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Model Drift: What Is It and How to Prevent It
6 min

Model Drift: What Is It and How to Prevent It

  • By Eugene Evdokimov
  • February 26, 2023

Model drift refers to the change in the statistical properties of the target function that a machine learning model is trying to approximate. This can happen…

Data Drift: Types, Detection Methods, and Mitigation
7 min

Data Drift: Types, Detection Methods, and Mitigation

  • By Eugene Evdokimov
  • February 26, 2023

What Is Data Drift?  Machine learning models are only as good as the data they ingest during and after training. Data drift refers to a change…

DDC – Direct Data Connectors: Monitoring ML Models at Scale
5 min

DDC – Direct Data Connectors: Monitoring ML Models at Scale

  • By Eugene Evdokimov
  • January 5, 2023

Intro We are excited to announce Direct Data Connectors (DDC), a novel way to monitor your Machine Learning models in production by connecting directly to your training and inference…

Target, Walmart, Macy’s & Kohl’s: Demand Forecasting in a Dynamic World
10 min

Target, Walmart, Macy’s & Kohl’s: Demand Forecasting in a Dynamic World

  • By Eugene Evdokimov
  • December 25, 2022

Demand Forecasting ML models present huge potential for retailers to generate a lot of revenue and streamline the business. While almost all big retailers use such…

Machine Learning: Concepts, Algorithms, and Real-World Applications
13 min

Machine Learning: Concepts, Algorithms, and Real-World Applications

  • By Eugene Evdokimov
  • November 23, 2022

What Is Machine Learning? Machine learning is a technological field that focuses on systems that can learn from and make predictions based on data. It forms…

Ultimate Guide to MLOps: Process, Maturity Path and Best Practices
13 min

Ultimate Guide to MLOps: Process, Maturity Path and Best Practices

  • By Eugene Evdokimov
  • November 23, 2022

What is Machine Learning Operations (MLOps)? Machine learning (ML) models can provide valuable insights, but to be effective, they need to continuously access and efficiently analyze…

Machine Learning Models: 4 Real Life Challenges and Solutions
10 min

Machine Learning Models: 4 Real Life Challenges and Solutions

  • By Eugene Evdokimov
  • November 21, 2022

What Is a Machine Learning Model?  A machine learning model is a program that finds patterns and makes decisions in new datasets, based on observations from…

SHAP: Are Global Explanations Sufficient in Understanding Machine Learning Predictions?
5 min

SHAP: Are Global Explanations Sufficient in Understanding Machine Learning Predictions?

  • By Eugene Evdokimov
  • September 29, 2022

After training a machine learning (ML) model, data scientists are usually interested in the global explanations of model predictions i.e., explaining how each feature contributes to…

Permutation Importance (PI) : Explain Machine Learning Predictions
7 min

Permutation Importance (PI) : Explain Machine Learning Predictions

  • By Eugene Evdokimov
  • September 8, 2022

The increasing complexity of machine learning (ML) models demands better explanations of how predictions are made, and which input features are most important in a model’s…

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