This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Data informs everything in a digital-first world. It is the fuel for enterprise intelligence that helps organizations create new business opportunities and deal with competitive… Read More »DSC Webinar Series: Building Trust in Your Data to Fuel Breakthrough Innovation
As this century progresses, businesses are discovering that the most incredible way to gain the best customer service is to know them deeply. With AI… Read More »Enriching Customer Service Using Sentiment Analysis
How to fix various data issues in a few simple steps? In this first part, I discuss missing, outdated and unobserved data, data that is… Read More »15 Data Issues and How to Fix Them
Data scientists’ time is valuable. Computing resources are expensive. With only 87% of projects ever making it to production (Source: VentureBeat), organizations often overcommit to… Read More »DSC Webinar Series: How to Gauge Project Feasibility With Rapid Prototyping Using Code-First Data Science
In a recent study, The impact of increased digitization on the data science field, the results show that data science professionals spend most of their… Read More »DSC Podcast Series: Ready. Set. Cortex – How a SAS Analytics Simulation Game Fuels Learning
Data Science is a growing field that has emerged in many key areas of our world. Data Science has become a global phenomenon and has… Read More »Education Trends 2022: Data Science in schools
Last week, Databricks open sourced all of Delta Lake (Delta Lake 2.0) to the Linux Foundation. There is also a new release of MLflow (MLflow… Read More »Databricks open sourcing delta lake is good news for AI
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used… Read More »DSC Webinar Series – Death of the Star Schema.mp4
I wrote this article for machine learning and analytic professionals in general. Actually, I describe a new visual, simple, intuitive method for supervised classification. It… Read More »The Riemann Hypothesis in One Picture
Data annotation is at the forefront of the recent revolution in healthcare AI, driving continuous progress in the field through continuous innovation through the idea… Read More »Datasets and Data Annotation — The Building Blocks for Healthcare AI
