Banana Data Podcast
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/
- Update frequency
- every 12 days
- Average duration
- 22 minutes
- Episodes
- 59
- Years Active
- 2019 - 2021
The Data Debate Stage
The field of data science is wrought with many unsolved debates. Is data science nothing more than fancy statistics? What performs better: R or Python? Most crucially, do you need to be a great coder…
Banana Byte: The Good, the Bot, the Ugly
Typically when the average person thinks of bots, it rings with a negative connotation. Bots are immediately associated with spam and fake personas. But, is there a positive flip side to this coin? L…
A Deeper Look at CAPTCHA Systems
In this episode, Chris and Triveni take a deeper look at CAPTCHA, a completely automated system that has become a nearly inevitable part of a user's online experience. How did complete automation of …
Banana Byte: Misinterpreted Data and Understanding Uncertainty
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 inte…
Conscious Data Disclosure & AI Consumption
In this episode, our hosts Chris and Triveni walk us through commonly overlooked implications of what it means to dole out personal data. What are the downstream effects of sharing your data? What ar…
Banana Byte: Viral Tweets, Skynet, and The Reality of Data Science
When people generally think of AI they think in futuristic terms defined by movies like The Terminator. However AI, at least at this moment, is nowhere near Skynet, a fictional artificial neural netw…
Exciting Global AI
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 know…
Banana Byte: How Much Math Do You Need for Data Science?
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 p…
Machine Learning Pet Peeves
This episode, Chris and Triveni take a look at the most common mistakes in AI, and the misconceptions that plague most data scientists as a result. We'll explore how perceptions of data quality, data…
Weighing the Good and Bad in AI
For our season 4 kickoff, we’re taking a look at uses of AI that aren’t so black and white. When it comes to deepfakes, filtering, and predictive policing - when do the risks outweigh the benefits? A…
Banana Byte: Understanding the Value of Deep Learning
Deep Learning has become a mainstay in today's data science and AI practices - but what makes it so valuable? On this Banana Byte, we explore when, why, and how to use deep learning, and how it compa…
Banana Byte: The Hidden Costs of Cloud Computing
Many claim that Cloud has stolen the computing show - providing scalability, cost savings, loss prevention, and more - it's taken the world (and the headlines) by storm. So, on this Banana Byte, we a…
Banana Byte: Zoom Privacy
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 …
Data Nuance & Human-in-the-Loop Monitoring
For our Season 3 finale, we're taking a look at model accuracy, the threat of generalized results, and how to understand and demonstrate the nuanced results of your models. Is the onus on scientists …
Fighting Cheating AI & Redefining AI companies
AI is meant to help us expedite processes and get to the conclusions quicker. But, what happens when the process that AI takes to get to the end goal is erroneous? In this episode we discuss how you …
The Messiness of Data
With the upcoming 2020 presidential election, there's a lot for data scientists and analysts to learn from the political realm and its unending streams of messy data. Will and Triveni sit down with s…
Analytics in the NFL & Revolutions in Data Discovery
This episode, in honor of draft season, we’re discussing the NFL’s newest tactics to quantify and predict players’ success, and diving into Spotify’s case for data discovery. Leaving behind the probl…
Deepfakes & Data Upskilling
In our season 3 kickoff, we’re challenging ourselves to ask --who grants authority to those in charge of validating content? How do we remain cognizant of big tech and corporations that shape our con…
Is AI Worth it?
In our season 2 finale, we’re asking about the business impact and ROI of data science - what are our measures of success, who calls the shots, when should we see returns, and how do we know this is …
The Roles in Data Science, feat. Tristan Handy, CEO & Founder of Fishtown Analytics
With Tristan Handy, CEO & Founder of Fishtown Analytics, we ask -- who should be part of the data science process? Bearing both technical requirements and business objectives, the data scientist cann…