AI accelerates problem-solving in complex scenarios | MIT News
While Santa Claus may have a magical sleigh and nine plucky reindeer to help him deliver presents, for companies like
Evolving Churn Predictions: Navigating Interventions and Retraining | by Tomer Alma | Nov, 2023
Retraining churn models presents unique challenges that need special attention Photo by CrowN on Unsplash Retraining machine learning models, especially
Key Features & 5 Case Studies
The expected size of the conversational AI market is $1.3B by 2025, growing at a CAGR of 24%.1Zoho SalesIQ, as
10+ Best Practices & Real-Life Examples
Research shows that 95% of B2B companies use surveys to measure the voice of customers. Creating an effective B2B survey
Courage to Learn ML: Decoding Likelihood, MLE, and MAP | by Amy Ma | Dec, 2023
With A Tail of Cat Food Preferences Photo by Anastasiia Rozumna on Unsplash Welcome to the ‘Courage to learn ML’.
On Data-Driven Equation Discovery | by George Miloshevich | Dec, 2023
Photo by ThisisEngineering RAEng on Unsplash Describing the nature with the help of analytical expressions verified through experiments has been
Implementing Soft Nearest Neighbor Loss in PyTorch | by Abien Fred Agarap | Nov, 2023
The class neighborhood of a dataset can be learned using soft nearest neighbor loss In this article, we discuss how
Version Controlling in Practice: Data, ML Model, and Code | by Chayma Zatout | Dec, 2023
A Step-by-Step Guide to Versioning in MLOps Photo by Christopher Gower on Unsplash Version control is a crucial practice! Without
Achieving Greater Self-Consistency in Large Language Models | by Anthony Alcaraz | Dec, 2023
When LLMs are used to evaluate qualities like the correctness, accuracy, or relevance of a piece of text, consistency is