Adventures in Machine Learning


Ben Wilson

Michael Berk

Charles Max Wood

Gant Laborde

Daniel Svoboda

Jason Mayes

Beril Sirmacek

Miguel Morales

Francois Bertrand



Jan 27, 2022

Solving the Real Issues with the MLflow Team - ML 059Weichen Xu

If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source lifecycle manager for machine learning. They cover how Databricks is redefining how developers and engineers collaborate, the reason behind Databricks’ crazy success, and the number ONE most important testing structure for any development team.

Jan 20, 2022

Cows, Camels, and the Human Brain - ML 058

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.

Jan 06, 2022

Business Objectives and KPIs with Michael Berk

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.

Dec 16, 2021

Prediction Intervals - ML 056

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.

Dec 14, 2021

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

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.

Charles Max Wood

Mani Vaya
Dec 02, 2021

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

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.

Nov 25, 2021

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

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. He has read hundreds of books that have taught him the secrets to getting more done by getting into this state.

Nov 18, 2021

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

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.

Nov 11, 2021

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

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.

Nov 04, 2021

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

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.

Oct 28, 2021

Testing Your MLOps - ML 051

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.

Oct 21, 2021

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

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.

Oct 14, 2021

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

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.

Oct 07, 2021

The MLOps Community with Demetrios Brinkmann - ML048

Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online meetups. He goes into the community, moderation, running meetups, sponsorships, and much more.

Sep 30, 2021

How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047

Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he helps customers see their way past issues with their current solutions to get the outcomes they want.

Sep 22, 2021

Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046

Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's experience building software. He joins in to talk about how Outsystems approaches exploring and implementing AI to make the lifecycle of software development easier.

Sep 16, 2021

Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045

Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching.

Sep 02, 2021

AI Assisted Development ft. Sydney Lai - ML 044

Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for.

Aug 26, 2021

Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043

Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want.

Aug 19, 2021

From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042

Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career.

Aug 12, 2021

Writing Production Code for ML ft. Ken Youens-Clark - ML 041

Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, and still get ML work done.

Aug 05, 2021

Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040

Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data.

Ben Wilson

Mark Ryan
Jul 29, 2021

Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039

Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do.

Jul 22, 2021

Mentorship in Machine Learning - ML 038

Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he's mentoring to understand Machine Learning more deeply and gives advice on how others could and should drive their career forward with Machine Learning.

Jul 13, 2021

Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037

Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're looking for.