ModelOp Blog

Machine Learning Model Interpretation

To either a model-driven company or a company catching up with the rapid adoption of AI in the industry, machine learning model interpretation has become...

Matching for Non Random Studies

Experimental designs such as A/B testing are a cornerstone of statistical practice. By randomly assigning treatments to subjects, we can test the effect of a...

Distances And Data Science

We’re all aware of what ‘distance’ means in real-life scenarios, and how our notion of what ‘distance’ means can change with context. If we’re talking...

Communicating between Go and Python or R

Data science and engineering teams at Open Data Group are polyglot by design: we like to choose the best tool for the task at hand....

An Introduction to Hierarchical Models

In a previous post we gave an introduction to Stan and PyStan using a basic Bayesian logistic regression model. There isn’t generally a compelling reason...

Machine Learning and Technological Explosion

In recent years, as commercial capital nourishing technology development, many technologies that challenge humanity are subverting human society: internet giant monopoly, DNA editing, artificial intelligence,...

Building a Recommender System

Recommender systems are one of the most prominent examples of machine learning in the wild today. They determine what shows up in your Facebook news...

Tropical Geometry and Neural Networks

Algebraic geometry is not a subject that often arises in conversations around data science and machine learning. However, recent work in the field of tropical...

When (not) to Lemmatize or Remove Stop Words in Text Preprocessing

Natural language text is messy. It’s full of disfluencies (‘ums’ and ‘uhs’) or spelling mistakes or unexpected foreign text, among others. What’s worse, even when...

A Modeling Solution for Every Enterprise

We have the experience and solution to help you harness the power of AI/ML at scale that will boost your core processes. Let’s create a unique solution together.

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