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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Jaksot(209)

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

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 out...

30 Syys 20211h 9min

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

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 explor...

22 Syys 20211h 2min

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

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 ...

16 Syys 20211h 20min

AI Assisted Development ft. Sydney Lai - ML 044

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. Panel Ben W...

2 Syys 20211h 16min

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

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 us...

26 Elo 20211h 7min

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

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. Ben Wilson also gets asked about th...

19 Elo 202149min

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

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 effici...

12 Elo 20211h 9min

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

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. He walks Ben Wilson through the ins and ou...

5 Elo 202149min

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