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Episodes of Banana Data Podcast
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Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we explored data strategy and how humanization can level it up. This we
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we explored data visualization with Nathan Mannheimer from Tableau. Th
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we explored the importance of storytelling with data. This week, we dis
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we explored the importance of human in the loop within the ML pipeline
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we discussed what happens when humanization fails and consequences that
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we discussed differing methodologies and functionalities within the dat
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we discussed how data scientists & citizen data scientists collaborate
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we discussed why technology’s long-term goal shouldn’t solely be effici
Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we discussed how data insights can be humanized in an easily digestible
We're kicking off Season 5 of the Banana Data Podcast today. This season, we’re ushering in the notion of humanizing data science. We’ll guide you through issues such as why trends and technologies matter beyond your centralized data team and b
Welcome to part 2 of “In English Please!” This recap episode is summary of our "In English Please" segments which are quick explanations of complex data science terms, processes, or phenomena distilled into easy to understand concepts. Think of
The Banana Data Podcast team is currently prepping for Season 5. In the meantime, check out a recap of all our In English Please segments. These “In English Please” segments are quick explanations of complex data science terms, processes, or ph
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 Lear
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 be
With the holidays in full force, we’re taking stock of all that we’re grateful for in our lives. In this Banana Byte, the Banana Data Podcast team shares the top data tools that they are thankful for. These tools make data science easier, quick
Today we’re sitting down with a roundtable of data science and machine learning experts from Spotify, PwC, and Google Cloud. What does it truly mean to be steeped in the data science industry and what considerations should be addressed as a pra
In a world of work that is becoming increasingly virtual, the volume of data available to understand and predict employee output is growing at exponential pace. People analytics by virtue of AI and big data is essential to managing and improvin
On today’s episode, we are speaking to Oscar Wahltinez, Engineer at Google and Board Member at FinMango, about his work on the Covid Monitor Project and the value of data transparency and access for all. Here you can find links to Oscar's ongoi
We're turning our attention towards the new Netflix documentary on the harms and potential of social networking: 'The Social Dilemma.' In this episode, Chris and Triveni comment upon the film's perspective on data commodification, accountabili
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-of
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 to be a great data scientist? In this episod
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? Listen to our 15-minute Banana Byte to find ou
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 this system give rise to complications and ex
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
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
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