Banana Data Podcast

In this episode, our Banana Data hosts discuss the many implications that can arise from misinterpreted data. What criteria needs to be established for valid conclusions from data and how can we interpret uncertainty?
Check out what we've been reading:

Why Bleach, Disinfectants And Other Antibacterial Products Kill Only 99.9% Of Germs
Margin of Error - Twitter
This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

In this episode, we take a look at a number of international Artificial Intelligence initiatives and evaluate what countries with burgeoning data science ecosystems can take away. How are lesser known Artificial Intelligence powerhouses like Sweden, Vietnam, and Kenya are supporting innovation both intra and internationally?

Learn more about the articles referenced in this episode:

AI Kenya

Phase 1 of Konza Technopolis Data Center Complete

Vietnam’s Artificial Intelligence Scenario is Evolving

How different countries view artificial intelligence

We're talking about one of the most frequently asked questions by people looking to jump start their Data Science career: do you need to have every mathematical formula memorized? What are the true prerequisites you need to be prepared in this field? Tune in and we’ll get you up to speed.

Learn more about the articles referenced in this Byte:
How Much Math Do You Need to Know to Get Started with Data Science? Ritobrata Ghosh (Towards Data Science)
How Much Math Do I need in Data Science? by Benjamin Obi Tayo, Ph.D. (Medium)

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This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

Zoom conferencing software recently made headlines for its huge leaks in privacy and security, pushing a number of big corporations to block the software and push for new privacy legislation. During this Banana Byte session, we cover the things Zoom overlooked - and what it means for data privacy, usability, and user experience.
During our off-season break, we'll be releasing more of these Banana Bytes - which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, and stay-up-to-data with the Banana Data Podcast!

This week we’re diving into some deeper impacts of AI’s successes and failures- asking where responsibility lies for an algorithm’s failures, and the endless benefits of accessibility and responsibility that come with AI implemented in healthcare. We’re also taking a deep dive into Epsilon greedy multi-armed bandits and how we can more accurately describe our successes (and our failures) in AI.
When algorithms mess up, the nearest human gets the blame by Karen Hao (MIT Technology Review)
Google Trained Its AI to Predict Lung Cancer by Christine Fisher (Engadget)
No This AI Can’t Finish Your Sentence by Tiernan Ray (ZDNet)
Introduction to Multi-Armed Bandits with Applications in Digital Advertising by Dave King (SpotX)
Register for EGG NYC, Dataiku's human-centered AI conference on June 20th to hear from leaders in the AI & advanced analytics space, including WIRED, Twitter, Hinge, and more!

https://nyc.egg.dataiku.com/