Smart Data Collective

FEBRUARY 14, 2023

This includes utilizing personalization technology, which relies heavily on machine learning. People use it to send messages, photos, and videos that disappear after 24 hours or interact with creative camera filters. In 2009, the company launched a mobile app that lets users order meals from any of its stores across the globe.

Risk 115

Risk Technology Optimization Machine Learning 115

Smart Data Collective

APRIL 5, 2019

The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others. For example, the company Tweetdeck was ahead of their game when they recognized the need for businesses to engage with their customers back in 2009. Why is this so important?

Big Data 79

Big Data Interactive Data-driven Metrics 79

Domino Data Lab

JUNE 8, 2021

The intuition here is that a decision boundary that leaves a wider margin between the classes generalises better, which leads us to the key property of support vector machines — they construct a hyperplane in a such a way that the margin of separation between the two classes is maximised (Haykin, 2009). Machine learning: Ecml-98 (pp.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

bridgei2i

APRIL 16, 2021

He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. And I still have to come to terms with the fact that he had published his first paper on machine learning when I was in the seventh standard. Anil: It was a pleasure to interact with you, Divyansh.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

CIO Business Intelligence

JUNE 26, 2023

Between the host of regulations introduced in the wake of the 2009 subprime mortgage crisis, the emergence of thousands of fintech startups, and shifting consumer preferences for digital payments banking, financial services companies have had plenty of change to contend with over the past decade. But there’s an opportunity in this shift.

Data-driven 98

Data-driven Insurance Risk Risk Management 98