State of Data Science and Machine Learning: Kaggle 2022 Survey
In September, Kaggle released its annual survey for the state of data science and machine learning....
Home » You searched for Data Science Central
Search Results for: Data Science Central
Data Subassemblies and Data Products Part 3 – Data Product Dev Canvas
I received outstanding feedback from many folks in updating the Data Product Development canvas including Jon Cooke, Harsha Srivatsa, Craig (Doc) Savage, Melissa Perry, R...
How Data Visualization is Essential for the Banking and Finance Sector
Representation of data using graphics such as charts, plots, infographics, heat maps, bubble clouds, scatter plots, mekko charts, animation, etc., is termed data visualiz...
Data Management as a Business Discipline – Part 3: Enabling Frameworks
A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, conce...
What is trustable data? Why do you need it?
Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format an...
Top 10 Future Data Analytics Trends in 2023
In an era where the landscape of business is evolving and changing at a rapid pace, data collection & analysis often operate as pivotal factors in shaping the destiny...
Data Subassemblies and Data Products Part 2: Economics and Journey Maps
In Part 1 of the “Building Blocks for Modern Data Management”, I explored two important modern data management concepts: Data Subassemblies and Data Products (F...
AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science
The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high imp...
Best practices to maintain high data quality
With the world’s data multiplying in leaps and bounds, every organization is trying to make better business decisions in marketing, product development, and finance usi...
Declarative Machine Learning Alone isn’t Enough for the Data Science Community
Use cases for ML are seemingly infinite, from automatic responses to queries and automated stock trading, to recommendation engines and customer experience enhancements...