CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 134

Data Analytics Diagnostic Analytics Management Analytics 134

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps and IBM Watsonx.ai

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

The Unofficial Google Data Science Blog

APRIL 23, 2024

Figure 4: Visualization of a central composite design. G - Reference, Information and Interdisciplinary Subjects Series, Harvard Business Review Press, 2015. [9] Brazilian Journal of Probability and Statistics, 29(1):53 – 70, 2015. [21] Improving the sensitivity of online controlled experiments by utilizing pre-experiment data.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. 2015) for additional details. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

DECEMBER 28, 2021

While certain topics listed here are likely to stir emotion depending on one’s point of view, their inclusion is for data demonstration purposes only. 29, 2015, Republicans from the U.S. Here they speak about two use-cases in which COVID-19 data was used in a misleading way. 3) Data fishing. But this didn’t come easy.

Statistics 363

Statistics Advertising Visualization Data mining 363