CIO Business Intelligence

JANUARY 19, 2024

It’s recommended that students have knowledge of databases, spreadsheets, statistical analytics, SPSS/SAS, R, quantitative methods, and the fundamentals of object-oriented programming and RDBMS. If you’re looking to get into this lucrative field, or want to stand out from the competition, certification can be key.

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations.

Statistics 52

Statistics Data mining Visualization Reporting 52

datapine

MARCH 31, 2022

Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 million in the USA alone. That’s where you come in. What does a profession in this field look like? Why Shift To A Business Intelligence Career?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

JULY 28, 2023

Examples cover code snippets in Python and SQL for both frameworks across three major themes: data preparation, data processing, and data enrichment. The DataStream API supports Java, Scala, and Python and offers primitives for many common stream processing operations, as well as a balance between code verbosity or expressiveness and control.

Data Processing 81

Data Processing Big Data Data Quality Technology 81

DataKitchen

MAY 10, 2021

Before we talk about winning the war against data and analytics errors, let’s review some fundamental DataOps principles: Avoid manual tests. Best practices include continuous monitoring of machine learning models for degradations in accuracy. . And the worst part – data errors take the fun out of data science.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. We’ve been putting together the keynotes and tracks for Rev 2 and I’m super excited about what’s in store. Of course!!”

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66