Hi there! I’m Dr. Jesper Dramsch. I write for this blog and do other things around the internet especially when it comes to Python, machine learning, and data science.
Want to know about me first?
My name's Jesper and you can use they pronouns for me. I have a PhD in applied machine learning to geoscience from the Technical University of Denmark with a few publications. I like being on stage and doing cool things. I love to teach what I know, write, write, write, and make awesome videos.
I've been featured in a few places too.
This website can be a bit overwhelming. I know that feeling. Want to know where to start?
I'm here to help you get more productive in your research endeavours and understand machine learning to get ahead. Here’s how:
I put recent developments in machine learning research into real-world context.
I love getting inspired by what the pro’s at Deepmind and Uber are doing. Here's an example, where I wrote about the new approach to nowcasting introduced by Deepmind:
Here you can browse all posts about machine learning.
I wrote a small ebook about applying validation techniques to different types of real-world datasets. Going into short examples how different data types have to be treated to avoid overfitting.
I touch on the topics of:
I made it complementary with a newsletter subscription to my weekly machine learning newsletter, which you'd probably also like.
Subscribe to receive insights from Late to the Party on machine learning, data science, and Python every Friday.
Programming is such an important skill. I think I can share a few interesting and insightful things that will make your life easier.
Here you can browse all posts about Python.
Turns out that these digital tools make you incredibly productive. Explore how to use these to your best ability.
But I also have thoughts about general productivity.
Here you can browse all posts about productivity.
I love communication. Here's a thing I wrote about writing:
Software engineering skills and machine learning are essential in your modern-day toolkit as a researcher. Here you’ll learn how to sharpen the axe.
Here you can browse all posts about careers.
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