Lars Hulstaert – Medium

Lars Hulstaert

Lars Hulstaert
in
Towards Data Science

Achieving a top 5% position in an ML competition with AutoML

AutoML pipelines are a hot topic. The general goal is simple: enable everyone to train high-quality models specific to their business…

May 2, 2019

Achieving a top 5% position in an ML competition with AutoML

May 2, 2019

Lars Hulstaert
in
Towards Data Science

Machine learning interpretability techniques

Most machine learning systems require the ability to explain to stakeholders why certain predictions are made. When choosing a suitable…

Mar 14, 2019

Machine learning interpretability techniques

Mar 14, 2019

Lars Hulstaert
in
Towards Data Science

Common data science pitfalls and how to avoid them

During my studies I had the opportunity to work on several machine learning research projects. These projects ranged from studying…

Jul 20, 2018

Common data science pitfalls and how to avoid them

Jul 20, 2018

Lars Hulstaert
in
Towards Data Science

Understanding model predictions with LIME

In my previous post on model interpretability, I provided an overview of common techniques used to investigate machine learning models. In…

Jul 11, 2018

Understanding model predictions with LIME

Jul 11, 2018

Lars Hulstaert
in
Towards Data Science

Going deep into object detection

With recent advancements in deep learning based computer vision models, object detection applications are easier to develop than ever…

Apr 23, 2018

Going deep into object detection

Apr 23, 2018

Lars Hulstaert
in
Towards Data Science

Going deep into image classification

Learning about the different network architectures for image classification is a daunting task. In this blog post I will discuss the main…

Mar 28, 2018

Going deep into image classification

Mar 28, 2018

Lars Hulstaert
in
Towards Data Science

Interpreting machine learning models

Regardless of the end goal of your data science solutions, an end-user will always prefer solutions that are interpretable and…

Feb 20, 2018

Interpreting machine learning models

Feb 20, 2018

Lars Hulstaert
in
Towards Data Science

Applying transfer learning in NLP and CV

In this blog post I will discuss two applications of transfer learning. I will provide an overview of examples in the field of natural…

Jan 22, 2018

Applying transfer learning in NLP and CV

Jan 22, 2018

Lars Hulstaert
in
Towards Data Science

Transfer learning: leveraging insights from large data sets

In this blog post, you’ll learn what transfer learning is, what some of its applications are and why it is critical skill as a data…

Jan 22, 2018

Transfer learning: leveraging insights from large data sets

Jan 22, 2018

Lars Hulstaert
in
Towards Data Science

Gradient descent vs. neuroevolution

In March 2017, OpenAI released a blog post on evolution strategies, an optimisation technique that has been around for several decades. The…

Dec 20, 2017

Gradient descent vs. neuroevolution

Dec 20, 2017

Lars Hulstaert

Lars Hulstaert

Data Scientist at J&J, ex-Microsoft. Previously Masters student at Cambridge, Engineering student in Ghent. I like connecting the dots.

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