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.

Data Science 58

Data Science Machine Learning Cost-Benefit Deep Learning 58

datapine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

SEPTEMBER 4, 2012

But what if we make data collection the primary purpose of our mobile app and then use that data (with permission) to create hyper-targeted, right moment, right time monetization strategies? I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. Measurement? So, why not?

Marketing 144

Marketing Data mining Measurement Strategy 144

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Users can scan the invoice as the background, FineReport designer can accurately locate and place the data according to the background. . Crystal Report uses an accurate measurement. Page Printing .

Reporting 84

Reporting OLAP Dashboards Data mining 84

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. Machine Learning, 57–78.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Smart Data Collective

SEPTEMBER 17, 2020

One new feature is the ability to create a radius, which wouldn’t be possible without the highly refined data mining and analytics features embedded in the core of the Google Maps algorithm. The Emerging Role of Big Data with Google Analytics.

Visualization 132

Visualization Big Data Cost-Benefit Data mining 132

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Remember my stress earlier on measuring micro-outcomes?). Framing the Opportunity.

Metrics 141

Metrics Reporting Analytics Marketing 141

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. For a beginner, it’s a lot in one place.

Key Performance Indicator 98

Key Performance Indicator Business Intelligence Data-driven Metrics 98

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. In 2012, the global mean temperature was measured at 58.2 degrees Fahrenheit.

Statistics 363

Statistics Advertising Visualization Data mining 363

Domino Data Lab

AUGUST 1, 2021

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. Conference on Knowledge Discovery and Data Mining, pp. The implementation of the attribute importance computation is based on Variable importance analysis (VIA). regression, multi-class classification etc.),

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

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.” Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. How to measure the value.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52