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This website contains years of content across multiple disciplines. It is my collection of insights, tutorials, and reflections across machine learning, data science, and professional development. Whether you're looking for technical deep dives, career guidance, or just curious about the intersection of AI and other disciplines, you've come to the right place.

Let me be your guide to the most valuable resources based on what you're looking to accomplish:

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πŸ”₯ Choose your adventure! πŸ”₯

Choose Your Path:


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πŸ‘‹ Moin, it's Jesper!

Who Am I?

I'm Jesper and you can use they/them pronouns for me. I earned my PhD in applied machine learning to geoscience from the Technical University of Denmark, where I focused on applications in geoscience resulting in several publications.

I love speaking at conferences, working on innovative projects, teaching, and creating content across multiple platforms:

My work has been featured in respected publications and media outlets.

But enough about me, let's get you back into reading!


🧭 Content Compass

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Finding your Way Around

Regular Features

Reader Favourites

These articles have resonated most with readers and represent core themes of my work:


AI Banner

🧠 Understand Modern AI

I translate complex machine learning research into accessible explanations with real-world context.

Explore the foundations and frontiers of AI through practical guides, technical breakdowns, and real-world applications. My articles range from beginner-friendly introductions to advanced implementation details.

What I Cover

Explore the foundations and frontiers of AI through practical guides, technical breakdowns, and real-world applications. My articles range from beginner-friendly introductions to advanced implementation details. I focus on demystifying AI concepts that often seem intimidating, breaking down:

Recent Posts

or try out this evergreen:

What is the Deepmind Nowcasting paper all about?

Popular Video Explanations

When text isn't enough, I create visual walkthroughs of complex concepts:


Topic Deep Dives

Browse all posts about machine learning or explore specific topics:


Book Cover of ML Validation e-book by Jesper Dramsch

Understanding Machine Learning Validation

e-Book & Newsletter

This practical guide tackles one of the most critical aspects of machine learning: proper validation. Through concrete examples with real-world datasets, you'll learn how to:

  • Recognize and prevent overfitting
  • Implement effective train-test splits
  • Apply cross-validation correctly
  • Use stratification appropriately
  • Handle spatial and temporal data validation

Get this complementary resource when you subscribe to my weekly machine learning newsletter, where I share insights, tutorials, and research breakdowns.

Subscribe to receive insights from Late to the Party on machine learning, data science, and Python every Friday.


Programming Banner

πŸ’» Level Up Your Programming

Solid programming skills form the foundation of effective data science work. Here are resources to sharpen your technical abilities:

What I Cover

Beyond algorithms and models, clean, maintainable code determines your long-term effectiveness. My programming content emphasizes:

Latest Programming Resources:

Looking to improve your development environment? Check out these popular resources:

My 10 Favourite VS Code Extensions

Popular Video Explanations

How about some visual tips on Python and programming?


Topic Deep Dives

Browse all Python posts or explore specific programming topics:

Real-World Examples

My programming content includes:

Community Resources

I maintain curated lists of:


Productivity Banner

⚑ Maximize Productivity

Learn systems and tools that multiply your effectiveness as a researcher, developer, or data scientist.

What I Cover

Productivity isn't just about doing more - it's about achieving meaningful results while maintaining balance. My approach focuses on:

Latest Productivity Insights:

or try out this evergreen:

Perfection is killing your productivity - Try this instead

Productivity Principles

My content is built around these core principles:

Popular Video Walkthroughs

See productivity systems in action:


Tools I Recommend:

My Productivity Tools

Topic Deep Dives

Browse all productivity posts or explore specific efficiency topics:

Real-World Applications

My productivity content includes:


Career Banner

πŸ” Build Your Career

Navigate the complex landscape of tech and research careers with practical advice and strategies.

What I Cover

A successful career in tech requires more than technical skills. My career content addresses:

Latest Career Insights:

or try out this evergreen:

How Do You Get Job Experience When No One is Hiring?

Navigating Common Challenges

Video Career Advice

Practical guidance for career development:


Topic Deep Dives

Browse all career-related posts or explore specific professional development topics:

Industry Perspectives

My career content draws from experience across:


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Navigating This Site

Tags & Categories: Articles are organized by both broad categories and specific tags. Browse categories for thematic exploration or tags for targeted topics.

Search: Use the search function in the top menu to find specific concepts or technologies.

Chronology: The archives provide a historical view of all content, perfect for seeing how topics have evolved.

Stay Connected

The best way to keep up with new content and resources is through my newsletter:

Subscribe to receive insights from Late to the Party on machine learning, data science, and Python every Friday.

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Start Your Journey Today

Whether you're just beginning your machine learning journey or looking to refine advanced skills, I've created resources to help at every stage.

Pick a starting point that matches your current goals, and don't hesitate to reach out if you have questions or topic suggestions!

This site grows and evolves as I do. My hope is that you'll find something valuable here, whether you're a seasoned practitioner or just beginning your journey in data science and AI.


You made it to the end, have a cookie πŸͺ