IBM Big Data Hub

AUGUST 9, 2023

For many companies, however, their applications are their business, and the lack of an observability framework can limit their ability to diagnose issues and optimize systems in a timely manner. Even a simple web application can benefit from observability by implementing basic logging and metrics.

Metrics 67

Metrics Interactive Software Data-driven 67

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality is built on DeeQu , an open source tool developed and used at Amazon to calculate data quality metrics and verify data quality constraints and changes in the data distribution so you can focus on describing how data should look instead of implementing algorithms.

Data Quality 89

Data Quality Measurement Testing Visualization 89

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). Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

Occam's Razor

JANUARY 2, 2013

Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. On top of the graph click on Select A Metric and choose Goal Conversion Rate. Change the metric on top of the page to Goal Values and bam!

Strategy 159

Strategy Analytics Reporting Metrics 159

Occam's Razor

MAY 14, 2012

Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. There are many different tools, both online and offline, that measure the elusive metric called brand strength. They are full of specific insights you can use to optimize your online search campaigns. Five Caveats! These are just brand queries.

Measurement 128

Measurement Analytics Advertising Marketing 128

AWS Big Data

JUNE 28, 2023

read replicas, federated query, analytics accelerators) Move the data to a data store optimized for running analytical queries such as a data warehouse The zero-ETL integration is focused on simplifying the latter approach. They would like to get these metrics in near-real time using a zero-ETL integration. or higher version) database.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

AWS Big Data

MARCH 11, 2024

Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). For optimized performance of the streaming materialized view and to reduce storage usage, occasionally purge data from the materialized view using delete , truncate , or alter table append.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

The Unofficial Google Data Science Blog

JUNE 30, 2016

It should be noted that inverse probability weighting is not generally optimal (i.e., We do this by describing the methods in terms of loss functions whose expectation is optimized at the true value of the propensity score. the curse of dimensionality).

Statistics 44

Statistics Optimization Modeling Experimentation 44

AWS Big Data

MARCH 21, 2024

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. They would like to get these metrics in near real time using a zero-ETL integration.

Data Warehouse 87

Data Warehouse Metrics Optimization Statistics 87

The Unofficial Google Data Science Blog

AUGUST 27, 2019

This problem can be phrased as an optimization problem — given some fixed review capacity how should we sample videos? Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case.

Machine Learning 122

Machine Learning Visualization Data Science Metrics 122

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. So what do you have?

Marketing 147

Marketing Advertising Strategy Optimization 147

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. First, we define a function that will perform a grid search for the optimal hyperparameters of the classifier. Offsetting the threshold (threshold moving) is a standard technique for improving the predictions by finding an optimal interpretation of the probabilities produced by the classifier.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

AWS Big Data

MAY 19, 2023

Analytics professionals are tasked with deriving value from data stored in these distributed systems to create better, secure, and cost-optimized experiences for their customers. A common use case with this data would be to gather usage metrics on principals acting on your account’s resources for auditing and regulatory needs.

Machine Learning 82

Machine Learning Metrics Management Big Data 82

Domino Data Lab

JULY 22, 2019

I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. Machine learning is a subset of mathematical optimization.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. You can cut yourself with it and embarrass yourself, or you can look the very best you ever have by using it optimally. Second, between 2012 and 2013. We still live in an world where we are optimize for single visit sessions.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Sisense

DECEMBER 11, 2019

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. From a startup in 2012, it is now valued at $3.2 Optimizing data pipelines: How Kongregate uses Periscope Data. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. Looking at metrics of interest computed over subpopulations of large data sets, then trying to make sense of those differences, is an often recommended practice (even on this very blog).

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

SEPTEMBER 9, 2019

For example, with those open source licenses we can download their text, parse, then compare similarity metrics among them: In [12]: pairs = [?. ["mit", "asl"],?. ["asl", "bsd"],?. ["bsd", "mit"] ?]? ?for …. One common use case for natural language work is to compare texts. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110