Adventures in Machine Learning

A weekly podcast about machine learning

About the show

  Seasoned pro or complete beginner, everyone can join our weekly Adventures in Machine Learning podcast.  We're covering all the breakthroughs, influencers, and resources of Machine Learning with our venturesome AI panel and guests.  We discuss advanced concepts in plain English. This is the AI podcast you've been looking for.

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  • Cows, Camels, and the Human Brain - ML 058

    January 20th, 2022  |  44 mins 38 secs

    What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.

  • Business Objectives and KPIs with Michael Berk

    January 6th, 2022  |  42 mins 47 secs

    Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their game. The two emphasize what your FIRST step should be, why A/B testing is not just for marketers, and the “elephant in the room” that determines how KPIs should be integrated.

    “It’s the chicken or the egg problem. It’s important to think about what model you’ll potentially use as you build out these pipelines. Step 1 is defining the business objective.”

    • Michael Berk

    In This Episode:
    Before you focus on the pipeline or the model, Michael warns you to put THIS first on your checklist
    Why A/B testing is SO powerful and not just for marketers
    The #1 takeaway that will change how you implement KPIs
    Michael hammers home why “your data is only as good as your model” and why there’s no shortcut around it
    The “elephant in the room” that determines the what, who, and how of data analysis in any business

  • Prediction Intervals - ML 056

    December 16th, 2021  |  34 mins 54 secs

    Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence.

    Michael and Ben discuss how to put it together and how to use it.

  • 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS

    December 14th, 2021  |  1 hr 5 mins

    Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and he shares his expertise with Chuck and the listeners in this special episode.

    Chuck and Mani discuss what it takes to be a successful entrepreneur. They talk about their businesses on a regular basis and Chuck's been getting a lot of requests for entrepreneurship help.

    He and Mani talk about the 3 primary things that add momentum to your business and help you keep the momentum up when setbacks come your way.

  • How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055

    December 2nd, 2021  |  1 hr 1 min

    Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications.

    They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build engines and provide data and results to web and mobile developers.

  • BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

    November 25th, 2021  |  47 mins 22 secs

    Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time.

  • Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054

    November 18th, 2021  |  55 mins 29 secs

    Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning.

    However, the conversation meanders through his background, what qualifications people should have, algorithms, and approaches to machine learning along with the tools discussion.

  • A/B Testing with ML ft. Michael Berk - ML 053

    November 11th, 2021  |  48 mins 43 secs

    Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.

  • Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052

    November 4th, 2021  |  58 mins 23 secs

    Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people make about their datasets. Ben, Chuck, and Pier dive into how to look at statistical data and how to identify trends in the data.

  • Testing Your MLOps - ML 051

    October 28th, 2021  |  56 mins 27 secs

    The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good testing practices around your code and systems and discuss how you can reliable test the various parts of your applications including your Machine Learning models.

  • Deploying Your Machine Learning Models with FastAPI ft. Ahmad Mustafa Anis - ML 050

    October 21st, 2021  |  52 mins 1 sec

    Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI.

    FastAPI is a system for connecting and running Python programs. If your model is built in Python, you can use FastAPI to deploy to Heroku or similar services.

  • Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049

    October 14th, 2021  |  47 mins 36 secs

    Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to determine where data problems occur, what they mean, and how to fix them.