Eric Ma's guest appearances

Eric Ma

The Irish Tech News Podcast

Learning Bayesian Statistics

Eddy LIVE

Elon Musk

Alex Mashinsky

Tom McCarthy

Fabian Dittrich

Peter Diamandis

Mary Barbera

Richard Johnson

David Katz

Michael Mann

Mike Weeks

Darren Hardy

Derek Murphy

Charlie Lee

Paul O’Brien

Bruce Wayne

OwlTail

Don't forget to subscribe to our channel: https://www.youtube.com/c/EddyLIVE Eric Ma, the Chief Marketing Officer of Deeper Network is with us live tonight to talk about the benefits of a decentralized VPN.   #DeeperNetwork is hoping to usher in a new area of a decentralized VPN along with the ability to mine and stake its native token DPR.   The Deeper Network gear is also able to mine the helium token making it the first-ever product that is able to mine two different types of cryptocurrency, to my knowledge anyway.   Join us as we talk, about crypto, web 3.0 and decentralized projects live tonight with some wings and maybe a beer or two.   Grab your Deeper Network Gear:   Mini https://order.deeper.network/product/deeper-connect-mini?affiliates=374 Helium https://order.deeper.network/product/deeper-network-hnt-miner?affiliates=374 Mini + HNT miner https://order.deeper.network/product/deeper-connect-mini-hnt-miner?affiliates=374 Blockchain website:  deeper.network Twitter:  @deeper_network Telegram: t.me/deepernetwork ---------------------------------------------------- Order food or Reaper Hot Sauce directly from Eddy's:  www.eddys.tw  Get some Ghost Pepper Maqau from Empress Hot Sauce:  https://www.empresshotsauce.com Podcast recorded at Eddy's Cantina https://g.page/eddystianmu?share

Don't forget to subscribe to our channel: <a href="https://www.youtube.com/c/EddyLIVE" rel="nofollow" target="_blank">https://www.youtube.com/c/EddyLIVE</a> Eric Ma, the Chief Marketing Officer of Deeper Network is with us live tonight to talk about the benefits of a decentralized VPN. #DeeperNetwork is hoping to usher in a new area of a decentralized VPN along with the ability to mine and stake its native token DPR. The Deeper Network gear is also able to mine the helium token making it the first-ever product that is able to mine two different types of cryptocurrency, to my knowledge anyway. Join us as we talk, about crypto, web 3.0 and decentralized projects live tonight with some wings and maybe a beer or two. Grab your Deeper Network Gear: Mini https://order.deeper.network/product/deeper-connect-mini?affiliates=374 Helium https://order.deeper.network/product/deeper-network-hnt-miner?affiliates=374 Mini + HNT miner https://order.deeper.network/product/deeper-connect-mini-hnt-miner?affiliates=374 Blockchain website: deeper.network Twitter: @deeper_network Telegram: <a href="http://t.me/deepernetwork" rel="nofollow" target="_blank">t.me/deepernetwork</a> ---------------------------------------------------- Order food or Reaper Hot Sauce directly from Eddy's: <a href="http://www.eddys.tw" rel="nofollow" target="_blank">www.eddys.tw</a> Get some Ghost Pepper Maqau from Empress Hot Sauce: <a href="https://www.empresshotsauce.com" rel="nofollow" target="_blank">https://www.empresshotsauce.com</a> Podcast recorded at Eddy's Cantina https://g.page/eddystianmu?share

Eddy.LIVE Show ep. 124, Eric Ma, Deeper Network CMO #Taiwanenglishpodcast #TaiwanPodcast

Jamil catches up with Eric Ma to learn more about this project A Deeper Dive: Building the Web 3.0 with Deeper Network's decentralized VPNs, with Eric Ma  Previously a core member of CoinMarketCap, he took charge in building the groundwork of their community to what it has become today. Being front facing, Eric met with members of the community online and offline. He also played a key role in seeking strategic partnerships for CoinMarketCap helping the company to become a multimillion dollar company. Eric is an award winning public speaker and often takes to the stage to educate and share his experience with new blockchain products and ideas with the blockchain community. As the VP of Marketing at Deeper Network, Eric sees new products and innovation as key drivers to the blockchain industry. With the demand for technology growing non-stop, together with the talent at Deeper Network, Eric will help lead the company to new heights and achieve new milestones in the years ahead. About Jamil Hasan Jamil Hasan is a Generation X Author and experienced data intelligence technology builder with two decades of experience leading data-based teams at Fortune 100 companies, including AIG, Prudential Financial, and Ingersoll Rand. Jamil believes that skill and experience, not just age, is the most important factor required to build and lead corporate organizations. His unique story, as someone on the ground floor of the 2008 financial crisis and his role to help repay the $180 billion AIG bailout, enabled him to come face-to-face with many of the societal ills facing Generation X today and their causes. As the result of his experience, Jamil has developed a path forward for his fellow Gen Xers to restore his generation’s financial standing in society today and to rebuild the American Dream for Generation X.

Jamil catches up with Eric Ma to learn more about this project A Deeper Dive: Building the Web 3.0 with Deeper Network's decentralized VPNs, with Eric Ma Previously a core member of CoinMarketCap, he took charge in building the groundwork of their community to what it has become today. Being front facing, Eric met with members of the community online and offline. He also played a key role in seeking strategic partnerships for CoinMarketCap helping the company to become a multimillion dollar company. Eric is an award winning public speaker and often takes to the stage to educate and share his experience with new blockchain products and ideas with the blockchain community. As the VP of Marketing at Deeper Network, Eric sees new products and innovation as key drivers to the blockchain industry. With the demand for technology growing non-stop, together with the talent at Deeper Network, Eric will help lead the company to new heights and achieve new milestones in the years ahead. About Jamil Hasan Jamil Hasan is a Generation X Author and experienced data intelligence technology builder with two decades of experience leading data-based teams at Fortune 100 companies, including AIG, Prudential Financial, and Ingersoll Rand. Jamil believes that skill and experience, not just age, is the most important factor required to build and lead corporate organizations. His unique story, as someone on the ground floor of the 2008 financial crisis and his role to help repay the $180 billion AIG bailout, enabled him to come face-to-face with many of the societal ills facing Generation X today and their causes. As the result of his experience, Jamil has developed a path forward for his fellow Gen Xers to restore his generation’s financial standing in society today and to rebuild the American Dream for Generation X.

Building the Web 3.0 with Deeper Network's decentralized VPNs, with Eric Ma

I have two questions for you: Are you a self-learner? Then how do you stay up to date? What should you focus on if you’re a beginner, or if you’re more advanced?And here is my second question: Are you working in biomedicine? And if you do, are you using Bayesian tools? Then how do you get your co-workers more used to posterior distributions than p-values? In other words, how do you change behaviors in a large organization?In this episode, Eric Ma will answer all these questions and even tell us his favorite modeling techniques, which problems he encountered with these models, and how he solved them. He’ll also share with us the software-engineering workflow he uses at Novartis to share his work with colleagues.Eric is a data scientist at the Novartis Institutes for Biomedical Research, where he focuses on Bayesian statistical methods to make medicines for patients. Eric is also a prolific open source developer: he led the development of pyjanitor, an API for cleaning data in Python, and nxviz, a visualization package for NetworkX. He also contributes to PyMC3, matplotlib and bokeh.This is « Learning Bayesian Statistics », episode 5, recorded October 21, 2019.Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !Links from the show:Eric's website: https://ericmjl.github.io/Eric on Twitter: https://twitter.com/ericmjlBayesian analysis recipes: https://github.com/ericmjl/bayesian-analysis-recipesBayesian deep learning demystified: https://github.com/ericmjl/bayesian-deep-learning-demystifiedCausality repo: https://github.com/ericmjl/causalityPyjanitor - Convenient data cleaning routines for repetitive tasks: https://pyjanitor.readthedocs.io/PyMC3 - Probabilistic Programming in Python: https://docs.pymc.io/Panel - A high-level app and dashboarding solution for Python: https://panel.pyviz.org/Nxviz - Visualization Package for NetworkX: https://nxviz.readthedocs.io/en/latest/This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacy

I have two questions for you: Are you a self-learner? Then how do you stay up to date? What should you focus on if you’re a beginner, or if you’re more advanced?And here is my second question: Are you working in biomedicine? And if you do, are you using Bayesian tools? Then how do you get your co-workers more used to posterior distributions than p-values? In other words, how do you change behaviors in a large organization?In this episode, Eric Ma will answer all these questions and even tell us his favorite modeling techniques, which problems he encountered with these models, and how he solved them. He’ll also share with us the software-engineering workflow he uses at Novartis to share his work with colleagues.Eric is a data scientist at the Novartis Institutes for Biomedical Research, where he focuses on Bayesian statistical methods to make medicines for patients. Eric is also a prolific open source developer: he led the development of pyjanitor, an API for cleaning data in Python, and nxviz, a visualization package for NetworkX. He also contributes to PyMC3, matplotlib and bokeh.This is « Learning Bayesian Statistics », episode 5, recorded October 21, 2019.Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at <a href="https://bababrinkman.com/" rel="noopener noreferrer nofollow" target="_blank">https://bababrinkman.com/</a> !Links from the show:<ul><li>Eric's website: <a href="https://ericmjl.github.io/" rel="noopener noreferrer nofollow" target="_blank">https://ericmjl.github.io/</a></li><li>Eric on Twitter: <a href="https://twitter.com/ericmjl" rel="noopener noreferrer nofollow" target="_blank">https://twitter.com/ericmjl</a></li><li>Bayesian analysis recipes: <a href="https://github.com/ericmjl/bayesian-analysis-recipes" rel="noopener noreferrer nofollow" target="_blank">https://github.com/ericmjl/bayesian-analysis-recipes</a></li><li>Bayesian deep learning demystified: <a href="bayesian-deep-learning-demystified" rel="noopener noreferrer nofollow" target="_blank">https://github.com/ericmjl/bayesian-deep-learning-demystified</a></li><li>Causality repo: <a href="https://github.com/ericmjl/causality" rel="noopener noreferrer nofollow" target="_blank">https://github.com/ericmjl/causality</a></li><li>Pyjanitor - Convenient data cleaning routines for repetitive tasks: <a href="https://pyjanitor.readthedocs.io/" rel="noopener noreferrer nofollow" target="_blank">https://pyjanitor.readthedocs.io/</a></li><li>PyMC3 - Probabilistic Programming in Python: <a href="https://docs.pymc.io/" rel="noopener noreferrer nofollow" target="_blank">https://docs.pymc.io/</a></li><li>Panel - A high-level app and dashboarding solution for Python: <a href="https://panel.pyviz.org/" rel="noopener noreferrer nofollow" target="_blank">https://panel.pyviz.org/</a></li><li>Nxviz - Visualization Package for NetworkX: <a href="https://nxviz.readthedocs.io/en/latest/" rel="noopener noreferrer nofollow" target="_blank">https://nxviz.readthedocs.io/en/latest/</a></li></ul>This podcast uses the following third-party services for analysis: Podcorn - <a href="https://podcorn.com/privacy" rel="nofollow" target="_blank">https://podcorn.com/privacy</a>

#5 How to use Bayes in the biomedical industry, with Eric Ma