The Artists of Data Science

Visit Tiffany Shlain's link here: https://www.tiffanyshlain.com https://www.instagram.com/tiffanyshlain MEMORABLE QUOTES FROM THE EPISODE: "[00:16:16] "...we never give our brain this what I think is the most magical space for the brain, which is to daydream and to just think on its own." "[00:07:25] "...I think that the wisdom around the day of rest is that you need to separate work and rest. And the interesting thing about technology is that it blurred every boundary. You could work from the beach, you could work from your bedroom, you could work from anywhere, which, of course, you know, has had its benefits." "[00:40:59] "...I think that the more women that are funding projects, the more women that are leading and the more women that are creating environments. So women can be mothers and in the workforce, the better. But I feel very hopeful." HIGHLIGHTS OF THE SHOW: [00:00:29] GUEST INTRODUCTION [00:02:46] What is the story behind your hat and red lipstick? [00:05:05] What is the Shabbat? [00:13:39] Why is it that having this day of rest allows the human mind to do this big picture thinking that allows us to drive our culture and our civilization forward? [00:27:46] How are algorithms manipulating our animal instincts? [00:36:57] How are their algorithms impacting that development and refinement of these muscles in ourselves? [00:40:28] How can we make sure that this current generation of women in tech don't go through those same struggles? [00:43:55] RANDOM ROUND [00:43:59] What is your favorite song to play on the ukulele? [00:44:18] When do you think the first video to hit one trillion views on YouTube will happen? And what will that video be about? [00:45:00] Do we have to achieve something in order to be worth something? [00:45:29] What are you currently reading? [00:46:19] What's something you learned in the last week? [00:47:03] Who was your favorite teacher and why? [00:47:32] What dumb accomplishment are you most proud of? [00:48:03] What is your favorite city?

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Checkout Jeffery Li's episode here: https://theartistsofdatascience.fireside.fm/jeff-li 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

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Checkout Jonathan Tesser's episode here: https://theartistsofdatascience.fireside.fm/jonathan-tesser 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

MEMORABLE QUOTES [00:11:51] “..and then once you kind of clearly define exactly the outcome that you’re aiming for, it makes it a little bit easier to start breaking it down into chunks.” [00:28:51] “ There are so many things that are outside of control. Just don’t even worry about those but focus on the things you can control.” [00:38:28] “…having too much of it can be crippling but having a little bit can actually motivate you and push you to continue to grow your skillset which, ultimately, is beneficial to you and everybody around you.” [00:40:15] “Fear is a powerful emotion. If you can wrestle it and have it push you from behind rather than block you, you learn whatever it is you’ve got to learn and improve and grow.“ [00:54:45] “As you provide more value and you’re reliable and you are providing good work, your influence will gradually grow.” [01:02:12] “ I guess I’d want to be remembered for somebody who took on very difficult ambitious challenges where I knew that I had little possibility of succeeding but I still did it anyway.” HIGHLIGHTS FROM THE SHOW [00:00:51] Guest introduction. [00:02:54] Can you tell us a little bit about where you grew up and what it was like there? [00:03:42] When you were in high school, what did you think your future would look like? [00:04:43] What was the journey like from there to now? [00:06:39] What were some of the resources you used to help you figure out how to become a better learner? [00:08:37] Can you define what deliberate practice means? [00:10:18] How do we apply the concept? [00:15:23] How would you define a mental model? [00:18:44] Which mental model would you say has had the biggest impact on the way you see the world? [00:21:27] What does the problem-centric approach mean? [00:25:47] Jeff talks about his secrets to getting multiple job offers. [00:28:51] Did you ever feel emotionally invested in one given prospect? [00:31:19] What would you say to someone scared of applying to job descriptions that look like they want the abilities of an entire team? [00:33:51] What was common among all these interviews that you went for? [00:36:21] What other nuanced things do you think a data scientist should really understand from school? [00:37:52] What is your relationship with imposter syndrome like? [00:40:15] Any words of encouragement for people trying to come back from an imposter syndrome? [00:41:49] Talk to us about the importance of having a portfolio project. [00:44:19] What are some of the biggest journalistic mistakes you’ve seen? [00:45:21] Can you tell me how you would answer the “Tell me about yourself” question in an interview? [00:47:20] If somebody wanted to a project using data from Spotify, what do you think would be a good project idea? [00:49:20] How do you use deep learning to help you find dates here? [00:51:21] What are some non-obvious skills that Data Scientists are missing that you think they should go and pick up? [00:52:45] Do you keep a journal or anything like that? [00:54:15] What tips can you share with data scientists for developing their leadership &influence skills? [00:58:52] What are some harsh truths about being a data scientist that you want to leave our audience with? [01:00:57] It’s 100 years in the future, what do you want to be remembered for? [01:03:13] The Random Round.

Bright Data is a leading publicly available web data platform that enables organizations of all sizes to access data on the internet with complete transparency Learn more about Bright Data here: https://brightdata.com/ Learn about the company DNA here: https://brightdata.com/dna Follow Or on LinkedIn: https://www.linkedin.com/in/orlenchner/ Or on Twiter: https://twitter.com/orlench Get FREE sample datasets here: https://brightdata.com/products/data-sets [00:01:28] Guest Introduction [00:03:39] Talk to us about some of the wave you had to surf you had on the ride to here. [00:06:00] What's the importance that surfing has had in your life? [00:12:19] "You don't need to reinvent everything from scratch" [00:12:55] How do you develop this elusive skill of product? [00:18:42] How do you define publicly available data? [00:27:59] What are some some ways that Bright Data help get transparent view of the web? [00:30:44] What is alternative data? [00:33:58] How do you handle situations where people come and want to use data for some sketchy or shady things? [00:38:41] Are there any major shifts or trends in data collection? [00:41:07] Do you have any other success story just like with the HTI organization? [00:42:17] Where can people go to apply for the roles in Bright Data? [00:49:29] How can the benefits of open data be communicated to new audiences so that government data can be combined with Important privately owned data? [00:53:31] Would you think it would it would ever happen would ever be the case that we have something similar to GDPR? [00:54:00] Random Round [00:54:55] What do you want to be remembered for? [00:55:31] When do you think the first video to hit one trillion views on YouTube will happen? And what will that video be about? [00:56:27] So what's your favorite question to ask a candidate during a job interview and why? [00:57:42] In the data collection process and most of it is manually entered, the quality and consistency of this Data is poor. What are your thoughts? How can we improve this? [01:00:05] Strategic thinking, the teacher planning, strategic learning, which is most important for you and why? [01:01:36] What are you currently reading? [01:03:43] What's the story behind one of your scars? [01:04:04] What issue will you always speak your mind about? [01:04:26] Best piece of advice you've ever received? datascience #machinelearning #ai #data #analytics #dataanalytics #mlops #artificialintelligence community #mindset #philosophy #success https://www.instagram.com/theartistsofdatascience/ https://facebook.com/TheArtistsOfDataScience 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

Find David Benjamin online: Twitter: https://twitter.com/complexitydb Linkedin: https://www.linkedin.com/in/davidbenjaminsyntegrity/ Memorable Quotes from the episode: [00:14:17] "Every time you hit something complex, it's new, it's different. There is no playbook, there is no checklist. And really what you have to do is get all the right people involved in sort of sharing what they see. No believe, understand, get them buying into the right way to to move forward. And the last thing I'll say is, you know, the right way to move forward when it's complex is to try things." [00:17:41] "...you start to see that really the key to dealing with complexity is to get people get their fingerprints all over the solution, get their fingerprints all over the strategy. And I can't imagine a situation where doing Data strategy is only complicated because, again, the market, the business you're in, the people who work there, you know, it's going to be different every time. And of course, are you going on and on." Highlights of the show: [00:01:29] Guest Introduction [00:02:53] Where did you grow up and what was it like there? [00:03:31] What did you imagine your future would be like? [00:05:07] What types of things were you doing that then eventually led to to this being the thing that you chose to pursue? [00:06:22] What does it mean to be a systems thinker? [00:12:36] What's your favorite example of a problem that on the surface looks like it fits the description of complicated, but as you start to dig a little bit deeper, it turns out that it's actually complex. [00:14:07] How is the problem solving process different for a complicated versus a complex problem? [00:17:38] The nature of complexity. [00:19:39] How do we best deal with that? How do we best deal with something we've never dealt with before without knowing what's going to work and what's not going to work? [00:24:40] What is DIKW model? [00:32:53] Letting go is a huge part of good leadership. [00:37:57] What are some questions that we can ask ourselves so that we can find a way forward in these types of situations? [00:39:57] Can we inject requisite variety into our world in different ways? [00:48:00] What's the number one book of Stafford Lehr that myself and the audience would really benefit from his thoughts? [00:48:55] What's the difference between constructing a good question and asking a question? [00:51:39] What are rules of queueing as you've discussed in your book? [00:53:18] How do faulty assumptions make us ask bad questions? [00:55:33] Why is it that when we are having these face to face types of interactions and discussions that we're able to create complexity? [00:57:27] Does that have an effect on anything when we're working together? [00:59:31] Is cracking complexity, an art or a science? [01:01:33] How do we create serendipity when we're working on complex problems and maybe when we're working isolated from people? [01:04:34] RANDON ROUND [01:04:49] It's one hundred years in the future. What do you want to be remembered for? [01:08:23] What do most people think within the first few seconds when they meet you for the first time? [01:09:09] Do you think you have to achieve something in order to be worth something? [01:09:59] What are you currently reading? [01:11:39] What song do you have on repeat? [01:12:28] What's the story behind one of your scars? [01:13:02] What is one of the greatest values that guides your life? [01:13:45] If you could have any superpower, what would it be and why?

Vote in the data community content creators awards! http://bit.ly/data-creators-awards Checkout Jonathan Tesser's episode here: https://theartistsofdatascience.fireside.fm/jonathan-tesser 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