AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. In this model, the Lambda function is invoked for each incoming event. This method uses GZIP compression to optimize storage consumption and query performance.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Sisense

JULY 23, 2021

While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused Using data to create a more modern Olympics.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). a “pre-trained” model) to be recycled and reused for many different tasks. We pass 3 parameters: loss, optimizer , and metrics. Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Who builds their models? Management.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

APRIL 17, 2017

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Finally, the time series model may give more accurate forecasts than an explanatory or mixed model.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. Be skeptical, intellectually honest.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

OCTOBER 15, 2012

Please visit the about page to learn more about the data collection methodology, sample sizes, and the Enumeration study to ensure results are representative, and to download the detailed questionnaires used for each study. Think of it as attribution modeling. :). You can also plot a lot of data by continents.

Advertising 136

Advertising Marketing Strategy Insurance 136