The Artists of Data Science

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Checkout Purdeep Sangha's episode here: https://theartistsofdatascience.fireside.fm/purdeep-sangha 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 YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook: https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData

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 The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Visit Dennis Will's link: https://www.linkedin.com/in/dennis-will-226407168/ Video of the episode: https://youtu.be/FvimZnYhzK0 MEMORABLE QUOTES FROM THE EPISODE [00:07:10] "I think Python is actually a very good language to get into even as your first language, but you still should be open to what the language offers and what it's offered beyond Python. So I think C is a good starting point, but I think it might actually turn off a lot of people because it is very inherently difficult. Like a lot of concepts that seem like like the way pointers work, that's something that you don't even have to deal with in Python if you don't want to." [00:12:00] "...usually companies don't want to spend that much money. So that's why you have to think up a solution that is very efficient, very memory efficient and in the end also gets the job done." [00:13:24] "You have one big cluster which has several workers, and this allows you to process data in parallel. And what I don't like is that it is a very useful to know, but most in most cases, you don't need that. It's very expensive. It's only for a very huge data sets and companies like to use for every single thing. So a lot of the things you can actually do with other services like like serverless functions that are a good example." [00:25:51] "A very good example that in the previous years has grown and a lot of companies say, we want to do machine learning, we want to do data science, but they don't even know what that means. That's why I think that it's going to get more important because for data science to be able to work properly, you need a good architecture to Data in the right place. And I think only going to get bigger from here." HIGHLIGHTS OF THE SHOW [00:00:55] Guest Introduction [00:02:44] Talk to us about where you grew up and what was it like there? [00:04:34] What's your comments on Art and Museums in Berlin? [00:05:11] In high school, what did you think your future would look like? [00:06:10] What was the language of choice back then? [00:07:06] Do you think C would be the way to go? [00:08:10] How did you get interested in Data engineering? [00:09:32] What are a couple of concepts, maybe two to three concepts that you think would be extremely beneficial for a data scientist to learn about data science so that we can help make each other's lives easier? [00:12:35] Do you use any frameworks or packages to help you with data engineering? Does anything like that exist that we should probably know about or I? [00:14:24] There's always new stuff popping up, and you always have to try to keep up on stuff. How do you manage that? New tech comes out that you either hear or read about. What's your process for determining? Is this something I should spend my time? [00:17:05] How did you find yourself getting into Azure? [00:18:47] How important do you think being resourceful has been in your career? [00:20:04] Difference between a Data architect and a Data engineer. So how are these two roles similar? How are they different? [00:23:24] What are some of the things that you would ask your client so that you can figure out what it is that you need to go do? [00:27:20] What aspiring Data engineers can do now to help prepare themselves for the future? [00:30:13] What are some of your favorite misconceptions about what it is that a Data engineer does? [00:31:30] What can a Data scientists do to make the lives of their Data engineering colleagues easier? [00:33:09] Do you have any words of encouragement or advice to share with anyone who's afraid to ask questions because they don't want to look stupid? [00:44:15] Do you have any tips or any ideas on how to work on a Data Engineering project? [00:46:30] What are some tips you can leave with our audience on how we can be more valuable in our jobs? [00:48:06] It's 100 years in the future. What do you want to be remembered for? [00:49:58] Random Round [00:50:02] When do you think the first video to hit one trillion views on YouTube will happen? And what will that video be about? [00:53:20] What are you currently reading? [00:54:30] What song do you currently have on repeat? [00:55:48] What incredibly strong opinion do you have that is completely unimportant in the grand scheme of things? [00:56:30] Do you have a signature dish that you're well known for? [00:56:47] What is one of your favorite smells? [00:57:30] What story does your family always talk about you? [00:57:45] What's one of your favorite comfort foods

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Checkout Purdeep Sangha's episode here: https://theartistsofdatascience.fireside.fm/purdeep-sangha 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 YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook: https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData

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 The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Watch the episode here: https://youtu.be/g_uP3beFcsc www.purdeepsangha.com https://www.instagram.com/purdeepsangha https://www.linkedin.com/in/purdeepsangha MEMORABLE QUOTES FROM THE EPISODE: [00:51:59] "...every decision you make requires thinking power, every conscious decision. And so the more decisions you make, the more energy you actually consume. So this is important, too, because a lot of people make decisions when they don't have the right energy and when they're not in the right state. And that impacts them as well." [00:32:34] "If you have an identity that's aligned with your goal, you will be way more likely to achieve it than if your identity wasn't aligned with your goal." [00:11:24] "I was talking to a gentleman the other day, a very successful CEO, and I was asking him about his goals. And he actually pointed out himself. He said he's not very motivated because he uses a strict logic when he sets goals. And it's very logical process for him. And so he's not excited. And I said, you know what you need to do, put some emotion behind it, because you have to be excited. You have to be driven. And this is shown from studies from Stanford that the more emotions you put behind your goals, the more likely you are to execute, the more passion you're going to be passionate, you're going to be the more consistent you're going to be, the more persistent you're going to be in achieving those goals. So there's a direct correlation between a lot of people think that goal setting is important. It definitely is. But even with goal setting, six months later, over 60 percent of the people drop those goals. And even though that they're looking at those goals every day, for example, they're just not premium enough. They're not exciting enough for them to keep going. That is the difference between an average goal and a premium goal is a premium goal will pull you through. You're not necessarily having to push yourself. You're actually drawn to it." [01:00:44] "fear is actually one of those emotions that if it's not doing you any good, you have to learn from it and understand why you're fearful. And there's definitely a reason for it. And I would say out of all the emotions, fear is one of the ones that can be your biggest teacher. That's how I to take a look of fear. And I say, OK, what about this? Why am I feeling afraid of this? What is it? What is it in me? Is it a lack of skills that I that I feel I'm lacking? So there therefore I'm feeling this fear. If I am I thinking too far in the future and my being too pessimistic, there's always something that you can learn from fear. So ask yourself that. The other thing is, understand that most of your fear, unless you're actually being held at gunpoint or you're getting robbed or is is just an illusion of your brain. And understand that. So most of our fear, it's actually not based on the present moment. Most of our fears are based on future. If we take a look at worry, it's a it's a future based fear." [00:23:19] "...systems are so fundamental because two things, it accelerates your results. But the second thing is, you know, you get to figure out what's not working for you as well." HIGHLIGHTS OF THE SHOW: [00:01:10] Guest Introduction [00:02:56] Where did you grow up and what was it like there? [00:05:17] What kind of kid were you and what did you think that your future would look like? [00:08:23] How does discipline help you focus on which goal to pursue? [00:10:10] What is a premium goal and what separates it from just like a regular core? [00:12:35] What emotion should we put behind ourselves to achieve our goals? [00:14:02] What's the trigger that we put in place in our mind? [00:21:39] What is the difference between systems and goals, or do we need systems to help us achieve goals? How's that work? [00:23:54] Talk to us about what our identity is. [00:31:11] Talk to us about the relationship between our identities and our goals. [00:35:44] What are beliefs and why are they important? [00:41:35] How do we figure out if our beliefs are empowering or disempowering, if this is all we've had our entire life? [00:47:00] What is the three step process that the brain goes through when it comes to making decisions? [00:53:55] Four hours of decision making. [00:57:57] What is fear? What's its purpose from the brain science kind of perspective? [01:00:02] Do you have any other tips to wrestle that fear so that it pushes us from behind rather than stand in front of us? [01:04:35] How can we combine our skills in such a way that we can multiply the value that we're able to create? [01:08:20] What is the meaning of life? [01:10:54] It's 100 years in the future, what do you want to be remembered for? [01:12:17] RANDOM ROUND. [01:12:20] What are you currently reading? [01:13:25] What song do you have on repeat? [01:14:41] Random Question Generator. [01:14:41] Pet peeves. [01:14:53] Would you rather be stuck on a broken ski lift or a broken elevator? [01:15:30] What are you interested in that most people haven't heard of? [01:16:11] What dumb accomplishment are you most proud of?

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Checkout Max Frenzel's episode here: https://theartistsofdatascience.fireside.fm/max-frenzel 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 YouTube: https://www.youtube.com/c/TheArtistsofDataScience Instagram: https://www.instagram.com/theartistsofdatascience/ Facebook: https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/ArtistsOfData

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 The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData

Max Frenzel links: https://maxfrenzel.com https://www.linkedin.com/in/max-frenzel-60597361/ https://maxfrenzel.com/music MEMORABLE QUOTES FROM THE EPISODE: [00:44:04] "Rest ethic is something that we need to work on and we need to cultivate knowing when it's time to make that step away and then trusting in the process that will follow and not seeing it as a waste of time. That's probably the most difficult thing about a time off, but also the most valuable once you managed to really follow through." [00:39:10] "…the brain doesn't tire like an arm and a leg all at once is variety. And I think that's really true there." [00:18:28] "...free level hierarchy where at the very bottom is rest, rest, basically always ask the question. Rest for what? And the answer is usually, well, rest to do more work. And that's OK. Sometimes you just need to rest to then be refreshed for whatever else you want to do..." HIGHLIGHTS OF THE SHOW: [00:01:20] Guest Introduction [00:03:25] Talk to us about where you grew up and what was it like there? [00:11:36] How did work create time or did time create work like chicken or egg? How did this happen? [00:17:52] What would Aristotle have to say about this, the way we're working in modern society? [00:22:42] How would they (in ancient Greece or ancient Rome) have measured their productivity if they measured it at all? [00:28:44] Talk to us about this epidemic that we have over a lot of burnout and how can we identify for ourselves if we're burning out? [00:34:20] What does rest look like? [00:37:34] What is it about rest in this way that helps us go from this feeling of just tense overwork to just suddenly just relax? [00:39:27] The idea of mental crop rotation. [00:41:17] When's the last time you were in the flow state? [00:45:34] Max's Track: Dorobo [00:46:47] How are you integrating into music or are you just like things like statistical samples of different beats that are out there and putting them together? [00:53:59] How do you define creativity in the age of the knowledge worker? [01:01:02] Do you have one of these little mini journal pads [01:01:58] What can jazz musicians teach us about how to approach our careers and our work as Data scientists? [01:06:06] "The multi dream theory" [01:09:08] Is Data Science art or is it a science or Data science machine learning an art or purely a hard science? Where does science and art begin? Are they completely separate? How do you view this? [01:11:18] How can somebody who doesn't really view themselves as a creative person actually realize that they are creative? [01:18:06] Which is the one profile that you think we as a society can learn most from, given our current state of the world. And in what way can we learn the most from it? [01:19:12] It's one hundred years in the future. What do you want to be remembered for? [01:20:46] RANDOM ROUND [01:21:00] What would you say is the most fundamental truth of physics that all humans should understand? [01:23:27] When do you think the first video to hit one trillion views on YouTube will happen? And what will it be about? [01:24:10] What do most people think within the first few seconds when they meet you for the first time? [01:24:40] Do you think you have to achieve something in order to be worth something? [01:25:20] What are you currently reading? [01:27:06] What song do you have on repeat right now. [01:28:04] What are you a natural at? [01:28:43] What's your favorite piece of clothing you own? [01:29:42] What are you interested in that most people haven't heard of?

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 The Artists of Data Science YouTube: https://www.youtube.com/c/TheArtistsofDataScience https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience https://twitter.com/ArtistsOfData