Smart Data Collective

MAY 8, 2022

Brands are closely working to solve this as they dive deep into the world of big data analytics. Well, don’t go anywhere because, in this article, we will show you how you can use big data analytics combined with AI to achieve the best performance possible. What is the relationship between big data analytics and AI?

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Smart Data Collective

OCTOBER 25, 2023

Aubree Smith has a great article on Sprout Social highlighting the benefits of leveraging them together. Business intelligence typically includes data mining, reporting, data visualization, and performance analytics to provide a clear view of a company’s performance, opportunities, and challenges.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven Metrics 122

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Governance Data Strategy 52

FineReport

MARCH 24, 2024

Given the critical role they play, employers actively seek data analysts to enhance efficiency and stimulate growth. This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience.

Statistics 52

Statistics Data mining Visualization Reporting 52

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. Conference on Knowledge Discovery and Data Mining, pp. Guestrin, C., Why should I trust you?: Bahdanau, D.,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52