Smart Data Collective

JANUARY 13, 2021

A Gallup poll conducted back in 2010 found that most Internet users were willing to pay for online privacy. They have discovered that their Internet commerce models are particularly dependent on advances in machine learning. However, these data driven strategies require them to collect as much data on their customers as possible.

Big Data 96

Big Data Machine Learning Data-driven Manufacturing 96

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. Models are at the heart of data science. Data exploration is vital to model development and is particularly important at the start of any data science project. Interactive Data Visualization in Python. Introduction. fill=True,).:

Visualization 99

Visualization Interactive Machine Learning Data Science 99

DataRobot

JULY 6, 2021

The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. More recent research, “ Modeling Users’ Activity on Twitter Networks: Validation of Dunbar’s Number ,” has.

Marketing 105

Marketing Sales Data-driven Statistics 105

CIO Business Intelligence

FEBRUARY 26, 2024

Organizations have implemented a variety of workforce models over the last two decades or so, but each has eventually proved to leave them with more questions than answers. Fast forward to today.

Cost-Benefit 98

Cost-Benefit Measurement Strategy Modeling 98

Domino Data Lab

AUGUST 5, 2019

As more companies become model-driven , data scientists are uniquely positioned to drive innovation and to help their companies remain economically strong. the model context ) when building and using models enable data scientists to directly impact business problems. data munging, building models, etc.).

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

Occam's Razor

JULY 26, 2010

Will take you off on a completely different line of inquiry, all from adding June 2009 to look at June 2010. So why is that your mental model? Every true Analysis Ninja focuses on measuring customer behavior of one person (or in our case Unique Visitor) over the entire span of that person's interaction one our website.

Metrics 96

Metrics Measurement Dashboards Reporting 96

Ontotext

AUGUST 22, 2024

Our Knowledge Hub Fundamentals article What is a Knowledge Graph describes how knowledge graphs are more than just simple data graphs because they include a knowledge model that adds three things: formal semantics, descriptions that contribute to each other, and diverse data that is connected and described by semantic metadata. annotation. ?annotation

Contextual Data 69

Contextual Data Metadata Modeling Interactive 69

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though More Policies Emerged” (2010-2018).

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

The Data Visualisation Catalogue

FEBRUARY 12, 2019

Point of view can be interactively controlled and users can fly through 3-D partitionings but global perspectives require external views of the entire hierarchy. Much of this design was done with virtual reality technology in mind, as various 3D interaction techniques were provided and taken into consideration. 42 – 45.

Visualization 41

Visualization Interactive Modeling Technology 41

Mark Raskino

FEBRUARY 25, 2019

By about 2010 or so – digital meant market facing technology, and “IT” meant back office and the internal efficiency use of technology. The systems of record couldn’t cope with the changes the market facing interactive channels were bringing. Digital equaled customer facing. So far, so good. Digital was more exciting.

IT 49

IT Marketing Technology Interactive 49

Occam's Razor

JUNE 11, 2014

What if the first interaction with your brand is digital? According to eMarketer in 2010 we spent 3:11 (hrs:min) on digital content consumption and 4:24 on TV in the US. From a data perspective this is reflected in our obsession with multi-channel attribution modeling or user based visitor segmentation. See-Think-Do YouTube.

Marketing 151

Marketing Strategy Sales IT 151

Ontotext

DECEMBER 30, 2022

We have exciting success stories, including the first and popular mission critical implementation of knowledge graphs – BBC’s website for the FIFA world cup in 2010. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

We have exciting success stories, including the first and popular mission critical implementation of knowledge graphs – BBC’s website for the FIFA world cup in 2010. With our customers top of mind, especially those new to knowledge graphs, we provided interactive user guides to speed understanding and implementation.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

CIO Business Intelligence

DECEMBER 13, 2022

As it became clear that this technology was suitable for other purposes, the company gave Cassandra to the Apache Software Foundation (ASF), where it became an open-source project (it was voted into a top-level project in 2010). Cassandra’s scalability was impressive, but its reliability also sets it apart among databases.

Broadcasting 59

Broadcasting IoT Data-driven Software 59

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. Offers interactive and shared dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

bridgei2i

AUGUST 11, 2020

You know that, when we went through the last business downturn, 2008 in 2009, funny thing happened in 2010 turnover went up dramatically in sales and because companies started hiring again. There’s also going to be challenges and we have no idea how to model this. And so you’ve got to ask yourself a question.

Sales 98

Sales Enterprise B2B Digital Transformation 98

Occam's Razor

MARCH 23, 2010

As of 2010 I still have a lot more years that I spend in the traditional data warehousing / business intelligence world than in web analytics. The problem is the missing primary keys , and we won't solve it in the near future.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Occam's Razor

AUGUST 28, 2017

The first eye-opening learning for me came from the Google Research team’s post on Learning from Large-Scale Interaction. The team at Google adopted the strategy of having a robot learn own its own (rather than programming it with pre-configured models). Most robots are very robotic because they follow a sense-plan-act paradigm.

Deep Learning 140

Deep Learning Machine Learning Marketing Strategy 140

CIO Business Intelligence

NOVEMBER 20, 2023

The emergence of Siri in 2010 ushered in a new era of conversational assistants. Still, this breed of bot is considered “weak” or “narrow” AI, since it is limited by the length and complexity of verbal interactions; they struggle to discern intent, can’t learn from conversations, and can only perform simple tasks. CEO Robb Wilson.

Machine Learning 123

Machine Learning Data-driven Software Interactive 123

O'Reilly on Data

JANUARY 25, 2021

We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. Models are neither code nor data, and we don’t have adequate tools for versioning models either (though tools like MLflow are a start).

Machine Learning 363

Machine Learning Software Testing Technology 363