The Harpreet Podcast - Episodes Tagged with “Become”

The Book of Why | Dana Mackenzie

Harpreet Sahota — Fri, 10 Dec 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/SWSLiGmnpao

Find Dana Mackenzie online:
https://danamackenzie.com
https://scholar.google.com/citations?user=sQhKQ5cAAAAJ&hl=en

Memorable Quotes from the Episode:

[00:20:28] "At one point he realized something very fundamental and remarkable, which is if you switch the fathers and sons and you plot the sons side as the independent variable and the other side is independent variable, you get the same thing, you get the same fuzzy thing and you get the same correlation. And so correlation is something that is completely independent of causation."

Highlights of the Show:

[00:01:22] Guest Introduction.

[00:03:02] Where you grew up and what it was like there?

[00:04:23] As a kid, you loved writing, but then you ended up studying math at like the highest levels. Was that something that you foresaw happening? Were you always into math? Was it like a choice between math and writing? How did this play out?

[00:10:13] if anybody who wants to develop and flex writing muscle, do you have any tips for them on how they can develop and cultivate this skill?

[00:14:18] In view of your book "The book of Why", what is this computational cognitive faculty that humans certainly acquired that our chimpanzee cousins did not?

[00:17:28] Concept of counterfactuals.

[00:24:48] "Every statistics book says correlation is not causation. And they forget to tell you what is causation."

[00:41:55] What is the ladder of causation?

[00:48:57] "Smoking causes cancer", discuss.

[01:01:11] What is the do operator all about? What makes it so revolutionary and special?

[01:16:00] It is one hundred years in the future. What do you want to be remembered for?

[01:17:58] What are you currently reading?

[01:21:13] What song do you have on repeat?

[01:25:29] What is one of your favorite comfort food comfort foods?

[01:25:53] What have you created that you are most proud of?

[01:26:03] Who inspires you to be better?

Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh
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The Smartest Person in the Room | Christian Espinosa

Harpreet Sahota — Fri, 03 Dec 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/AAAV0wOLqQo

Find Christian Espinosa online:
https://christianespinosa.com/
https://www.linkedin.com/in/christianespinosa/

Memorable Quotes from the Episode:

[00:24:58] "...the final step is Kaizen. Kaizen is a is a Japanese word that means constant and never ending improvement with any of the six steps prior or the entire methodology. It's a journey, and you're not going to perfect it right out. The gate is taking this first step and the next step and the next step, and then making improvements as you move along. So that's the seven steps to the secure methodology."

Highlights of the Show:

[00:01:15] Guest Introduction.

[00:02:43] Where you grew up and what it was like there?

[00:05:43] Does Christian has the crazy interest to climb mountains?

[00:06:13] When you're growing up as a kid man, did you ever think that you'd be this crazy ultra marathon running Iron Man, mountain climbing cybercriminal fighting awesome individual?

[00:06:48] Where does that self rigor to be able to want to put yourself through these really challenging types of situation come from?

[00:09:19] What does it mean to be the smartest person in the room? What does that mean to you and when is it a bad thing?

[00:12:33] Is there a correlation or a relationship between the need to be the smartest person in the room and having like a fixed mindset?

[00:14:14] Who are these "paper tigers" and why are they so dangerous?

[00:19:20] How can you tell that somebody knows what their 'why' is? How do you assess for fit against a cultural fit?

[00:20:53] What is "secure methodology"? What are the seven steps involved in it?

[00:31:08] Do you think it's possible to identify whether we have a real growth mindset or a false one?

[00:33:02] Being congruent with your belief and the philosophy behind growth mindset.

[00:33:57] What are these NLP presuppositions in the context of your secure methodology?

[00:35:00] What are your top two favorite presuppositions for the communication part of the security framework?

[00:39:49] What is mono tasking?

[00:43:17] What are some of the NLP presuppositions that we can use to remind ourselves that it is time to get down to to multitasking?

[00:45:28] What are a couple of presuppositions that we should have in mind for the Kaisen?

[00:46:38-00:46:38] Talk to us about the four phases of kaizen.

[00:50:57] It is one hundred years in the future. What do you want to be remembered for?

[00:51:37] Random Round.

[00:51:37] When do you think the first video to hit one trillion views on YouTube will happen and what will it be about?

[00:52:11] What do most people think within the first few seconds of meeting you for the first time?

[00:52:41] What are you currently reading?

[00:53:35] What song do you currently have on repeat?

[00:53:59] What's your earliest memory?

[00:54:32] When was the last time you changed your opinion about something major?

[00:55:37] What's the best piece of advice you have ever received?

[00:56:29] What's the right way going about finding a mentor in your experience?

[00:59:01] Who was your favorite teacher and why?

NLP and Philosophy | Kourosh Alizadah

Harpreet Sahota — Fri, 26 Nov 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/3GG9snF8p7o

Find Kourosh Alizadah online:
https://www.linkedin.com/in/kcalizadeh/
https://philosophydata.com/

Memorable Quotes from the Episode:

[00:20:22] "...one word that's very commonly used in philosophy is the word substance and in everyday language. It just means like stuff. But in philosophy, it means like the substrate upon which all the properties change, right? So like what is the substance of a stone that stays the same even when it changes color or breaks or something like that."

Highlights of the Show:

[00:01:16] Guest Introduction.

[00:03:34] Where you grew up and what it was like there?

[00:04:41] How did you figure out who you want to be? - What did you think your feature is going to look like?

[00:06:13] Do we still have philosophers who study "philosophy and ideas"?

[00:07:59] The philosophy of Data science is if we had to kind of pin that, would there be a philosophy to Data science or of Data science?

[00:09:22] What is Data? How is it different from information or data and information? Are they the same thing?

[00:10:29] The concept of "philosophy data project".

[00:11:41] Transition from a capstone project to flat iron Data science boot camp.

[00:18:39] Did you actually read a lot of books?

[00:24:25] What are prediction probabilities?

[00:55:10] Random Rround

[00:55:12] When do you think the first video to hit $1 trillion views on YouTube will happen and what will it be about?

[00:56:07] What do most people think within the first few seconds of meeting you for the first time?

[00:56:24] What are you currently reading right now?

[00:57:18] What song do you currently have on repeat?

[00:58:29] Pet, peeves.

[00:58:37] Who are some of your heroes?

[00:59:30] When people come to you for help, what do they usually want help with?

[01:00:01] If you lost all of your possessions, but one, what would you want it to be?

[01:00:14] What fictional place would you most like to go to?

Data Science Happy Hour 59 | 19NOV2021

Harpreet Sahota — Sun, 21 Nov 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/SOW9wUY3FpA

Resources:

https://medium.com/@grepdennis/how-a-sql-database-engine-works-c67364e5cdfd
https://medium.com/building-the-metaverse/evolution-of-the-creator-economy-9e038e8411af
https://medium.com/data-driven-fiction
https://snap.stanford.edu/data/roadNet-CA.html
https://theartistsofdatascience.fireside.fm/guests/anderson-silver
https://theartistsofdatascience.fireside.fm/guests/donald-j-robertson
https://www.amazon.com/Continuous-Discovery-Habits-Discover-Products/dp/1736633309
https://www.amazon.com/INSPIRED-Create-Tech-Products-Customers/dp/1119387507/ref=sr_1_1?keywords=inspired&qid=1637361494&s=books&sr=1-1
https://www.amazon.com/The-Feed-Season-1/dp/B086HVT7JH
https://www.hel.fi/uutiset/en/kaupunginkanslia/a-new-minecraft-city-model-introduces-helsinki-in-more-detail
https://www.linkedin.com/in/dkjapan/
https://www.tigergraph.com/resources/
https://www.youtube.com/watch?v=YT0CScFzp1o

Turn Ideas into Gold | Steven Cardinale

Harpreet Sahota — Fri, 19 Nov 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/cSOXStI5sjg

Find Steven Cardinale online:
https://twitter.com/scardinale
https://www.linkedin.com/in/stevencardinale/

Memorable Quotes from the Episode:

[00:53:20] "I was talking to somebody the other day and I said, What are you selling because I'm selling media coverage for football teams? I'm like, OK, great, you know, because all football teams need people to know where they're at. Nothing but what are you really selling? Well, I'm selling it to mostly the high school teams, and really what I'm selling is, you know that parents can see their kids and media coverage. Great. What are you selling? It took him a minute and goes, Well, I'm selling the fact that parents are spending money to be have their kids on a football team. They want to see their kids names in the newspaper. So now we're starting to understand something a little more interesting."

[00:11:21] "...if you think about a data scientist, you guys are alchemists, people who work with, you know, the big data lakes and the uncertainty of data and then convert it into a decision that is the essence of alchemy."

Highlights of the Show:

[00:01:24] Guest Introduction.

[00:04:43] Where you grew up and what it was like there?

[00:04:41] How did you figure out who you want to be?

[00:07:34] What are the two definitions of entrepreneurship as mentioned in your book?

[00:12:34] What are the terms Prima Materia and the Philosopher's Stone. How is it that they fit into this three step process?

[00:40:14] The "Albedo stage". What's so unique about this stage?

[00:43:03] The idea of pollination and how it helps us grow.

[00:48:40] "Ego is the enemy."

[00:49:51] When we're moving through these three stages, like, do they happen sequentially, concurrently, all over the place? How long should we be spending each?

[00:51:44] One part that I really enjoyed was just coming up with better questions because I feel like this is something that I've heard from my mentees. They really struggle with is like, they don't even know why questions are important, let alone how to even come up with better questions. So can you share some tips on how we can do that in our work?

[00:55:43] The rubato mindset. How is this different from the other parts that we've discussed?

[01:00:29] What are some tips you can share with us for how to use and implement these ideas that you talk about?

[01:02:18] It's one hundred years in the future. What do you want to be remembered for?

[01:03:00] When do you think the first video to hit one billion views on YouTube will happen? What's it going to be about?

[01:05:01] What are you currently reading?

[01:06:12] What songs do you currently have on repeat?

[01:07:15] What's your go to dance music?

[01:07:44] What is one of your favorite smells?

[01:07:58] In your group of friends. What role do you play?

[01:09:05] What's the best piece of advice you have ever received?

Data Science Happy Hour 58 | 12NOV2021

Harpreet Sahota — Sun, 14 Nov 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/IRkGuRMnZ6o

Resources:

https://fossa.com/blog/analyzing-legal-implications-github-copilot/
https://github.com/jupyter-naas/awesome-notebooks
https://hbr.org/2009/01/picking-the-right-transition-strategy
https://papermill.readthedocs.io/en/latest/

Turn the Lights on Data | George Firican

Harpreet Sahota — Fri, 12 Nov 2021 00:00:00 -0500

Watch the video of this episode: https://youtu.be/6UJED0scgy4

Find George Firican online:
https://twitter.com/georgefirican
https://www.linkedin.com/in/georgefirican

Memorable Quotes from the Episode:

[00:42:51] "So I think everything needs to start on the business side first, so ideally, that's very clear for everybody where the business with a five year plan, if you will, for the business is so that anything else is a strategy to support that plan, right? Otherwise, it's kind of just wishful thinking. If if you want to go to Mars from a Data perspective, how can you create models for the company to be able to do that? But then if the company doesn't want to get there, then it's pointless. So that's why it's you need a business to take that first step."

Highlights of the Show:

[00:01:29] Guest Introduction.

[00:02:53] Where you grew up and what it was like there?

[00:04:02] What did you think your future was going to look like at the age of 15?

[00:08:2] What was the nudge that got you into Data? What was the experience that you had that made you realize that Data was right for you as a great teacher?

[00:09:45] As data scientist, machine learning practitioners, we're end users of the data, right?

[00:12:22] What the heck is Data governance?

[00:14:26] Responsibilities of a data analyst.

[00:15:47-00:15:50] Can anybody be a data steward? What does a data steward mean?

[00:19:33] Metadata, master data, what are those? What do they have to do with data governance?

[00:22:19] Why should Data scientists care about these types of data?

[00:23:48] Discuss data governance in action in the workplace.

[00:27:28] When you say business driver, what does that mean?

[00:29:1] So what is the goal of the organization at a high level?

[00:30:02] What are your concerns around data governance or is there kind of a a business way to ask the question so that we can translate it into our own lingo?

[00:31:06] Why is it so painful to get to have the report or access them from a dashboard in a timely fashion?

[00:33:14] What would be the types of individuals that we would want to see on the council?

[00:35:11] What are the biggest challenges you foresee her facing when he's starting out a Data strategy at this massive organization?

[00:37:05] What can Stephen King teach us about Data governance?

[00:38:41] What are Data Management and other such principles? How do we identify these principles?

[00:41:18] What does Data strategy have to do with helping us get ahead in our Data careers?

[00:42:24] How can we help our organizations define a data strategy if we find ourselves in this position of having to to build a Data strategy?

[00:43:30] Are there any blueprints that exist to help create a Data strategy?

[00:44:24] What the heck are the maturity models like?

[00:45:48] Can we have the George tech and maturity model? Does that exist?

[00:50:37] What is the difference between data scientists and data analysts?

[00:53:33] Does data governance care about unstructured data or is it only about structured data; how's that?

[00:54:32] It's 100 years in the future. What do you want to be remembered for?

[00:54:59] When do you think the first video to hit one billion views on YouTube will happen, and what will it be about?

[00:55:55] What do most people think within the first few seconds of meeting you for the first time?

[00:56:46] What are you currently reading?

[00:58:13] Pet peeves?

[00:58:44] What's on your bucket list this year?

[01:00:35] Do you ever sing when you're alone?

Data Science Happy Hour 57 | 05NOV2021

Harpreet Sahota — Sun, 07 Nov 2021 00:00:00 -0400

Watch the video of this episode: https://youtu.be/t4HevyAyMbo

Resources:

https://www.amazon.com/Superminds-Surprising-Computers-Thinking-Together/dp/0316349135
https://www.forbes.com/sites/bernardmarr/2021/10/27/glenfiddich-sells-18000-super-rare-whisky-as-nfts--heres-what-that-means/

The Industrial Philosopher | Cristina Digiacomo

Harpreet Sahota — Fri, 05 Nov 2021 00:00:00 -0400

Watch the video of this episode: https://youtu.be/Zm2wrWgKn_g
Find Cristina Digiacomo online: https://www.linkedin.com/in/cristinadigiacomo

Memorable Quotes from the Episode:

[00:36:55-00:36:55] "... I know that's sort of like a pithy answer, but it's the truth. Our thoughts shape our reality. This is a very fundamental idea and concept from many, many, many, many philosophers across the millennia. We shape the circumstances in our lives just by the way that we look at them."

[00:23:14-00:23:16] "Philosophy s not just about thinking, it's about acting and acting appropriately. And so all those four things, you know, the perception of the truth and the truth. Managing your thoughts being deliberate and acting accordingly. Wisdom is the word for all of that."

Highlights of the Show:

[00:01:12] Guest Introduction

[00:02:54] Where did you grow up and what it was like there?

[00:07:08] How did you get into the DJ world?

[00:14:24] How did you get into into philosophy?

[00:15:41-00:15:41] Why is it that philosophy and wisdom [they] get lumped into these categories of being like "Woo Woo" out there? Why do you think that is?

[00:16:41] How do you define philosophy?

[00:19:46-00:19:52] Speaking of being wise, what is what is the difference between being wise and acting wise?

[00:24:23-00:24:25] How do we pause? How do we first of all, get to wisdom? How do we mitigate that knee jerk reaction?

[00:26:26] Talk to us about clarity as discussed in your book.

[00:28:52] Did you encounter any struggles when you're first trying to think in this way? I guess almost like metacognition, thinking about the way you're thinking and forcing yourself to answer these questions? Was that a bit of a challenge for you? And how did you overcome that?

[00:34:12] What are your thoughts on constantly being in thought?

[00:36:15] How can we help ourselves find out when we're having those detrimental thoughts and natural way back into something more productive, right?

[00:38:57-00:38:58] In your book you're talking about how people get really attached to their thoughts and their ideas. How can we avoid that?

[00:39:19] How do thought patterns affect our activities and what are some detriments of that?

[00:46:03] What is the real flow and how can we distinguish that from a fake flow?

[00:48:03] We talked about the importance of of inaction being just as important as as action. But if you were to just spelll it out clearly for us here, why is it that this inaction is just as important as as the action?

[00:49:48] What has philosophy taught you about being a better strategist?

[00:56:02] Is wisdom a trait that can be cultivated?

[00:56:27] Where can we cultivate this act of being wise everywhere that we are? Do we do it alone by ourselves as we interact with other people? How can we can we do that?

[00:57:20] What do you want to be remembered for?

[00:58:05] What do you think the first video to hit one billion views on YouTube will be about? And when will that happen?

[00:58:43] What do you think most people think within the first few seconds of meeting you?

[00:59:46] What are you currently reading?

[01:01:28] What languages do you speak?

[01:01:38] What's the story behind one of your scars?

[01:02:09] What's your favourite candy?

Data Science Happy Hour 56 | 28OCT2021

Harpreet Sahota — Sun, 31 Oct 2021 00:00:00 -0400

Watch the video of this episode: https://youtu.be/iHhULKL_iAU

Resources: 🔗

https://www.makeovermonday.co.uk/
https://github.com/amirziai/sklearnflask/
https://falconframework.org/
https://substack.com/profile/16324927-vin-vashishta
https://vinvashishta.substack.com/p/leadership-essentials-setting-clear
https://towardsdatascience.com/design-a-federated-learning-system-in-seven-steps-d0be641949c6#3c54-b11966999cd5-reply
https://github.com/phecy/SSL-FEW-SHOT

Become a Pragmatic Data Scientist | Andy Hunt

Harpreet Sahota — Fri, 29 Oct 2021 00:00:00 -0400

Watch the video of this episode: https://youtu.be/R4Xr5OiVuzo

Find Andy online:
https://twitter.com/PragmaticAndy
https://www.linkedin.com/pragmaticandy

Memorable Quotes from the episode:

[00:04:41-00:04:43] "I probably discovered computers around seventy six, seventy seven or so. In fact, the very first computer I ever experienced up close and personal not just read about was a teletype typewriter with an acoustic color. And you know, the kids in the audience are going, What's an acoustic coupler, grandpa? Right? If you remember the movie war games, you dial the phone with a handset and you stick a handset down in these foam cups and it goes. It makes the noises, and that's how you talk to the big giant mainframe, you know, and then literally in the next county over. So that was sort of my first, my first experience and I was hooked."

[00:35:54] "You are told in school that you're a dummy, that you can't ever learn anything that you're not good at Math. Oh my God. You know, I'm not a violent person, but I would shoot every teacher who told some girl, Oh, girls aren't good at math. You don't need to study that right? Bullshit. Hundred percent legit bullshit. The problem with that Is if you've been told by an authority figure, by a teacher that you can't learn something and then you believe it, then your brain wires itself so that you're not going to be able to learn it. It's a self modifying machine and it becomes a self-fulfilling prophecy. Which, to me, it's criminal. It's absolutely criminal."

Highlights from the show:

[00:01:32] Guest Introduction

[00:02:40] Talk to us a little bit about where you grew up and what was it like there.

[00:05:54] From the early age, did you just decide I'm going to go to school and I'm going to study computers and software?

[00:11:00] What is it with this pragmatic stuff? What does that mean to you?

[00:13:14] What if you're somebody who's just been constrained by your processes?

[00:20:16] Is it possible for me to be able to think like a software engineer, like an exceptional software engineer or software developer without necessarily being one?

[00:34:04] What is expertize and why is it so difficult to articulate?

[00:38:25] Can you talk to us about what Dreyfus model is and and why is it important that we understand this Dreyfus model?

[00:41:58] What's a good way for us to kind of accurately self assess where we would fall on this spectrum?

[00:54:18] How was it that you got interested in these type of books (pragmatic thinking) and how have they helped you and your journey?

[00:58:15] It's one hundred years in the future. What do you want to be remembered for?

[01:00:50] What is GROWS method?

[01:06:23] What are you listening to right now? What do you have on kind of repeat?

Data Science Happy Hour 55 | 22OCT2021

Harpreet Sahota — Sun, 24 Oct 2021 00:00:00 -0400

Resources: 🔗

https://missing.csail.mit.edu/
https://www.amazon.com/Pro-Git-Scott-Chacon-ebook/dp/B01ISNIKES/
https://progit2.s3.amazonaws.com/en/2016-03-22-f3531/progit-en.1084.pdf
https://www.udemy.com/course/git-and-github-bootcamp/
https://github.com/romkatv/powerlevel10k
https://github.com/ericgitonga/code-snippets
https://twitter.com/HBOMaxHelp/status/1405712235108917249
https://fossbytes.com/linus-torvaldss-famous-email-first-linux-announcement/
https://theartistsofdatascience.fireside.fm/greg-coquillo
https://hbr.org/2009/01/picking-the-right-transition-strategy
http://www.jefflichronicles.com/blog/2020/9/26/i-got-7-job-offers-during-the-worst-job-market-in-history-heres-the-data

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
Listen to the latest episode of Emily Balcetis: http://theartistsofdatascience.fireside.fm/emily-balcetis

Links:

Clearer, Closer, Better | Emily Balcetis

Harpreet Sahota — Fri, 22 Oct 2021 00:00:00 -0400

Find Emily online: https://www.psychologytoday.com/us/contributors/emily-balcetis-phd
Video of this episode: https://youtu.be/5SrfAxUHLyw

Highlights of the show:

[00:00:20] Guest Introduction

[00:02:40] Where did you grow up and what was it like there?

[00:07:09] Is life different now than what you imagined it would be?

00:10:02] At a high level, how does this experience we call site work? Is it just like, seeing things? And that's it, like what's going on in my head when I'm looking at something?

[00:14:21] You talk about these four different ways that are our sight helps us achieve our goals. Can you talk about them at a high level?

[00:28:13] Once we do find that one thing we want to focus on, like, how do we push ourselves through to the finish line?

[00:38:36-00:38:41] Can you help us understand what narrow focus is as knowledge workers? How can we use narrow focus to help us achieve our goals?

[00:45:55] how do we concretely identify a definitive moment of success before starting our journey?

[01:01:39] Positive feedback can sometimes backfire, right when we're pursuing our goals. What what is it about that?

[01:09:30] It is one hundred years in the future. What do you want to be remembered for?

[01:10:33] Random Round

[01:10:37] What's on your bucket list this year?

[01:10:52] What makes you cry?

[01:11:09] What's one of your favorite comfort foods?

[01:11:27] What's the last book you gave up on and stopped reading?

[01:12:08] What are you currently reading?

[01:12:45] What song do you got on repeat nowadays?

*The Artists of Data Science Social links: *

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Instagram: https://www.instagram.com/theartistsofdatascience/
Facebook https://facebook.com/TheArtistsOfDataScience
Twitter: https://twitter.com/ArtistsOfData

Data Science Happy Hour 54 | 15OCT2021

Harpreet Sahota — Sun, 17 Oct 2021 00:00:00 -0400

Check it out and don't forget to register for future office hours: http://bit.ly/adsoh

Listen to the latest episode: http://theartistsofdatascience.fireside.fm/john-vervaeke

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

Subliminal Motives | Eric Okon

Harpreet Sahota — Fri, 15 Oct 2021 00:00:00 -0400

Visit Eric online: https://twitter.com/iamericokon?lang=en
Video of this episode: https://youtu.be/k6KOE4VDVpg

Highlights of the Show:

[00:00:53] Guest Introduction

[00:01:38] Where did you grow up and what was it like there?

[00:04:05] When you're coming up in high school, like, was this kind of expected of you to go into the family business? Was it that big at that time?

[00:05:53] What kind of jobs did you have coming up in the family business?

[00:11:48] How did you go from working in the family business to eventually getting into the podcast game? What was the most that transition?

Eric: [00:31:32] Are you a believer in the law of attraction?

Eric: [00:34:45] ...because you're a scientist, are you spiritual?

Eric: [00:36:53] Have you ever been to mediums or anything like that?

[00:41:16] Would you rather be stuck on a broken ski lift or a broken elevator?

[00:42:12] What are you interested in that most people haven't heard of?

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Data Science Happy Hour 53 | 08OCT2021

Harpreet Sahota — Sun, 10 Oct 2021 00:00:00 -0400

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Data Science Happy Hour 52 | 01OCT2021

Harpreet Sahota — Sun, 03 Oct 2021 00:00:00 -0400

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Comet ML Office Hour 31 | 26SEP2021

Harpreet Sahota — Thu, 30 Sep 2021 00:00:00 -0400

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Data Science Happy Hour 51 | 24SEP2021

Harpreet Sahota — Sun, 26 Sep 2021 00:00:00 -0400

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Comet ML Office Hour 30 | 19SEP2021

Harpreet Sahota — Thu, 23 Sep 2021 00:00:00 -0400

Data Science Happy Hour 50 | 17SEP2021

Harpreet Sahota — Sun, 19 Sep 2021 00:00:00 -0400

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Comet ML Office Hour 29 | 12SEP2021

Harpreet Sahota — Thu, 16 Sep 2021 00:00:00 -0400

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Data Science Happy Hour 49 | 10SEP2021

Harpreet Sahota — Sun, 12 Sep 2021 00:00:00 -0400

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Data Science Happy Hour 48 | 03SEP2021

Harpreet Sahota — Sun, 05 Sep 2021 00:00:00 -0400

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Comet ML Office Hour 28 | 29AUG2021

Harpreet Sahota — Thu, 02 Sep 2021 00:00:00 -0400

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Data Science Happy Hour 47 | 28AUG2021

Harpreet Sahota — Sun, 29 Aug 2021 00:00:00 -0400

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Comet ML Office Hour 27 | 22AUG2021

Harpreet Sahota — Fri, 27 Aug 2021 00:30:00 -0400

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Checkout Jonathan Tesser's episode here: https://theartistsofdatascience.fireside.fm/jonathan-tesser
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Learn How to Use Publicly Available Web Data | Or Lenchner

Harpreet Sahota — Thu, 26 Aug 2021 00:00:00 -0400

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

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Data Science Happy Hour 46 | 20AUG2021

Harpreet Sahota — Sun, 22 Aug 2021 00:00:00 -0400

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Comet ML Office Hour 26 | 15AUG2021

Harpreet Sahota — Thu, 19 Aug 2021 00:00:00 -0400

Data Science Happy Hour 45 | 13AUG2021

Harpreet Sahota — Sun, 15 Aug 2021 00:00:00 -0400

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Comet ML Office Hour 25 | 08AUG2021

Harpreet Sahota — Thu, 12 Aug 2021 00:00:00 -0400

Data Science Happy Hour 44 | 06AUG2021

Harpreet Sahota — Sun, 08 Aug 2021 00:00:00 -0400

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Comet ML Office Hour 24 | 01AUG2021

Harpreet Sahota — Thu, 05 Aug 2021 10:00:00 -0400

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Data Science Happy Hour 43 | 30JUL2021

Harpreet Sahota — Sun, 01 Aug 2021 00:00:00 -0400

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Data Science Happy Hour 42 | 23JUL2021

Harpreet Sahota — Sun, 25 Jul 2021 00:00:00 -0400

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Comet ML Office Hour 23 | 18JUL2021

Harpreet Sahota — Thu, 22 Jul 2021 00:00:00 -0400

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Data Science Happy Hour 41 | 16JUL2021

Harpreet Sahota — Sun, 18 Jul 2021 00:00:00 -0400

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