Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They cannot process language inputs generally. Industry 4.0 Examples: (1) Wearable health devices (Fitbit). (2)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

FineReport

JUNE 29, 2023

The Internet of Things (IoT) has revolutionized the way we interact with devices and gather data. An IoT dashboard serves as a data visualization instrument that restructures and presents a set of data obtained and transmitted by network-connected devices. IoT dashboards What is IoT Dashboard?

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

OCTOBER 15, 2020

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. In the following animation, we create a few different visualizations based on fields from both tables.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

AUGUST 29, 2022

It mentions the completeness of data (as opposed to sampling), the power to quantify and digitize new formats of information that were previously inaccessible, as well as the ability to use new databases (like Hadoop and NoSQL) and statistical tools (machine learning and data mining) to describe huge quantities of data.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361