<p>How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice from both Ben and our guest on leveraging software principles to write better code in both an IDE and notebook environment. We&#39;ll also learn about a cool new Databricks feature that will help you run ML code from an IDE.</p><p><br></p><h1>Sponsors</h1><ul><li><a href="https://topenddevs.com/resume" rel="nofollow">Chuck&#39;s Resume Template</a></li><li><a href="https://topenddevs.com/book-club" rel="nofollow">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" rel="nofollow">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><p><br></p><h1>Links</h1><ul><li> <a href="https://docs.databricks.com/dev-tools/vscode-ext.html" rel="nofollow">Databricks extension for Visual Studio Code | Databricks on AWS</a></li><li><a href="https://www.linkedin.com/in/fabianjakobs/" rel="nofollow">LinkedIn: Fabian Jakobs</a></li><li><a href="https://www.linkedin.com/company/databricks/" rel="nofollow">LinkedIn: Databricks</a></li></ul><br/><br/>Advertising Inquiries: <a href='https://redcircle.com/brands'>https://redcircle.com/brands</a><br/><br/>Privacy & Opt-Out: <a href='https://redcircle.com/privacy'>https://redcircle.com/privacy</a>

Deep Learning for Tabular and Time Series Data - ML 104

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.