Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

Decentralization for Data Scientists | Carlos Mercado

Decentralization for Data Scientists | Carlos Mercado

FromThe Artists of Data Science


Decentralization for Data Scientists | Carlos Mercado

FromThe Artists of Data Science

ratings:
Length:
81 minutes
Released:
Feb 4, 2022
Format:
Podcast episode

Description

Support the show: https://www.buymeacoffee.com/datascienceharp
Watch the video of this episode: https://youtu.be/jsNZCiTGWVM
Memorable Quotes from the show:
[00:04:37] "...When you open the book, the first thing you see is not financial advice. I am not a CFA. I'm on a talent. I have no mechanism to understand your personal financial situation. My goal, which I say in the book, is to transfer my way of thinking to like a book so that you can understand how I think about this stuff in a sort of economics and finance so that you can make an intelligent decision of like what percent of my investment portfolio should they allocate to this crazy bitcoin nonsense."
Highlights of the show:
[00:00:49] Guest Introduction
[00:01:40] How you got interested in blockchain in the first place?
[00:05:17] Who did you write this book for?
[00:06:33] You also talk about some 'stablecoin; What the heck does that even mean?
[00:07:55] What causes the prices of coins go super high and skyrocketing?
[00:10:23] When people talk about blockchain and crypto, can we conflate those two? When I say crypto, does that just mean a coin or does crypto also refer to blockchain?
[00:13:13] Why do we have blockchain when we do have PayPal?
[00:15:06] Talk to us about "Finan".
[00:16:20] What is money and why should inflation affect how we think about money?
[00:23:39] Ethereum.
[00:36:25] What do 'liquidity' and 'correlation' mean and can you help us out with an example?
[00:42:52] What 'loss aversion' is all about? Can you describe this concept? Is that why losing money hurts us because it takes so much more effort to get it back?
[00:44:52] What's the average person want from finance and how can decentralized finance be useful for them?
[00:50:15] Talk about some traits of a good portfolio?
[00:55:06] Concept of how to pick a 'protocol'. What do you look at when you're picking a protocol?
[01:05:06] It's one hundred years in the future. What do you want to be remembered for?
[01:06:21] Talk about some of your interviewing experience(s).
[01:18:43] What are you currently reading right now?
[01:19:38] What is one of your favorite smells?
[01:20:15] What's something you wish you figured out sooner?
Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh
Register for Sunday Sessions here: http://bit.ly/comet-ml-oh
Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark
The Artists of Data Science Social links:
Support the show: https://www.buymeacoffee.com/datascienceharp
YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience
Instagram: https://www.instagram.com/datascienceharp
Facebook https://facebook.com/TheArtistsOfDataScience
Twitter: https://twitter.com/datascienceharp
Released:
Feb 4, 2022
Format:
Podcast episode

Titles in the series (100)

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!