Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness.

Predictive Analytics 122

Predictive Analytics Analytics Analytics Decision Trees 122

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. What is Data Science? Definition: Data Mining vs Data Science.

Data Mining 143

Data Mining Data Mining Data Mining Data Science 143

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

Data Science 76

Data Science Analytics Analytics Data Scientist 76

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 54

Machine Learning Machine Learning Data Science Big Data 54

Data Science Blog

NOVEMBER 15, 2023

This aspect can be applied well to Process Mining, hand in hand with BI and AI. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. I did not call it object-centric but dynamic data model.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization. Each applications has its own data model.

Data Science 246

Data Science Azure Power BI Business Intelligence 246