In our final episode of season 4, Chris and Triveni discuss looming trends in data science and AI that will lead us into 2021. We'll touch on latency, normalized AI, citizen data scientists, and actualized responsible AI. Check out what we've been reading:  Data Privacy & Security NLP & Conversational Analytics  Gartner’s Top Technology Trends That Will Define 2021 Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox ..read more

This episode, Triveni and Will tackle the value, ethics, and methods for good labeled data, while also weighing the need for model interpretability and the possibility of an impending AI winter.  Triveni will also take us through a step-by-step of the decisions made by a Random Forest algorith   As always, be sure to rate and subscribe!   Be sure to check out the articles we mentioned this week:  The Side of Machine Learning You’re Undervaluing and How to Fix it by Matt Wilder (LabelBox)  The Hidden Costs of Automated Thinking by Jonathan Zittrain (The New Yorker ..read more

This AI podcast has been live for two seasons - but we haven’t stepped back to ask - what even is AI? In this episode, Triveni & Will work through their definitions of AI, exploring theories, use-cases, and examples of what they think qualifies as AI - and how we measure it.   Do statistics count as AI? Does AI need to include Arnold Schwarzenegger? Who has actually achieved AI?  Is it AI or not? A Score Card with 4 Dimensions by Florian Douetteau (Medium)  AI Is Not Just for Big Tech Companies -- You Can Use AI to Transform Your Organization, Too by Vishal Gupta (Forbe ..read more

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 compares to (and might replace!) other common algorithms. 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 ..read more

Accessibility, by definition, is about making tasks more achievable. In episode 7 of the podcast, Triveni and Will explore how AI is shaping our world to become more accessible, and how we as data scientists can help it get there, diving into Salesforce’s new “unstructured” querying tool, the various physical manifestations of AI, and even questioning some of their previous takes on ethics. They’ll also walk us through the contributions of BERT to the NLP space, and the how and why it’s been so revolutionary.  As always, be sure to rate and subscribe!  Be sure to check out the articl ..read more

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 ne ..read more

Core algorithms might only take up a few times of code and a few minutes to do so. But, the rest of the program may get messy quickly. In this Banana Byte, we tackle the question of when its worth it to invest your time in code and the trade-offs between developing something accurate vs. something quick.  Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox! 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 a ..read more

Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox! In this Banana Byte, our podcast hosts discuss a recent breakthrough in drug discovery catalyzed by AI and Machine Learning. What are the larger implications of this discovery and why is it significant? Check out what we're reading:  London A.I. Lab Claims Breakthrough That Could Accelerate Drug Discovery How Machine Learning is Transforming Drug Discovery The US Government Will Pay Doctors to Use These AI Algorithms One of biology's biggest mysteries 'largel ..read more

Now that we’ve covered how open source works, we’re looking to pull back the curtain and see who’s actually contributing. In part 2/2 of our series on open source, we sat down with Reshama Shaikh, a statistician and key organizer of scikit-Learn sprints, to learn about the ups & downs of open source contributing, as well how a Sprint in Nairobi benefits Fortune 500 companies in the US.  Reshama Shaikh is an independent data scientist/statistician and MBA with skills in Python, R and SAS. I worked for over 10 years as a biostatistician in the pharmaceutical industry. Further Reading:&n ..read more

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 are you benefitting and losing from opting out of data collection? Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox ..read more