The Artists of Data Science

John is an international technology executive with over 30 years of experience in the business intelligence and advanced analytics fields. He has experience building start-up organizations from the ground up and has reengineered business units of Fortune 500 firms to enable them to reach their full potential. FIND JOHN ONLINE LinkedIn: https://www.linkedin.com/in/johnkthompson/ Twitter: https://twitter.com/johnkthompson60 Website: https://mktng-sciences.com/ Book Website: http://www.winningwithintelligence.com/ QUOTES [00:07:27] "We, as data scientists, understand data drift and model drift very well. But most people outside the field don't. So they say is: 'I hired these people. They built a model. That should be the end of it. It should work into the future and forever. And as we know, they don't" [00:15:16] "Oh, it's definitely an art. There's no doubt about it...data science is a creative endeavor. It is an artistic endeavor." [00:26:22] "And I've said it many times. You probably heard me say it before. We are Data scientists. We are not magicians. We can't just make stuff up. We have to have something to work with.." [00:30:02] "An open mindset is really, in my opinion, is often characterized and exhibited by a voracious curiosity." [00:31:34] " I've often seen people through my career - and they generally don't do very well in data science - that they think they know everything. And they think they know how to approach every problem..." HIGHLIGHTS FROM THE SHOW [00:01:27] Guest introduction [00:02:51] A general data science problem solving framework [00:08:48] Artisanal vs factory data science teams [00:13:23] How does the artisanal or factory culture happen on data science teams? [00:15:13] Is Data science and art or science? How do you view it? [00:17:47] The creative process in data science [00:20:21] Phase separation in data science [00:22:10] How to manage executive expectation when a fair chunk of data science is research [00:24:47] Help us understand what is a good idea? What is a bad idea? What separates the two? [00:28:02] What to do when you’re working on a problem but nothing seems to work [00:29:35] Open mindset vs fixed mindset [00:32:50] Ditch the map, use a compass the story? Yeah, we do think there's a there's a future in those computers. [00:35:39] Where do you see the field of Data things headed in the next two to five years? [00:38:47] What was your journey like going from an individual contributor to executive level? [00:41:17] What makes analytics so unique? [00:42:33] How would you handle that situation where you have somebody who thinks they know your job and is trying to tell you what to do and not to do? [00:45:57] Learn to build, learn to sell. [00:48:01] How to become a better communicator [00:51:06] As the first data scientist in an organization, how can we ensure that we're building or at least cultivating a culture for analytics to thrive? [00:53:31] How can we balance and this creative, iterative, unpredictable process of analytic discovery with those environments that have these operational or production process-oriented characteristics? [00:55:59] Does agile development practices work on data science teams [00:58:20] Linear and non-linear thinking [01:01:23] Where on the org chart do data science teams belong? [01:04:23] What are some unreasonable expectations that executives and management have of startup data science teams? [01:08:15] It is one hundred years in the future, what do you want to be remembered for? [01:08:46] The Random RoundSpecial Guest: John K Thompson.

TRANSCRIPT, SHOW NOTES, AND COUPON CODES WILL BE ADDED SOON! I'M HELLA BUSY THIS WEEKEND! Andrew Jones, https://data-science-infinity.teachable.com/, CODE: HARPREET_IS_THE_MAN 50% OFF OF COURSES FROM KATE: https://datacated.com, CODE: HARPREET_IS_THE_MAN 50% OFF OF COURSES FROM GEORGE FIRICAN: https://www.lightsondata.com/, CODE: HARPREET_IS_THE_MAN FREE COURSE FORM KEN JEE: https://www.udemy.com/course/how-to-start-a-career-in-data-science/?couponCode=HAPPY-1YEAR Promo code: HAPPY-1YEAR DAVE'S HOOKING US UP WITH 50% OFF HIS COURSE! https://bit.ly/FromExcelToMLBundle, 50% Code: HARPREET_IS_THE_MAN 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 Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-jobSpecial Guests: Brandon Quach, PhD, Carlos Mercado, Greg Coquillo, and Kate Strachnyi.

Robert is the legendary number one New York Times best-selling author of six books exploring topics ranging from the nature of power, to strategies for war, to seduction, and the development of mastery. FIND ROBERT ONLINE TWITTER: https://twitter.com/robertgreene INSTAGRAM: https://www.instagram.com/robertgreeneofficial QUOTES [00:11:36] "The world that we all take for granted was built by people with ambition. And so there's nothing selfish about it. It's the desire and the want to create things to contribute to society." [00:16:03] "We are seeing an epidemic of irrationality, of people who have completely loosened themselves from science, from reality, from truth, you know, and it's frightening. " [00:24:28] "That's what all great thinkers and entrepreneurs innovators do. They simply imagine something else. They imagine other possibilities in the world." [00:42:06] "Don't be afraid of that. Don't be afraid to fail. Don't be afraid to get a little bit lost, as long as you have an overall sense of direction." [00:50:16] "It takes so much more minutia. It's a more arduous process to get to that stage of creativity." [00:52:15] "And second of all, that reading my books can actually change who you are, can change how you think and how you look at the world." HIGHLIGHTS FROM THE SHOW [00:01:21] Guest introduction [00:02:31] We learn about where Robert is from [00:04:07] What kind of kid were you in high school? [00:05:12] Robert talks to us about some interesting experiences he had while traveling across the country at age 17 [00:07:45] What Robert thought his future would look like [00:10:20] Do you ever get jealous or feel envious of people who don't have ambition? [00:14:39] How do you see history repeating itself in 2021 and beyond? [00:19:00] Which aspect of human nature is going to kind has been sending us off in this direction of irrationality and into this revolutionary type of age? [00:23:27] What would be the keys of power or the keys to power in this situation? [00:32:38] Robert suffered a stroke in 2018, he shares his progress on the road to recovery [00:34:12] How 50 Cent help inspire Robert to write Mastery – and he share stories about 50 Cent’s work ethic [00:37:26] Robert talks about the six stages of mastery [00:42:36] Robert shares some tips on how to go about finding a mentor [00:46:46] What would you say is the difference between art and science? [00:50:57] It’s 100 years in the future, what do you want to be remembered for? [00:52:56] The Random RoundSpecial Guest: Robert Greene.

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Connect with Ayodele LinkedIn: https://www.linkedin.com/in/ayodeleodubela/ Twitter: https://twitter.com/DataSciBae Check out her course on LinkedIn Learning: https://www.linkedin.com/learning/supervised-learning-essential-training/supervised-machine-learning-and-the-technology-boom [00:00:55] Do you think you need to have creativity be creative as a data scientist? [00:06:58] Some tips on how to answer technical interview questions (coding challenges) for machine learning engineer positions [00:11:29] Resume review and tips for resumes [00:20:44] Resume advice for freshers [00:28:29] Tips on how to present projects on your resume [00:31:27] Connecting with people on LinkedIn [00:35:21] The progression from individual contributor data scientists to a leadership role by way of product management [00:40:18] Ayodele talks about her experience at startups [00:42:31] Data Scientists are not like servers at a restaurant. You don't exist just to take orders and then go find things in the data to match these orders. You should be more of a trusted advisor. [00:45:00] Books to build your business acumen [00:47:36] Adopt a “founders mindset”

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 Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job [00:05:07] The difference between Docker and Virtual Environments [00:13:46] What is the best way to serve a model [00:17:02] What does Docker have to do with serving models? [00:19:34] A brief history of container technology [00:21:32] How do you best integrate Data scientist in a company? [00:28:04] Integrated data science teams [00:37:20] What is the best strategy for data scientist for navigating larger companies? [00:42:59] A question on feature selection and dimensionality reduction [01:05:43] When does it make sense for a company to hire a CDO?Special Guest: Brandon Quach, PhD.

Jonaed is a fierce advocate for extraordinary individuals who have chosen to bypass the traditional college route and go straight into impacting the world. He's also the CEO of NoDegree and host of the NoDegree podcast. CONNECT WITH JONAED ONLINE LinkedIn: https://www.linkedin.com/in/jonaed/ Podcast: https://www.nodegree.fm/ HIGHLIGHTS FROM THE SHOW [00:02:00] We learn about where Jonaed is from [00:04:15] It's like we're entering a completely new, different economy, right? [00:04:59] What Jonaed thought his future would look like [00:06:53] Why Jonaed is all about no degrees [00:09:14] How do you think education is going to change going forward? [00:11:57] Education does not always mean school. [00:13:58] Careers that are not requiring degrees [00:17:09] What's wrong with the way that people are networking on LinkedIn? [00:20:55] How to make it easy for people to help you [00:23:24] Tips on engaging with content and messaging people [00:25:44] When it comes to LinkedIn, what are people doing wrong to get attention. [00:28:02] How to up your engagement [00:28:53] Jonaed’s process for creating LinkedIn posts [00:29:55] Become a better writer [00:32:09] We get into Jonaed’s podcast [00:34:50] Soft skills and the new economy [00:36:45] We talk about introversion and chronobiology [00:40:31] We talk smack about those viral LinkedIn posts [00:42:04] We talk about Jonaed’s business: NoDegree and common resume mistakes we see over and over again [00:46:19] Imposter syndrome [00:48:23] It’s 100 years in the future, what do you want to be remembered for? [00:49:17] The Random RoundSpecial Guest: Jonaed Iqbal.

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Connect with Ayodele LinkedIn: https://www.linkedin.com/in/ayodeleodubela/ Twitter: https://twitter.com/DataSciBae Check out her course on LinkedIn Learning: https://www.linkedin.com/learning/supervised-learning-essential-training/supervised-machine-learning-and-the-technology-boom

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 Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjmSpecial Guests: Greg Coquillo, Kate Strachnyi, Mikiko Bazeley, and Vin Vashishta.

Paul Thagard,is a philosopher, cognitive scientist, and author of many interdisciplinary books. He is Distinguished Professor Emeritus of Philosophy at the University of Waterloo and a Fellow of the Royal Society of Canada, the Cognitive Science Society, and the Association for Psychological Science. CONNECT WITH PAUL ONLINE Website: https://paulthagard.com/ QUOTES [00:13:55] "The thing about the brain is it's not like a normal computer. We just make one inference at a time. We do this, this, this, this. What the brain does is make these inferences in parallel. " [00:16:40] "That's one of the problems. But there's problems about the past, too. We can always remember how we acted before. We don't always remember what was successful or what wasn't. We often don't learn from our mistakes. So, the past is problematic as well." [00:22:56] "I thought it would be fun to keep track of ways in which people screw up, but it is just a way of putting it in a more amusing form." HIGHLIGHTS FROM THE SHOW [00:01:35] Guest introduction [00:02:34] We learn about Paul’s younger years [00:03:01] When you were in high school, what did you think your future would look like? [00:03:50] What kind of philosophy did you start getting into as a 15 year old? [00:04:36] What is the philosophy of science? [00:05:21] How Paul got into cognitive science [00:06:18] What is the difference between a mind a brain? [00:07:09] What’s the difference between perception and inference? [00:08:32] How is it possible for the brain to discern that what it's looking at is the one objectively true reality if all we have is our perception of it? [00:09:47] A rundown of the systems in our brain that make emotions possible [00:11:26] How does the brain perceive the body? [00:12:52] How does the brain make decisions? [00:14:58] Why do we get stuck in this analysis paralysis? [00:17:24] Why is it that we don't learn from our past as well as we should? [00:19:44] Why does the brain have trouble conceptualizing probabilities? [00:21:26] Can we “tame” our emotional reactions? [00:24:22] Why is life worth living and what is the meaning of it all? [00:28:14] A question about problem solving [00:30:05] The three aspects of the concept of intelligence. [00:33:59] The kinds of intelligence that contribute to human intelligence. [00:35:17] Growing and developing emotional intelligence [00:37:47] Marvin Minsky and 1978 [00:40:07] The intelligence of recommender systems [00:41:47] How AI falls short of human intelligence [00:44:17] Intelligent animals [00:46:29] The ethics of artificial intelligence [00:51:06] Which AI ethics principle do you think is going to be of most concern to society? [00:53:25] How can we instill human values into AI systems? [00:56:17] It’s 100 years in the future, what do you want to be remembered for? [00:57:26] The Random RoundSpecial Guest: Paul Thagard.

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Connect with Ayodele LinkedIn: https://www.linkedin.com/in/ayodeleodubela/ Twitter: https://twitter.com/DataSciBae Check out her course on LinkedIn Learning: https://www.linkedin.com/learning/supervised-learning-essential-training/supervised-machine-learning-and-the-technology-boom [00:00:52] To specialize, or to generalize? [00:05:04] What is the specific skill that you decided double down on? [00:07:12] Talking about combining skills [00:09:56] At the end of the day most data scientists are end users of Data [00:10:32] The challenges of implementing a data strategy [00:12:29] What does Data storytelling mean? [00:13:46] The pains of data strategy [00:17:24] The different flavors of data scientists [00:22:28] What does a research data scientist do? [00:24:45] Is MLOps a good direction to go if you’re not the best coder out there? [00:29:13] Wait, hold on a second what is MLOps anyway? [00:32:29] What's the biggest challenge you've come across during your whole career in data? What are the little hacks you've learned along the way? [00:42:26] What were the hang ups that that you came across, where you felt like if you tackle this early on would have made your life easier? [00:52:00] How do you deal with proving yourself once you're in a new company? [01:01:46] From insights to implementation [01:06:10] Conveying business from your projects