Dominik Haitz

Build great things every day

Dominik Haitz

Regularization for Machine Learning Models

July 25, 2019 • ☕️ 1 min read

Data ScienceMachine LearningStatisticsPythonRegularization

L1 Lasso, L2 Ridge and L1+L2 Elastic Net regularization explained

Increasing the Impact of Your Machine Learning Model

June 21, 2019 • ☕️ 2 min read

Machine LearningData ScienceBusinessProductivityWorkflow

With all the media hype and the latest developments in the academic machine learning community, it sometimes feels like this is everything that matters: Typically, industry machine learning projects…

Agile (Data)Science

April 17, 2019 • ☕️ 1 min read

Data ScienceAgileAcademiaMachine LearningScientific Method

This post is about two things a (data) scientist typically comes along with: a scientific mindset, which is incredibly valuable, and an “academic working style”, which can be a major handicap. A…

Building a Great Data Product

April 13, 2019 • ☕️ 3 min read

Data ScienceAgileSuccessProduct ManagementProject Management

Closely cooperate with key stakeholders from your organization. Understand your clients. Ask them: What are their goals, what do they need? What is holding them back? How could data help them…

Creating and Deploying a Python Machine Learning Service

April 8, 2019 • ☕️ 4 min read

DockerData ScienceDeploymentPythonMachine Learning

Imagine you’re the moderator of a message board or comment section. You don’t want to read everything your users write online, yet you want to be alerted in case a discussion turns sour or people…

The Third Wave Data Scientist

April 6, 2019 • ☕️ 5 min read

Data ScienceMachine LearningBusinessPersonal DevelopmentCommunication

Drew Conway’s visualization of the data science skill set is an often cited classic. Different opinions and the versatility of the role have spawned numerous variations: There seems to be no…

Jupyter Notebook Best Practices

March 27, 2019 • ☕️ 2 min read

Data ScienceJupyterJupyter NotebookPythonProductivity

Caveat: The advice in this article refers to the original Jupyter notebook. While much of the advice can be adapted to JupyterLab, the popular notebook extensions can’t. Good software engineering…