datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. billion in 2017 to $190.61 Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

Ontotext

MAY 18, 2020

As of 2017, the fastest computers have reached a speed of 93 PetaFLOPS, which is: 93×1015, or 93,000,000,000,000,000 operations per second. THE ROLE OF TEXT IN HEALTHCARE: Text is a unique resource because medical reports carefully describe the diagnosis associated with multimodal and multimedia data and also the relevant image content.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

The Unofficial Google Data Science Blog

APRIL 17, 2017

They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. If unaccounted for, these data points can have an adverse impact on forecast accuracy by disrupting seasonality, holiday, or trend estimation. Accessed on 20 March 2017. and George Athanasopoulos.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Data Science and Beyond

JUNE 2, 2017

Last year, I wrote about the Reef Life Survey (RLS) project and my experience with offline data collection on the Great Barrier Reef. Since publishing that post, I have improved the flashcards and built a tool for exploring the aggregate survey data. The RLS manual includes all the details on how surveys are performed.

Data Collection 58

Data Collection Testing Data Processing IT 58

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Katherine Twomey, Gert Westermann (2017). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

O'Reilly on Data

DECEMBER 19, 2018

Given the rate at which data is created, data collection has to be automated. How do you do that without dropping data? Given that the results produced by any model will reflect the data used to create the model, how do you ensure your data collection process is fair, representative, and unbiased?

Machine Learning 266

Machine Learning Software Metadata Testing 266

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

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports. The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. This is not the future, it is Nov 2017. This is normal.

Marketing 136

Marketing Analytics Machine Learning Strategy 136