Data Science Blog

The Importance of Machine Learning Model Validation and How It Works

Model valuation is a core component of developing machine learning or artificial intelligence (ML/AI). While it’s separate from training and...

Data Science Model Management Machine Learning Model Development

MATLAB for Data Science and Machine Learning

The opportunities to solve problems with the use of data are greater than ever, and as different industries embrace them, the available data has been...

Data Science Matlab

Data Exploration with Pandas Profiler and D-Tale

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil...

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Explaining black-box models using attribute importance, PDPs, and LIME

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights...

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Reinforcement Learning: The K-armed bandit problem

In a previous blog post we talked about the foundations of reinforcement learning. We covered classical and operant conditioning, rewards, states,...

Code Python Reinforcement Learning

Getting Started with Ray

In this blog post we give a quick introduction to Ray. We talk about the architecture and execution model, and present some of Ray's core paradigms...

Code Engineering High-Performance Computing Ray Python

KNN with Examples in Python

In this article, we will introduce and implement k-nearest neighbours (KNN) as one of the supervised machine learning algorithms. KNN is utilised to...

Machine Learning KNN Python

Supervised vs. Unsupervised Learning: What’s the Difference?

Of all the thousands of algorithms available for machine learning, or ML, the vast majority use one of three main branches of learning techniques. ...

Machine Learning Deep Learning

Simplify data access and Publish Model Results in Snowflake using Domino Data Lab

Introduction Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical...

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Practical Techniques

Fundamentals of Signal Processing

Basics of Digital Signal Processing A signal is defined as any physical quantity that varies with time, space or any other independent variables....

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Accelerating model velocity through Snowflake Java UDF integration

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data...

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Leaders at Work

Fireside Chat: Stig Pedersen from Topdanmark

"In having one or two very successful algorithmic deployments, the business then begins coming to you to ask for assistance. It becomes a mutual...

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Defining Metrics to Drive Machine Learning Model Adoption & Value

One of the biggest ironies of enterprise data science is that although data science teams are masters at using probabilistic models and diagnostic...

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Model Management

How To Deploy and Monitor Machine Learning Models

Machine-learning (ML) deployment involves placing a working ML model into an environment where it can do the work it was designed to do. The process...

Model Management Model Monitoring Model Deployment

The Role of Containers on MLOps and Model Production

Container technology has changed the way data science gets done. The original container use case for data science focused on what I call,...

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Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

Today, we annfnaounced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams....

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Evaluating Generative Adversarial Networks (GANs)

This article provides concise insights into GANs to help data scientists and researchers assess whether to investigate GANs further. If you are...

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Engineering

Production Data Science: Delivering Models with R Markdown

R Markdown is one of those indispensable tools in a data scientist’s toolbox that provides speed and flexibility with the last-mile problem of...

Engineering modelops Domino R Markdown

Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider...

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Tensorflow, PyTorch or Keras for Deep Learning

Data Science