Data Science

An exclusive sneak-peek at a revolutionary new method for training neural networks — My good friend and humble genius Dr Danko Nikolić recently shared an unpublished paper with me, thinking I might be interested. Was I ever. Reading it made me feel like I was witnessing a historic moment before anyone else did, and I was immediately bursting to share. Thankfully, Danko agreed…

DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a clustering algorithm that groups together points that are close to each other based on a density criterion. In contrast with other Clustering models such as K-means, DBSCAN can identify clusters of arbitrary shapes and does not require the number of…

Effortless data deduplication at scale. — In today’s data-driven world, the importance of high-quality data to build quality systems cannot be overstated. The availability of reliable data is highly critical for teams to make informed decisions, develop effective strategies, and gain valuable insights. However, at times, the quality of this data gets compromised by various factors…

Building a machine learning model for lead routing: Collect data: Data must be collected from various sources, such as our Salesforce CRM, web analytics, marketing automation systems, social media, and other relevant sources. This script assumes that all of our Salesforce and Adobe Analytics data is ingested into a Snowflake…

As a senior data scientist, I’ve seen my fair share of presentations — both good and bad. So, I thought it was about time to put together some guidelines that have helped me make my presentations more effective, engaging, and enjoyable. Before we get started, let me just say that…

Data mining framework: