Banana Data Podcast
By Dataiku
Listen to a podcast, please open Podcast Republic app. Available on Google Play Store and Apple App Store.
Image by Dataiku
Category: Technology
Open in Apple Podcasts
Open RSS feed
Open Website
Rate for this podcast
Subscribers: 0
Reviews: 0
Episodes: 59
Description
Welcome to the Banana Data Podcast! We're a data science podcast focused on the latest & greatest of the DS ecosystem, sprinkled in with our musings & data science expertise. With topics ranging from ethical AI and transparency to robot pets, our hosts, Christopher Peter Makris & Corey Strausman, are here to keep you up to date on the latest trends, news, and big convos in data. If you're looking to keep the knowledge up, be sure to also subscribe to our weekly Banana Data Newsletter! Register here: https://banana-data.com/
| Episode | Date |
|---|---|
|
Ethical Implications of Humanizing Your Data
|
Sep 13, 2021 |
|
Floor to Ceiling Data Strategy
|
Aug 30, 2021 |
|
Data Visualization w/ Nathan Mannheimer, Director of Data Science & ML at Tableau
|
Aug 16, 2021 |
|
Leverage Storytelling With Data
|
Jul 19, 2021 |
|
The Importance of Human in the Loop AI With Christina Hsiao
|
Jul 05, 2021 |
|
What Happens When Humanization Fails? A Conversation With Jeremie Harris of Towards Data Science
|
Jun 21, 2021 |
|
Methodology & Functionality in Differing Data Science Roles
|
Jun 07, 2021 |
|
Rise of the Data Citizen
|
May 24, 2021 |
|
Create Technological Emotional Bonds w/ Creative Intelligence
|
May 10, 2021 |
|
What Does It Mean to Humanize Your Data?
|
Apr 26, 2021 |
|
In English Please: Part 2
|
Apr 05, 2021 |
|
In English Please: Part 1
|
Mar 23, 2021 |
|
Banana Byte: AI Is Revolutionizing Biological Sciences - What Are the Implications?
|
Dec 21, 2020 |
|
2021 Trends in AI
|
Dec 18, 2020 |
|
Banana Byte: Data Tools We're Thankful For
|
Dec 11, 2020 |
|
What Does It Mean to Be a Data Scientist?
|
Dec 04, 2020 |
|
Banana Byte: Using AI to extend People Analytics
|
Nov 20, 2020 |
|
How The COVID Monitor Project is Driving Data Transparency & Access
|
Nov 13, 2020 |
|
Our Social Network
|
Oct 30, 2020 |
|
Banana Byte: Is Investing Your Time in Code Worth It?
|
Oct 24, 2020 |
|
The Data Debate Stage
|
Oct 16, 2020 |
|
Banana Byte: The Good, the Bot, the Ugly
|
Oct 09, 2020 |
|
A Deeper Look at CAPTCHA Systems
|
Oct 02, 2020 |
|
Banana Byte: Misinterpreted Data and Understanding Uncertainty
|
Sep 25, 2020 |
|
Conscious Data Disclosure & AI Consumption
|
Sep 18, 2020 |
|
Banana Byte: Viral Tweets, Skynet, and The Reality of Data Science
|
Sep 12, 2020 |
|
Exciting Global AI
|
Sep 04, 2020 |
|
Banana Byte: How Much Math Do You Need for Data Science?
|
Aug 28, 2020 |
|
Machine Learning Pet Peeves
|
Aug 21, 2020 |
|
Weighing the Good and Bad in AI
|
Aug 07, 2020 |
|
Banana Byte: Understanding the Value of Deep Learning
|
Jul 24, 2020 |
|
Banana Byte: The Hidden Costs of Cloud Computing
|
Jul 17, 2020 |
|
Banana Byte: Zoom Privacy
|
Jul 10, 2020 |
|
Data Nuance & Human-in-the-Loop Monitoring
|
Jun 05, 2020 |
|
Fighting Cheating AI & Redefining AI companies
|
May 22, 2020 |
|
The Messiness of Data
|
May 08, 2020 |
|
Analytics in the NFL & Revolutions in Data Discovery
|
Apr 24, 2020 |
|
Deepfakes & Data Upskilling
|
Apr 10, 2020 |
|
Is AI Worth it?
|
Mar 27, 2020 |
|
The Roles in Data Science, feat. Tristan Handy, CEO & Founder of Fishtown Analytics
|
Mar 14, 2020 |
|
How We Talk about AI, feat. Karen Hao, MIT Technology Review
|
Feb 28, 2020 |
|
The Everyday of AI
|
Feb 14, 2020 |
|
The Future (and the now) of AI with Azalia Mirhoseini, Senior Researcher at Google Brain
|
Feb 01, 2020 |
|
Do I do AI?
|
Jan 17, 2020 |
|
Finding Community in Data Science with Reshama Shaikh, key scikit-Learn sprint organizer
|
Jan 03, 2020 |
|
Why Open Source? feat. Andreas Mueller, a Core Contributor of scikit-Learn
|
Dec 20, 2019 |
|
Predicting AI Trends for 2020
|
Dec 07, 2019 |
|
Life after Production, a Tale of Technical Debt with Dan Shiebler, Twitter Eng
|
Nov 15, 2019 |
|
The Essentials (and not-so essentials) of Data Science Pipelines
|
Nov 01, 2019 |
|
What Makes a Good Data Science Practice
|
Sep 13, 2019 |
|
The Death of Data Viz, Cross-Cultural AI, and AI Auditing
|
Aug 30, 2019 |
|
Prioritizing training data, model interpretability, and dodging an AI Winter
|
Aug 16, 2019 |
|
Building accessible queries, codes, and speech using AI
|
Aug 02, 2019 |
|
AI Meets World: GDPR, the AI Job Apocalypse, and AI’s carbon footprint
|
Jul 19, 2019 |
|
A New Kind of Relationship with AI: Robopets, AI Art, and AI EQ
|
Jul 05, 2019 |
|
The future of data according to predictions, Python 3.0, and people.
|
Jun 22, 2019 |
|
Culpability in AI failures, Fooling NNs with NNs, AI for cancer screenings, and Epsilon Greedy Multi-Armed Bandits
|
Jun 07, 2019 |
|
Biased Data & the Perfect Answer, Multi-Armed Bandits, and the GPUs Behind Your Neural Networks
|
May 23, 2019 |
|
Being an Ethical Data Scientist, Federated Learning in Healthcare, and Dropping the “Best Model” Approach
|
May 09, 2019 |