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:
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!
These articles have resonated most with readers and represent core themes of my work:
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.
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:
or try out this evergreen:
When text isn't enough, I create visual walkthroughs of complex concepts:
Browse all posts about machine learning or explore specific topics:
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:
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Solid programming skills form the foundation of effective data science work. Here are resources to sharpen your technical abilities:
Beyond algorithms and models, clean, maintainable code determines your long-term effectiveness. My programming content emphasizes:
Looking to improve your development environment? Check out these popular resources:
How about some visual tips on Python and programming?
Browse all Python posts or explore specific programming topics:
My programming content includes:
I maintain curated lists of:
Learn systems and tools that multiply your effectiveness as a researcher, developer, or data scientist.
Productivity isn't just about doing more - it's about achieving meaningful results while maintaining balance. My approach focuses on:
or try out this evergreen:
My content is built around these core principles:
See productivity systems in action:
Browse all productivity posts or explore specific efficiency topics:
My productivity content includes:
Navigate the complex landscape of tech and research careers with practical advice and strategies.
A successful career in tech requires more than technical skills. My career content addresses:
or try out this evergreen:
Practical guidance for career development:
Browse all career-related posts or explore specific professional development topics:
My career content draws from experience across:
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.
The best way to keep up with new content and resources is through my newsletter:
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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 πͺ