Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183

Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183

Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the intriguing paradoxes of data science, discussing how these paradoxes can impact the accuracy of machine learning models and providing insights on how to mitigate them.

Pierpaolo shares his expertise on causal reasoning in machine learning, drawing from his master's research and contributions to Towards Data Science and other notable publications. He elaborates on the complexities of data modeling during the early stages of the COVID-19 pandemic, highlighting the use of simulation and synthetic data to address data sparsity.

Throughout the conversation, the focus remains on the importance of understanding the underlying system being modeled, the role of feature engineering, and strategies for avoiding common pitfalls in data science. Whether you are a seasoned data scientist or just starting out, this episode offers valuable perspectives on enhancing the reliability and interpretability of your machine learning models.

Tune in for a deep dive into the paradoxes of data science, practical advice on feature interaction, and the importance of accurate data representation in achieving meaningful insights.


Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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Tensorflow.js with Gant Laborde - ML 028

Tensorflow.js with Gant Laborde - ML 028

Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript. Panel Charles Max Wood Guest Gant Laborde Sponsors Dev Influencers Accelerator Links Learning TensorFlow.js by Gant LabordeLearning TensorFlow.js: Powerful Machine Learning in JavaScript  by Gant LabordeTwitter: Gant Laborde ( @GantLaborde )gantlaborde.com Picks Charles- monday.comCharles- The Sales Development Playbook Trish BertuzziGant- Antifragile by Nassim Nicholas Taleb Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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BONUS: Relationships Matter Most

BONUS: Relationships Matter Most

Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those relationships. He also explains that you get out of relationships what you put into them. Finally, he goes into how to begin to build relationships by building a system of influence you can use on behalf of the people you want relationships with. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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ML 027: Staying Current in Machine Learning

ML 027: Staying Current in Machine Learning

Miguel and Chuck discuss how to stay current in the rapidly changing world of Machine Learning and Artificial Intelligence. They go over how to pick books, newsletters, podcasts, and other resources to up your Machine Learning knowledge and skills. Panel Charles Max WoodMiguel Morales Sponsors Dev Influences Accelerator Picks Charles- The Umbrella AcademyCharles- The Sales Development PlaybookMiguel- Deep Reinforcement LearningAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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BONUS: How Opportunities Come Your Way When You're an Influencer

BONUS: How Opportunities Come Your Way When You're an Influencer

Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

16 Huhti 202120min

BONUS: How Opportunities Come Your Way When You're an Influencer

BONUS: How Opportunities Come Your Way When You're an Influencer

Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

15 Huhti 202122min

BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?

BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?

Charles Max Wood started podcasting because it sounded fun and because he wanted to talk about technology. He learned pretty quickly that it got him access to people who understood the things he wanted to learn. The reasons changed over the years, as Charles explains before he talks about the big payoff he gets now from doing the podcasts. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

9 Huhti 202131min

ML 026: Sweetviz with Francois Bertrand

ML 026: Sweetviz with Francois Bertrand

Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Francois explains how he built it and how to use it for these types of uses. Panel Charles Max WoodMiguel Morales Guest Francois Bertrand Sponsors Dev Influencers Accelerator Links FRANCOIS BERTRAND | DATA VISUALIZATION DESIGNER Picks Charles- Dev Influencers | Devchat.tvCharles- Teachable: Create and sell online course and teachingCharles- Walkie Talkie App for Team Communication | VoxerCharles- ThriveCartCharles- ScreenFlowFrancios- Featuretools | An open source python framework for automated feature engineeringMiguel- Deep Unsupervised Learning -- Berkeley Spring 2020Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

8 Huhti 202153min

BONUS: How Jason Weimann Became a Game Developer

BONUS: How Jason Weimann Became a Game Developer

Jason Weimann started out as an enthusiast of the Massively Multiplayer Online Role Playing Game, Everquest. After becoming a software developer and building a collaborative community playing the game, learn how he used his connections to get a job working for the company that made the game, even if it wasn't a job working as a game developer and how that led to a career working on one of the most popular online games of the time. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

2 Huhti 202139min

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