I’m the first to admit that most productivity techniques don’t work for me. I read about them, watch videos on YouTube, and sometimes I even start applying them (looking at you, Getting Things Done, with your dozen lists), but they never properly integrate into my daily life. In January this year, I gave productivity advice……
Category: Machine Learning
Intro to Scene Text Recognition – Guide to Image-to-Text Conversion
Recognizing text in a photo – something we’re quite good at, but neural networks struggle quite a bit with it. While OCR (Optical Character Recognition) (OCR Wikipedia) is a fairly well-known concept, the very similar Scene Text Recognition (STR) problem is not talked about as much. It’s always easier to show than to explain, so……
Machine Learning Study Goals – April 2023: Transformer paper & Outlier Detection with Deep Learning
Last month I took a month off from setting study goals and I made basically zero progress on my studies. Admittedly it was also deadline month at work, so time and energy was rare. No matter the reasons, this month I’m back to sharing my goals online to hold myself accountable and to inspire you……
What I learned during my 14 Days Fraud Detection Challenge
The problem: Do you have many topics you would like to study or areas of coding you want to improve, but you can’t decide which is the best to focus on so you end up studying a little bit of everything and never making noticeable progress? Or you end up so overwhelmed that you just……
How to Start Learning Machine Learning: Defining Your Goal First
I often get asked “How do I get started with Machine Learning? What do I learn first?” and I really want to help out, but there is a big problem here: I think this is the wrong question to ask. Let’s tackle why I think this is the wrong question and what you can ask……
Completing a Data Science Project in 14 days – Fraud Detection Challenge Announcement
I’m challenging myself to do a full data science project on a Kaggle data set in 14 days – including data understanding, preprocessing, modeling and evaluation. I’m sharing this to make sure I actually do it and to show a realistic portrayal of what is possible in 14 days if you’re not a Kaggle grandmaster.……
Machine Learning Study Goals – January 2023: SHAP paper & getting started with Scala
In this monthly post, I tell you what I plan to study or improve on in the area of machine learning (including an update at the end of the month). Oh, and if you want to receive (bi)weekly updates on how I’m doing with these goals, consider subscribing to my newsletter 😉 Goal 1: Read……
Machine Learning Study Goals – November 2022: Back to projects and exploration
In this monthly post, I tell you what I plan to study or improve on in the area of machine learning (including an update at the end of the month). Last month was a bit … non-optimal. So this month I’m learning from my experience and going back to practical goals despite loving theory. Let’s……
Time Series Analysis and Forecasting – An Introduction
You need to analyze a time series but have no idea where to start? Then you’re in the right place. In this post, I give you a rough overview and pointers on what to learn next for your specific problem. Here you can see an example time series of monthly airline passengers. We will discuss……
3 Lessons from the paper “Attention Is All You Need” as a Beginner
With the recent surge of news about image, or even art, generating AI, I’m sure I’m not the only one who was interested in how this works under the hood. Most of these results are achieved by so-called “transformer” models and even though it seems like they are coming out just now with the huge……