Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140

Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper formatting and consistency in Python code to the challenges of changing organizational culture, they explore the impact of code quality on team dynamics and project success. They emphasize empathy, communication, and the power of a positive vision to drive change. Tune in to gain insights on tackling diverse problems, the role of documentation, and the significance of modularization in codebases. Join them as they navigate the world of development and seek to create a positive work environment where clear, understandable code thrives.
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BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working

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

Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to...

25 Marras 202147min

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

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 qu...

18 Marras 202155min

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

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 setu...

11 Marras 202148min

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

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...

4 Marras 202158min

Testing Your MLOps - ML 051

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 ...

28 Loka 202156min

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

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 P...

21 Loka 202152min

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

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. Panel ...

14 Loka 202117min

The MLOps Community with Demetrios Brinkmann - ML048

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 mu...

7 Loka 202157min

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