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The Artists of Data Science

Author: Harpreet Sahota

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In his book, "Linchpin", Seth Godin says that "Artists are people with a genius for finding a new answer, a new connection, or a new way of getting things done."
Does that sound like you?
If so, welcome to The Artists of Data Science podcast! The ONLY self-development podcast for data scientists.
You're here because you want to develop, grow, and flourish.
How will this podcast help you do that?
Simple.
By sharing advice on how to :
- Develop in your professional life by getting you advice from the best and brightest leaders in tech
- Grow in your personal life by talking to the leading experts on personal development
- Stay informed on the latest happenings in the industry
- Understand how data science affects the world around us, the good and the bad
- Appreciate the implications of ethics in our field by speaking with philosophers and ethicists
The purpose of this podcast is clear: to make you a well-rounded data scientist. To transform you from aspirant to practitioner to leader. A data scientist that thinks beyond the technicalities of data, and understands the impact you play in our modern world.
Are you up for that? Is that what you want to become?
If so, hit play on any episode and let's turn you into an Artist of Data Science!
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Prachi is a diversity researcher and trainer in Tourism & Hospitality. She's got three years of interacting, collecting and documenting solo female traveller's experiences, her efforts in training are streamlined towards making travel industry more inclusive. We have a great conversation covering topics ranging from how to connect and network with people on LinkedIn, the importance of not being weird in your communications, what it's like traveling as a solo female in India, and the diversity in a huge country like India. Special Guest: Prachi Thakur.
The best Comet Office Hour Session to date! Wow - we're picking up steam on Sundays. Be sure to tune into this one, some great conversation and discussions. 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-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job [00:01:40] How to gain skill in data science [00:07:39] Where can we find data for a project? [00:09:44] Data science project ideas using open data [00:12:59] Sharing code with potential hiring managers and using good frameworks for projects [00:17:01] Do tiny projects to gain skill [00:19:16] A community member shares her experience learning data science while coming from a non-technical background [00:26:11] How do I do “research and stuff”? [00:31:43] Why you need to ask questions and not just go off and do things [00:35:27] Docker, Kubernetes, and Clouds…oh my! What does this have to do with data science? (I provide several non-satisfactory explanations) [00:45:06] What do I need to study?! [00:52:31] Networking [00:53:52] Resume review [01:05:50] What tools do I need to know for data science?
We kick this happy hour with the question - "Why'd you get into data science?" There's literally any number of jobs that we could have chosen to take on, what was it about data science that got you excited? We also chat about the data science maturity models, time management, and more! 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-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job
Eleanor comes on the show to help us reframe how losing your job could be the best thing that ever happened to you. She’s got 23 years of corporate experience working for brands like Costa, RAC, Virgin Atlantic, Vodafone, in functions ranging from sales, to leadership development and corporate communications. CONNECT WITH ELEANOR ONLINE LinkedIn: https://www.linkedin.com/in/eleanor-tweddell Website: https://www.anotherdoor.co.uk/ QUOTES [00:13:04] "What will be, will be. That's all you can do. All you can do is the best thing. And one of the turning points for me was not to attach to outcomes." [00:17:49] "Don't get too hung up about if this is the right career move, if things aren't quite working in your way, play with things." HIGHLIGHTS FROM THE SHOW [00:01:51] Guest introduction [00:02:58] We learn about Eleanor and where’s from [00:05:19] How different is your life now than what you had imagined it would be? [00:06:01] Why Eleanor wrote a book about why losing your job can be the best thing that ever happened to you [00:07:34] What tips can you share with the audience to help manage that initial shock of losing their job and not spiral downwards into despair? [00:12:04] How to handle the stress of anticipation when you’re waiting to hear back from a job offer [00:14:28] Control what you can during the job search process, ignore the rest [00:17:08] How to move from being stunned into inaction and start taking action [00:19:45] It’s OK to wallow, here’s how to do it productively [00:21:50] Flip your mind! [00:24:16] You’re gonna say GOOD [00:26:49] Why is it good to get out of the comfort zone and into this space that you talk about in your book called The Stretch Zone and the Stress Zone? [00:29:47] How to move past the paralysis of having so much to do [00:32:09] Start with WHY [00:35:21] Decide-o-phobia [00:36:39] Create a plan to be unstuck [00:40:43] How to answer the “Tell me about yourself” question [00:43:37] The dream job matrix [00:46:33] How to talk about why you’re making a career transition [00:48:39] What are some key elements of a good LinkedIn profile? [00:53:19] What's the LinkedIn dilemma? [00:57:06] The mindset that we need to thrive. [01:00:59] It’s 100 years in the future, what do you want to be remembered for? [01:02:17] The Random Round Special Guest: Eleanor Tweddell.
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-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job
We kick this happy hour with the question - "Why'd you get into data science?" There's literally any number of jobs that we could have chosen to take on, what was it about data science that got you excited? We also chat about the data science maturity models, time management, and more! 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-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job Special Guests: Greg Coquillo and Vin Vashishta.
Kevin is a game theorist, philosopher, and author who studies the evolution of language and the mathematics of social behavior. In this episode, we have an entertaining and engaging conversation about game theory. CONNECT WITH KEVIN ONLINE LinkedIn: https://www.linkedin.com/in/kevinzollman/ Twitter: https://twitter.com/KevinZollman QUOTES [00:14:56] "The idea here is that when we have situations where we can cooperate for mutual benefit, that is if we all wear masks, we're cooperating, we're helping one another. " [00:17:23] "For a game to be a zero sum game, it needs to be that if one person wins, someone else loses." [00:26:47] "One of the things game theorists know is: it's important to make it smaller rather than bigger. Because the bigger it is, the more the easier it is to sneak under the radar and cheat. And you want to create opportunity for accountability [00:32:40] "Talking to one another is another example of a game. Especially when we're worried about circumstances where we might have an incentive to be dishonest or at least not fully honest." [00:49:36] "Game theory always says you have to think about what it is the other person doing, and what are their incentives, and what are they thinking about. Because if you misunderstand what they're doing because you think that they have a different set of incentives, then you can make mistakes." [00:59:27] "What game theory helps you to do is: it helps to ask what are the things you need to think about?" [01:02:43] "A game theorist would say the first thing you've got to do, is figure out what they value. Because you can't make any predictions about what they're going to do until you know what they want." HIGHLIGHTS FROM THE SHOW [00:02:50] We learn about Kevin’s background [00:05:05] What Kevin thought his future would be like [00:06:22] We talk about Kevin’s background in programming [00:07:18] How programming makes its way into the research and work he currently does [00:09:14] What is a game and why do we need theories about them anyways? [00:11:13] Is game theory evil? [00:12:42] Game theory in poker [00:14:00] The game theory of wearing masks in a pandemic [00:17:13] Is wearing a mask a zero sum game? [00:18:31] What is the prisoner’s dilemma [00:23:37] Repeated prisoner’s dilemma [00:25:01] Prisoner’s dilemma and engagement pods on social media [00:27:51] Pulling the grim trigger [00:29:23] Is game theory unique to humans? [00:32:15] How is game theory applied to language? [00:34:45] Do you have to know you’re in a game to be playing a game? [00:36:48] What is a Nash equilibrium? [00:40:44] What does fairness mean to a game theorist? [00:44:30] What can a game theory teach us about our own sense of fairness and morality and equality? [00:45:10] The ultimatum game [00:47:50] “You don’t play the hand, you play the man across from you.” [00:51:11] Is losing ever a winning strategy? [00:52:55] How can we use everything we've just been talking about to negotiate better job offers? [00:55:55] A hot topic of discussion in both of our households [01:01:56] Can multiple people be playing the exact same game but have different rewards? [01:03:28] A Game Theorist Guide for Parenting [01:05:36] It’s 100 years in the future, what do you want to be remembered for? [01:07:05] The Random Round Special Guest: Kevin Zollman.
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
This happy hour session was a heavy discussion. It's sad that we need to talk about this in this day in age, but it's only gonna get better if we raise awareness and have the courage to participate and share these discussions. 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-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job Special Guests: Greg Coquillo, Mikiko Bazeley, and Vin Vashishta.
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 Round Special 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: HARPREETISTHE_MAN 50% OFF OF COURSES FROM KATE: https://datacated.com, CODE: HARPREETISTHE_MAN 50% OFF OF COURSES FROM GEORGE FIRICAN: https://www.lightsondata.com/, CODE: HARPREETISTHE_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: HARPREETISTHE_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-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job Special 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 Round Special 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-pFwty92wJoWzoO7WlfaM7iYB8qjm 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 Round Special 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-pFwty92wJoWzoO7WlfaM7iYB8qjm Special 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 Round Special 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
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 If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70 Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm [00:03:27] What are examples of times when you think that Data is not an appropriate solution to the problem? [00:05:08] If one is trying to force Data to solve a business problem where it doesn't belong, then that is not a great approach for any problem solving. [00:08:53] Data itself shouldn't lead to anything. [00:16:35] A question around end-to-end data projects, specifically how to approach planning one. [00:19:28] Thom Ives shares how to think through a project pipeline [00:23:39] Ben Taylor talks about how to approach a project [00:24:47] A corporate perspective for planning a project [00:28:36] Antonio with a mic drop [00:30:57] Which LinkedIn post would become an NFT in the future? [00:37:03] What is the biggest pain points in your process, that if you alleviate with a magic wand, would make your life soooo much easier? [00:38:37] Ben Taylor chimes in with some insight to this question [00:41:59] Antonio: I think this is all communication. Honestly, ninety five percent of the problems I see are related to the communication rather than technology [00:47:41] The importance of MLOps and documentation [00:51:38] As a manager for one silo, you are not understanding the other silo and therefore you're not able to communicate through language barriers. [00:53:07] Even if I know the answer, I'll still ask those questions so that I can benefit, or maybe somebody else can benefit from it. [00:56:18] Thom has a conspiracy theory about David Langer [00:56:51] What do you think is the next wave in data science? [01:04:52] Data Science is such a broad field, and I don’t know If I am I technical enough [01:06:13] Santona: I think technical ability is so vague and broad and very context specific [01:09:01] Mikiko shares some awesome advice [01:12:22] Greg: And what I can tell you is if you focus on gaining industry knowledge, you will be so comfortable with tackling what needs to be done from the technical side to solve these business problems. So the more business savvy you are, the better you can communicate with business folks, identify their problems, then you can work backwards to figure out you need technical skills that you need to solve them. [01:13:25] Specialize or generalize? [01:15:05] What are the things that school can't teach you? Special Guests: Kate Strachnyi, Kurtis Pykes, Mikiko Bazeley, and Santona Tuli, PhD.
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Comments (2)

sarvenaz td

Amazing episode! Really motivational. Thank you.

Feb 8th
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