Smart Data Collective

FEBRUARY 4, 2021

YouTube was launched in 2005, when big data was just a blip on the horizon. You can better track your expenses with machine learning tools that help you identify areas where you are overspending on video marketing campaigns. Big data is changing the future of video marketing forever. Know Who You Want To Target.

Data-driven 84

Data-driven Marketing Big Data Data mining 84

Smart Data Collective

FEBRUARY 28, 2023

Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. However, machine learning can also help financial professionals as well. How Does Machine Learning Impact Risk Parity?

Machine Learning 85

Machine Learning Risk Cost-Benefit Marketing 85

CIO Business Intelligence

NOVEMBER 23, 2022

This has become a priority for businesses that are trying to keep up with new technologies such as the cloud, IoT, machine learning, and other emerging trends that will prompt digital transformation. It’s designed for the U.S. government, but it can also be applied to private companies that want to use the framework.

Enterprise 121

Enterprise Cost-Benefit Digital Transformation Strategy 121

Insight

APRIL 16, 2019

Data breaches have been on the rise since 2005, exposing sensitive information from billions of users. InfoSec teams dedicated to anti-abuse and data privacy are using recent advances in machine learning and engineering to help secure their services. from computer science leaders to Fortune 500 executives to the White House?—?

Machine Learning 68

Machine Learning Software Risk Reporting 68

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. But for most enterprise, using machine learning…not really.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Sisense

MARCH 26, 2021

Luma Health has leveraged analytics to help fight the COVID-19 pandemic, using machine learning and AI to enable healthcare providers and their staff to better communicate with and listen to patients, improve appointment scheduling, and implement screening solutions to patients.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. After five minutes of seeing these products back then, I just knew they would change everything!

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

BizAcuity

MAY 10, 2022

2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

JULY 1, 2021

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. nunique())).

Modeling 111

Modeling Statistics Testing Metrics 111

The Unofficial Google Data Science Blog

JULY 18, 2023

2005) Partitioning variation in multilevel models (Goldstein et al., Understanding statistics: statistical issues in psychology, education, and the social sciences, 1(4), 223-231) Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks (Northcutt, et al., Instead, we measure with error.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

CIO Business Intelligence

MAY 7, 2024

Still, CIOs should not be too quick to consign the technologies and techniques touted during the honeymoon period (circa 2005-2015) of the Big Data Era to the dust bin of history. But many execs suffer from “data defeatism,” erroneously thinking that data value is dependent on having degrees in math, statistics, or machine learning.

Big Data 125

Big Data Statistics Machine Learning Data Science 125

Edwin Chen

SEPTEMBER 29, 2011

Classification (machine learning) 0.322. Freakonomics (2005 Book) 0.307. Machine Learning 0.326. Book Recommendations 0.33. Engineering Recruiting 0.33. Search Engines 0.329. Social Search 0.329. Data Science 0.328. History 0.328. Interaction Design 0.326. Startup Incubators and Seed Programs 0.321. Writing 0.319.

Finance 81

Finance Interactive Machine Learning Advertising 81