The Artists of Data Science

Checkout the episode recap here: https://www.comet.ml/site/comet-office-hours-recap-for-may-23rd-and-may-30th/ 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 Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for Friday Happy Hour sessions: http://bit.ly/adsoh 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 [00:01:03] Harpreet talks about how his entire life is recorded [00:03:54] Zoom fatigue is a thing [00:06:26] A community member talks about a cool project they worked on [00:08:50] You don’t need to do everything you know how to do in a project [00:10:00] How to be a better writer [00:17:04] Write for you a year ago [00:21:02] We talk about the relative importance of data science certificates [00:25:01] Be in motion [00:29:55] Networking is important [00:34:00] It doesn’t matter which bootcamp you enroll in [00:41:32] Which data visualization tool should I use? [00:51:59] John David of the How to Get an Analytics Job Podcast stops by the show [00:58:29] How important is graduate education to becoming a data scientist?

Get 70% off of Data Science Dream Job today! http://dsdj.co/artists70 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 [00:00:09] We open with the question: What’s a belief you had at the beginning of your data career that, looking back on now, realize was probably false? [00:13:33] What’s an underserved topic in data science content? [00:24:13] What are some good resources for MLOps? (Shout out to my friends at Comet ML) [00:31:49] How to have those hard conversations with stakeholders when projects fail? [00:36:33] MLOps again [00:42:15] Interview strategies [00:51:36] Nasdaq’s stack overflow [00:59:08] Does anyone else have suggestions for how to be more productive? [01:01:40] Leveling up in your career [01:10:01] Lots of book recommendations

Dave is a possibilitarian who believes that anything is possible. And if he thinks something that he wants is impossible, he will devise an experiment to test that assumption. FIND DAVE ONLINE Twitter: https://twitter.com/davegray QUOTES [00:04:09] "I think one of the things that surprised me the most is that I was able to somehow find a way through creativity to be financially successful. Which I never somehow never really expected." [00:07:09] "People tend to use the word creative as a way to describe a kind of a personality trait. Oh, I'm creative. She's creative. He's creative. That's a creative person. And I think there's a lot of connotations that go with that creative meaning...But when you think about what the word creation means, to create something is to bring something new into the world...So creation is the process by which we bring new things into the world that weren't there before. And I think everyone has the potential within them to do that in different ways. " [00:13:21] "Well, reality is unknowable, right? In some way, we all have different experiences of reality. Each one of us has a unique set of experiences, but none of us can know all all of reality." [00:21:30] "Liminal thinking is being cultivating a mindset where you can find those thresholds, stand on those thresholds between one thing and another." HIGHLIGHTS FROM THE SHOW [00:01:36] Guest introduction [00:02:54] We learn about Dave’s background [00:03:57] How different is life now than what you had imagined it would be? [00:04:46] What was your journey like to now? [00:05:30] Was there a particular experience that helped you develop this philosophy around creativity? [00:06:53] How would you define creativity and how can somebody who doesn't see themselves as a creative individual tap into the creativity that they have naturally? [00:08:38] How to “connect the dots” [00:09:39] What do you think is the difference between science and art? [00:11:43] So in science, we kind of have like that the scientific method. Do you think there's a method to creativity? Can creativity be systematized? [00:12:44] What is a belief and how is a belief different from reality? [00:16:12] Can we make sense of the world without beliefs? [00:19:43] What is liminal thinking? [00:23:46] How do we create beliefs? [00:30:36] What are some pitfalls of mistaking belief for reality that you've seen play out organizations? [00:35:10] Self-sealing logic [00:39:58] The pyramid of beliefs [00:42:53] The loopiness of your belief system [00:46:07] Should we test to falsify our beliefs? [00:51:43] Johari Window [00:53:50] Check your cognitive blind spots [00:55:26] Try on different beliefs [00:57:13] How can we use storytelling to understand people's beliefs? [01:00:39] How can we use stories to help persuade people to buy into our ideas? [01:04:21] How can we make sure that we're not asking questions in such a way that we're almost setting up the response to get an answer that will conform to what we want to hear? [01:08:03] It is one hundred years in the future: What do you want to be remembered for? [01:08:23] The Random RoundSpecial Guest: Dave Gray.

Checkout the episode recap here: https://www.comet.ml/site/comet-office-hours-recap-for-may-23rd-and-may-30th/ 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 Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for Friday Happy Hour sessions: http://bit.ly/adsoh 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 [00:01:08] How to deal with the confusion you face while learning new things [00:04:09] Dealing with failed data science projects [00:06:58] How do you go about making sure you collect the right kind of data in the first place? [00:09:29] Start with three questions [00:11:59] The balance between learning technical stuff and learning how to solve actual problems [00:15:28] How are you overcoming learning struggles? [00:18:07] Learning vs doing [00:21:58] When the data doesn’t support much predictive power [00:28:04] Everyone will become a data scientist, eventually [00:30:38] The importance of domain knowledge [00:35:03] Define failure up front [00:37:56] Is low code the end of data science as we know it? [00:42:19] Reproducibility [00:48:25] Adam with some controversy [01:02:36] How do you do personal inventory on your skills?

My friend Vivianne takes over for my while I celebrate my wife's birthday - Happy Birthday Romie! 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 [00:00:55] Barack Obama believes in UFOs [00:06:06] How do you guys structure your week? [00:08:20] 70% is ready enough [00:13:36] At the start of your career, it’s 80/20…as you move along, it’s 50/50 [00:15:23] What does career growth look like – is moving into a strategic role the only way up? [00:15:48] What career growth looks like at Verizon [00:17:59] What’s the career path look like for people who want to stick to technical work but still move up? [00:19:28] Vin talks about some awesome work experiences he had [00:21:22] Using your hands versus using your brain [00:27:06] Do I have to quit what I love doing to get paid more? [00:28:27] How do we define impact for business and does growth have to be tied to business impact itself? [00:31:33] Vin on why companies need intelligent compensation packages [00:34:09] Greg on prioritization and the decision matrix [00:37:04] Some great dialog on company culture and it’s impact on innovation [00:41:27] What are all these titles about “Staff Data Scientist”, “Principal Data Scientist”, “Distinguished Data Scientist” all about? [00:43:50] The reality of what it's like to be one of these people with an inflated title. [00:45:06] Would you say that companies are sometimes reluctant to give that title to people? [00:46:16] The highest paid data scientist that Vin has seen [00:46:53] Could it be that it is the domain that dictates that kind of range? [00:47:34] Can you pick up the culture of a company from a job description? [00:50:15] People culture vs technical culture [00:56:18] Vacation policies [00:57:38] Inspect the failure culture of an organizationSpecial Guests: Greg Coquillo and Vin Vashishta.

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 Vote in the data community content creators awards! http://bit.ly/data-creators-awards Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Check it out and don't forget to register for Friday Happy Hour sessions: http://bit.ly/adsoh 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 [00:00:50] Say hello to Austin, Comet’s new Head of Community! [00:03:03] How do you make learning fun? [00:09:20] Learning as a six-step process [00:16:42] We talk about the enigmatic Denis Rothman [00:18:17] The importance of keyboard shortcuts [00:27:46] How to handle requests to speak at events [00:40:28] We start talking about information theory somehow [00:45:08] How to become a better teacher [00:52:19] Don’t have too many tabs open in your brain!

Chase is the Lead Data Analyst for Impact Theory, where he advises and makes data driven decisions for Tom Bilyeu, Impact Theory Comics, Women of Impact, and the Health Theory channels and shows FIND CHASE ONLINE Instagram: https://www.instagram.com/chaycap LinkedIn: https://www.linkedin.com/in/chasecaprio/ HIGHLIGHTS FROM THE SHOW [00:02:45] We learn a bit about Chase’s background [00:04:09] What did you think your future would look like? [00:08:17] How Chase cultivated his mindset [00:10:32] How Chase got into the data and analytics world [00:12:36] What Chase’s day-to-day is like [00:16:00] Some metrics that Chase is interested in when analyzing data [00:18:24] What is an intrapreneur? [00:21:20] The Impact Theory Belief System [00:24:03] Which aspect of human cognition do you find to be the most fascinating? [00:26:39] Fight the lizard brain [00:29:06] Exercising emotional intelligence [00:32:50] The dot collector system [00:36:16] Handling imposter syndrome [00:40:18] What's the growth mindset mean to you? [00:42:49] In what ways do you think the growth mindset has changed your life and your relationship with yourself? [00:44:58] What is the false growth mindset? [00:46:14] How can we clearly identify our goals so that we know where to begin our journey? [00:47:50] Once we gain clarity on what it is that we truly want, how can we start taking the first steps to get there? [00:48:58] The Dip [00:51:57] Chase talks about his interest in philosophy [00:54:23] Do shit that’s difficult, everyday. [00:57:38] It's one hundred years in the future, what do you want to be remembered for? [00:59:01] The Random RoundSpecial Guest: Chase Caprio.

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 Highlights from this episode [00:02:30] Vin tells us about his crazy week [00:03:40] How do you best prioritize things you're working on? [00:18:00] Cryptocurrencies, Elon Musk, and investing [00:26:34] Do different strategies, along with the sentiments that are playing around, affect how a certain crypto value is going to scale from time to time? [00:31:41] What are some things that you would do to set yourself up for success when moving to an engineering team for the first time in your career? [00:35:31] How to communicate with engineers [00:39:37] Focus on delivering something right away that's going to show your value, even if it's just something small that you think you can do in a week. [00:42:02] Learning new tools is the easiest part. Forging new relationships, managing these relationships, and maintaining them…that's what you want to focus on [00:44:11] Should data scientist act with more logic than emotion? What is that balance between logic and emotion? [00:53:19] Statistics is not actually a super hard science. [00:55:18] You have to understand that there's a lot of people that are like me that don't have natural empathy [01:01:55] Jennifer shares some great news! [01:03:44] Learning JavaSpecial Guests: Greg Coquillo, Mikiko Bazeley, Santona Tuli, PhD, and Vin Vashishta.

Denis is an expert in explainable AI (XAI) and today he’s here to talk to us about how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias, and ethics issues - among many, many other things. FIND DENIS ONLINE LinkedIn: https://www.linkedin.com/in/denis-rothman-0b034043/ Website: http://www.eco-ai-horizons.com/ HIGHLIGHTS FROM THE SHOW [00:01:32] Guest introduction [00:02:49] Tell us a little bit about where you grew up and what was it like there? your map behind you. When I was 15, I was thinking, I want to discover the world. [00:07:08] How important do you think it is for data scientists and machine learning practitioners focus solely entirely on just math and data science, but to expose themselves to a number of different topics? [00:09:27] Where are your ideas? Where's the blueprints? What are you creating? [00:10:30] Why Denis got into artificial intelligence [00:14:06] Denis talks about his fascination with world religions and how it led to his pursuit of the truth [00:17:01] Denis has been in the game since 1978, he’s what he’s seen change and remain the same since then [00:19:28] Where Denis thinks the field is headed in the near future – but not before he tells us why he’s always scribbling math formulas all over his books [00:23:09] Denis’ problem solving triangle [00:26:08] What’s the scariest application of AI going to be? [00:33:40] What the pre-Google era was like, for all you youngins [00:35:04] The individual must be shaped, he must be made to react, in the way that our culture wants him to [00:38:57] We start going off on some interesting tangents [00:40:46] How do we ensure that we are building systems that are ethical? [00:55:31] How do you view data science machine learning? An art or purely a hard science? [00:59:12] It is s one hundred years in the future - what do you want to be remembered for? [01:02:03] The Random RoundSpecial Guest: Denis Rothamn.

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 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