Real-world Machine Learning by Jesper Dramsch

3 Translations you need to make in your Academic Resume to apply as a Data Scientist

Jesper Dramsch career, data science, ship30for30, read in 3 minutes

Scientists often already have essential data science skills. It can be hard to see, but when you're at a PhD level or higher you

November 6, 2021

The dangerous reason Social Media companies have an Ethical AI Research section

Jesper Dramsch ethics, machine learning, ship30for30, read in 3 minutes

In December 2020, corporate Ethical AI imploded. Timnit Gebru was fired from Google over a paper that criticised large language models. Shortly after, her

November 4, 2021

These 2 mindset shifts helped in my PhD and might just save you too

Jesper Dramsch career, PhD, ship30for30, read in 2 minutes

5 years ago, I went on a fascinating journey of discovery. My PhD was an interesting experience. While I'm still trying to mitigate the

November 3, 2021

There’s a silent killer in your data.

Jesper Dramsch machine learning, ship30for30, read in 2 minutes

There's a hidden killer in your data. Silently waiting for you to train your machine learning model. Deceiving you even in your validation data

November 2, 2021

The Oscar-winning movie "A Beautiful Mind" about a Nobel Laureate shows why you should value your small open-source contribution

Jesper Dramsch mindset, open source, ship30for30, read in 3 minutes

21 years ago, a mathematician became famous. John Nash was the protagonist of the movie A Beautiful Mind. The movie is based around the

November 1, 2021

How to finally start learning data science and stop worrying if it's the right course

Jesper Dramsch course, data science, ship30for30, read in 2 minutes

Learning data science is hard. But it's made even harder by the fact that new learners are somehow supposed to know what to learn.

October 31, 2021

How to Guarantee No One Understands What You Did in Your Machine Learning Project

Jesper Dramsch machine learning, pydata, ship30for30, read in 3 minutes

Communicating machine learning results has many pitfalls. You can go down the rabbit hole of spitting model stats at your audience. You can estrange

October 30, 2021

Open-source a mystery to you? Here's how I got started.

Jesper Dramsch open source, python, ship30for30, read in 2 minutes

Don't know how to start with open source? That's not a problem. It took me a while to figure out too. In the beginning,

October 28, 2021

This Small Thing about Python No One Notices Can Help You Scale Globally

Jesper Dramsch python, ship30for30, read in 2 minutes

You can immediately tell. The C language was invented in the US. The Python language was invented in Europe. How, you say? Look at keyboards from

October 27, 2021

I Hate Cheatsheets. Here's how they make you a worse programmer and a better alternative.

Jesper Dramsch programming, python, ship30for30, read in 3 minutes

Cheatsheets are the worst, especially in programming. You see them shared all the time. People love them, and influencers love to share them for

October 26, 2021

Anyone Can Build a Neural Network, This Skill Will Set You Apart from Others

Jesper Dramsch communication, machine learning, ship30for30, read in 2 minutes

Nowadays, anyone can train a neural network. Yes seriously. Even with no-code solutions and get very passable results. I've written about imposter syndrome before

October 25, 2021

Top Research Facilities Have a "Software Person" Here's Why You Need One to Stop Wasting Grant Money and Accelerate Research Exponentially

Jesper Dramsch RSE, science, ship30for30, read in 3 minutes

I'm not like most scientists. I love writing code. I enjoy using versioning tools like git. My use of automation tools would make thousands

October 24, 2021

I Got Successful in Machine Learning with This Decision Framework & How it Can Help Your Career Growth

Jesper Dramsch career, job, ship30for30, read in 3 minutes

I'm a machine learning hipster. I got into the field before it was cool in geoscience. Then I was able to grow with the

October 23, 2021

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Real-world Machine Learning page 9