5d9d https://fs.blog/mental-models/ https://github.com/jwasham/coding-interview-university https://juniortosenior.io/ https://vinvashishta.substack.com/p/assessing-a-data-scientists-coding https://www.jefflichronicles.com/mental-models https://youtu.be/4Qta0MyEoYU 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/SButPV_V2-A Memorable Quotes from the Episode: [00:20:38] Most of the identifiers that associate a transaction with a person are just a series of letters and numbers, so it's not easy to trace back that Jonathan has sent Harpreet Sahota 1000 or 1000 bitcoin or something, but you can see all the transactions from the very, very beginning and you can export it. You could, you know, any number of data analytics products that you could run against it, just like any data store. One hundred percent, you can affect the data and get right to it, but you can obviously read and if you export it, you can do anything with it. Highlights of the Show: [00:00:40] Guest Introduction [00:02:58] Talk to us a bit about where you grew up and what it was like there. [00:06:14] How did this love of technology kick-off? How did you get interested in it? [00:09:15] What is a blockchain and how is this different from what we're used to seeing in Data structures? [00:15:05] Every time I hear about blockchain in the same sentence, almost they talk about cryptocurrency. So the exact same thing, or can we use them in place of each other? How does this work? [00:21:35] What are the implications of blockchain technology for data governance data management? [00:27:02] What is the difference between public permissioned and private blockchains. [00:45:42] Randon Round. [00:45:52] What's your favorite piece of clothing that you own? [00:46:13] Who are some of your heroes? 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/035XW6k-Kls 00:00:31 Harpreet's Year End Message Regular Episodes Recap The Most Internationally listened to episode: https://youtu.be/-5EBk43uWD4 00:04:30 The Smartest Person in the Room | Christian Espinosa 00:05:36 Clearer, Closer, Better | Emily Balcetis 00:06:30 Meditations on Power and Mastery | Robert Greene 00:08:09 Pulling the Grim Trigger | Kevin Zollman 00:08:27 Your Job Doesn't Define YOU | Eleanor Tweddell 00:08:45 Explainable Data Science | Denis Rothman 00:09:03 Choose Who You Become | Chase Caprio 00:09:24 Your Beliefs Aren't Reality | Dave Gray 00:09:58 How to build a Data Science Culture | John K Thompson 00:10:51 Data Science Thunder From Down Under | Steve Nouri 00:11:55 The Philosophy of Sentientism | Jamie Woodhouse 00:12:42 The Shape of Geometry | Jordan Ellenberg 00:13:09 Our Nearest Neighbour | Ken Jee 00:13:40 Learning How To Learn | Barbara Oakley 00:14:04 Skip the Line |James Altucher 00:14:20 How to think like a data science billionaire | John Sviokla 00:15:02 Do What You Love Doing | Lillian Pierson 00:15:46 The Tesstimony | Jonathan Tesser 00:16:33 The Fearless Factor | Jacqueline Wales 00:16:56 Simplify Complexity | David Benjamin 00:17:22 Cultivate Your Rest Ethic | Max Frenzel 00:17:51 The Complete Man | Purdeep Sangha 00:18:26 Tales of a Data Engineer | Dennis Will 00:18:47 Subliminal Motives | Eric Okon 00:19:12 Become a Pragmatic Data Scientist | Andy Hunt 00:20:10 Turn the Lights on Data | George Firican 00:20:47 Give Your Brain Some Space | Tiffany Shlain 00:21:52 Wellness for Data Professionals | Madison Schott 00:22:24 The Industrial Philosopher | Cristina Digiacomo 00:23:05 Turn Ideas into Gold | Steven Cardinale 00:23:37 NLP and Philosophy | Kourosh Alizedah 00:24:17 The Book of Why | Dana Mackenzie 00:24:49 The International Woman of Data - Christina Stathopoulos The Happy Hours Recap 00:25:40 Question/Answer and Mentoring 00:26:26 What title should be written on the resume? 00:30:44 Sharing the hot seat with friends of the show! 00:31:38 What is the best way to break into research? 00:32:45 How to organize while working? 00:33:19 When will Linkedin content creators start making money? 00:33:47 What's up with the billion hours of YouTube video KPI? Having Fun 00:36:07 Jeff Li's freestyle rap session! 00:36:56 Insights with Eric 00:37:45 What is the perspective of Data on social media? 00:38:58 Credits 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/82m6j8ZJgPI Resources: https://www.moreintelligent.ai/10kcasts/ 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Watch the video of this episode: https://youtu.be/7YhEjJFkRjI Resources: https://apps.ankiweb.net https://github.com/jeffmli/data-science-deliberate-practice https://www.amazon.com/Interpretable-Machine-Learning-Python-hands-ebook/dp/B08PDFXXRL/ref=zg_bs_16977174011_7?_encoding=UTF8&psc=1&refRID=3TCSJQCA9WPJ5601MEG1 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/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp