The Banana Data Podcast

By Dataiku

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/

  1. 1.
    Create Technological Emotional Bonds w/ Creative Intelligence
    17:44
  2. 2.
    What Does It Mean to Humanize Your Data?
    20:30
  3. 3.
    In English Please: Part 2
    27:00
  4. 4.
    In English Please: Part 1
    23:17
  5. 5.
    Banana Byte: AI Is Revolutionizing Biological Sciences - What Are the Implications?
    16:08
  6. 6.
    2021 Trends in AI
    19:03
  7. 7.
    Banana Byte: Data Tools We're Thankful For
    14:48
  8. 8.
    What Does It Mean to Be a Data Scientist?
    28:56
  1. 9.
    Banana Byte: Using AI to extend People Analytics
    16:43
  2. 10.
    How The COVID Monitor Project is Driving Data Transparency & Access
    21:10
  3. 11.
    Our Social Network
    18:57
  4. 12.
    Banana Byte: Is Investing Your Time in Code Worth It?
    15:27
  5. 13.
    The Data Debate Stage
    22:07
  6. 14.
    Banana Byte: The Good, the Bot, the Ugly
    14:33
  7. 15.
    A Deeper Look at CAPTCHA Systems
    19:35
  8. 16.
    Banana Byte: Misinterpreted Data and Understanding Uncertainty
    15:23
  9. 17.
    Conscious Data Disclosure & AI Consumption
    16:15
  10. 18.
    Banana Byte: Viral Tweets, Skynet, and The Reality of Data Science
    13:28
  11. 19.
    Exciting Global AI
    21:08
  12. 20.
    Banana Byte: How Much Math Do You Need for Data Science?
    14:27
  13. 21.
    Machine Learning Pet Peeves
    19:32
  14. 22.
    Weighing the Good and Bad in AI
    22:40
  15. 23.
    Banana Byte: Understanding the Value of Deep Learning
    16:06
  16. 24.
    Banana Byte: The Hidden Costs of Cloud Computing
    16:09
  17. 25.
    Banana Byte: Zoom Privacy
    15:43
  18. 26.
    Data Nuance & Human-in-the-Loop Monitoring
    21:54
  19. 27.
    Fighting Cheating AI & Redefining AI companies
    27:23
  20. 28.
    The Messiness of Data
    21:39
  21. 29.
    Analytics in the NFL & Revolutions in Data Discovery
    20:08
  22. 30.
    Deepfakes & Data Upskilling
    25:48
  23. 31.
    Is AI Worth it?
    23:52
  24. 32.
    The Roles in Data Science, feat. Tristan Handy, CEO & Founder of Fishtown Analytics
    25:28
  25. 33.
    How We Talk about AI, feat. Karen Hao, MIT Technology Review
    26:08
  26. 34.
    The Everyday of AI
    23:44
  27. 35.
    The Future (and the now) of AI with Azalia Mirhoseini, Senior Researcher at Google Brain
    25:13
  28. 36.
    Do I do AI?
    24:37
  29. 37.
    Finding Community in Data Science with Reshama Shaikh, key scikit-Learn sprint organizer
    24:36
  30. 38.
    Why Open Source? feat. Andreas Mueller, a Core Contributor of scikit-Learn
    27:26
  31. 39.
    Predicting AI Trends for 2020
    24:12
  32. 40.
    Life after Production, a Tale of Technical Debt with Dan Shiebler, Twitter Eng
    29:30
  33. 41.
    The Essentials (and not-so essentials) of Data Science Pipelines
    23:19
  34. 42.
    What Makes a Good Data Science Practice
    29:20
  35. 43.
    The Death of Data Viz, Cross-Cultural AI, and AI Auditing
    25:30
  36. 44.
    Prioritizing training data, model interpretability, and dodging an AI Winter
    27:19
  37. 45.
    Building accessible queries, codes, and speech using AI
    21:55
  38. 46.
    AI Meets World: GDPR, the AI Job Apocalypse, and AI’s carbon footprint
    26:58
  39. 47.
    A New Kind of Relationship with AI: Robopets, AI Art, and AI EQ
    24:03
  40. 48.
    The future of data according to predictions, Python 3.0, and people.
    26:41
  41. 49.
    Culpability in AI failures, Fooling NNs with NNs, AI for cancer screenings, and Epsilon Greedy Multi-Armed Bandits
    22:57
  42. 50.
    Biased Data & the Perfect Answer, Multi-Armed Bandits, and the GPUs Behind Your Neural Networks
    32:54

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