Smart Data Collective

NOVEMBER 24, 2022

Artificial intelligence is playing an important role in modern creative professions. There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments. One of the industries that is evolving by adopting new AI tools in web design.

Visualization 129

Visualization Advertising Marketing Risk 129

KDnuggets

NOVEMBER 24, 2022

Chebyshev’s Theorem applies to every data set and is heavily used by Statisticians, Data Scientists, and Machine Learning Engineers.

Data Science 135

Data Science Machine Learning IT 135

Smart Data Collective

NOVEMBER 24, 2022

The demand for AI and data science professionals is growing all over the world. Many data scientists are pursuing careers in Europe and Asian, which means that they have to be aware of the opportunities and requirements abroad. Italy is one of the most promising countries for people seeking careers in data science. Italian employers spent $78.3 billion on big data last year.

Big Data 110

Big Data Advertising Data Science Marketing 110

Paul Turley

NOVEMBER 24, 2022

Power BI is architected to consume data in a dimensional model, with narrow fact tables and related dimensions. Introducing a big, wide table in a tabular model is extremely inefficient. It takes up space and memory resources, impacts performance, and complicates measure coding. Flattening records into a flat table is one of the worst things you can do in Power BI and a common mistake made by novice Power BI users.

Measurement 89

Measurement Modeling IT 89

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Data Virtualization

NOVEMBER 24, 2022

Reading Time: 4 minutes My previous post explained that, in my mind, the data lakehouse differs hardly at all from the traditional data warehouse architectural design pattern (ADP). It consists largely of the application of new cloud-based technology to the same requirements and constraints. The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part II appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Warehouse 52

Data Warehouse Data Integration Technology Management 52

Dataiku

NOVEMBER 24, 2022

Picture this. It’s 2012 and you’re a data scientist. You have the “sexiest job of the 21st century.” Your boss is impressed with the highly performant algorithms you’ve developed and other departments are in awe of your ability to turn seemingly nonsensical data into actionable business insights. They think you’re a magician, if not a genius at the very least.

Data Science 52

Data Science 52