O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

DECEMBER 4, 2024

The company is looking for an efficient, scalable, and cost-effective solution to collecting and ingesting data from ServiceNow, ensuring continuous near real-time replication, automated availability of new data attributes, robust monitoring capabilities to track data load statistics, and reliable data lake foundation supporting data versioning.

Data Integration 115

Data Integration Data Lake Statistics Data-driven 115

Analytics Vidhya

DECEMBER 16, 2020

This article was published as a part of the Data Science Blogathon. Introduction There are so many performance evaluation measures when it comes to. The post Decluttering the performance measures of classification models appeared first on Analytics Vidhya.

Measurement 306

Measurement Modeling Data Science Publishing 306

CIO Business Intelligence

DECEMBER 9, 2024

In 1987, Nobel prize winning economist Robert Solow famously quipped, You can see the computer age everywhere but in the productivity statistics. These will be across a number of sectors including marketing, publishing, entertainment, and education in both B2C and B2B environments. a month for a subscription service.

Enterprise 116

Enterprise Cost-Benefit ROI Measurement 116

Analytics Vidhya

NOVEMBER 9, 2020

This article was published as a part of the Data Science Blogathon. Overview Challenges if we use the Linear Regression model to solve a. The post Binary Cross Entropy aka Log Loss-The cost function used in Logistic Regression appeared first on Analytics Vidhya.

Data Science 238

Data Science Publishing Modeling Analytics 238

datapine

SEPTEMBER 6, 2022

A content dashboard is an analytical tool that contains critical performance metrics to assess the success of all content-related initiatives. This most insightful of Google Analytics dashboards provide the perfect mix between overview metrics and more detailed insights. Let’s look at some of these metrics in more detail below.

Dashboards 179

Dashboards Reporting Metrics ROI 179

DataRobot Blog

DECEMBER 6, 2022

Bureau of Labor Statistics predicts that the employment of data scientists will grow 36 percent by 2031, 1 much faster than the average for all occupations. Bureau of Labor Statistics. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

DataKitchen

OCTOBER 11, 2021

The automated orchestration published the data to an AWS S3 Data Lake. Statistical Process Control – applies statistical methods to control a process. The same code we wrote to move data from S3 to RedShift or SFTP to S3 or to publish a Tableau workbook can be used across teams, projects and environments.

Testing 154

Testing Metadata Dashboards Statistics 154

datapine

MARCH 18, 2020

and metrics (follows, likes, reach, growth, awareness, post performance, engagements, etc.) Social media marketing reporting is based on a curated collection of data and statistics that are customized based on your business’s social marketing activities and goals. Choose the right metrics. over various time frames.

Reporting 178

Reporting Dashboards Metrics KPI 178

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Ontotext

MARCH 24, 2021

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011.

Statistics 142

Statistics Publishing Data Processing Metrics 142

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Over the life of the forecast, the data scientist will publish historical accuracy metrics. But due to the long time lag between forecasts and actuals, these metrics alone are insufficient.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

Smart Data Collective

JULY 20, 2022

Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy. You can use AI to generate new content.

Marketing 145

Marketing B2B Strategy Statistics 145

AWS Big Data

APRIL 28, 2023

For example, you can configure an Amazon EventBridge rule to invoke an AWS Lambda function to publish CloudWatch metrics every time AWS Glue jobs finish. Each datapoint represents DPUHours per individual job run, so valid statistics for the CloudWatch metrics is SUM. You can review and customize it to suit your needs.

Optimization 122

Optimization Metrics Interactive Data Integration 122

Occam's Razor

FEBRUARY 22, 2010

For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site. Check the definitions of various metrics. numbers for various industries.

Metrics 124

Metrics Advertising Reporting Data Collection 124

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

Occam's Razor

OCTOBER 4, 2010

Ask a famous blogger, a published author, a random twitterer or your mom how to succeed in web analytics, or how not to be a Reporting Squirrel. We read books / blogs on Metrics & KPIs and we think we know what to do for an ecommerce site or a blog or support site etc and we start reporting what the blog / book recommended.

Reporting 119

Reporting Metrics Sales Strategy 119

AWS Big Data

MARCH 21, 2024

The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons. They would like to get these metrics in near real time using a zero-ETL integration.

Data Warehouse 111

Data Warehouse Metrics Statistics Optimization 111

AWS Big Data

FEBRUARY 26, 2025

AWS Glue Data catalog now automates generating statistics for new tables The AWS Glue Data Catalog now automates generating statistics for new tables. These statistics are integrated with a cost-based optimizer (CBO) from Amazon Redshift and Athena, resulting in improved query performance and potential cost savings.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

JUNE 28, 2023

The company’s business analysts want to generate metrics to identify ticket movement over time, success rates for sellers, and the best-selling events, venues, and seasons. They would like to get these metrics in near-real time using a zero-ETL integration. or higher version) database. source) and Amazon Redshift (destination).

Data Warehouse 105

Data Warehouse Analytics Metrics Dashboards 105

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. We need to get to the root of the problem. Model Drift.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

CIO Business Intelligence

OCTOBER 20, 2022

That’s a staggering statistic, and it means that people want to buy from companies that have similar values as theirs, and they’ll also refuse to bring their talents to places that don’t engage in meaningful change. They have published a framework to help leaders know what specific steps they can take right now to make meaningful change.

Snapshot 98

Snapshot Statistics Metrics Publishing 98

IBM Big Data Hub

APRIL 9, 2024

. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. Users can establish risk tolerances and set alerts around a wide variety of metrics. ” Watsonx.ai

Management 78

Management IT Machine Learning Metrics 78

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). The metrics are saved in Amazon S3 to have a persistent output. onData(df).useRepository(metricsRepository).addCheck(

Data Quality 119

Data Quality Visualization Metadata Metrics 119

AWS Big Data

AUGUST 1, 2024

This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. This requires a dedicated team of 3–7 members building and publishing refined datasets in Amazon Redshift.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Occam's Razor

JUNE 8, 2006

You have a inherent ability to hear people and their problems and all the while in your brain you are thinking of 10 interesting ways in which you can slice the Site Overlay or other clickstream metrics to validate. If I get enough different ones I’ll create a new list and publish that (with due credit to you). You guys rock!!).

KPI 94

KPI Measurement Statistics Metrics 94

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. Pertinence and fidelity of metrics developed from Data. There are often compromises to be made in defining metrics.

Statistics 49

Statistics Metrics Data Quality Measurement 49

Insight

JUNE 8, 2020

Mayhem is a gaming analytics company that offers gamers a platform to hold tournaments and see their own statistics inside each game. CloudWatch cannot visualize detailed metrics The most critical issue with CloudWatch is the low refresh rate the default RDS monitoring metrics have?—?they The enhanced metrics In CloudWatch.

Metrics 65

Metrics Testing Dashboards Visualization 65

Smarten

SEPTEMBER 16, 2024

It also provides report formats, publishing tools, alerts and analysis that can be shared by team members to encourage user adoption and collaboration. Print Reports – The IT team can leverage a simple, basic programming or scripting environment to define format templates and produce reports for delivery by email.

Key Performance Indicator 57

Key Performance Indicator KPI Business Intelligence Dashboards 57

AWS Big Data

JULY 27, 2023

Now that you have addressed all data quality issues identified on the sample, publish the project as a recipe. Choose Publish in the Recipe pane, enter an optional description, and complete the publication. Each time you publish, it will create a different version of the recipe. Now you can save and run the job.

Visualization 98

Visualization Cost-Benefit Data Quality Publishing 98

DataRobot

NOVEMBER 9, 2021

“One look is worth a Thousand Words” This phrase was used in 1913 to convey that graphics had a place in newspaper publishing. The dataset also provides centralized and windowed statistics features. More than a hundred years later, this phrase still rings true, especially for data scientists.

Visualization 52

Visualization Unstructured Data Statistics Metrics 52

Cloudera

FEBRUARY 25, 2021

They require a deep enough knowledge of dozens of ML techniques in order to choose the right approach for a given use case, a thorough understanding of everything required to execute on that use case, as well as a solid foundation in statistics fundamentals to ensure their choices and implementations are mathematically sound and appropriate.

Deep Learning 84

Deep Learning Machine Learning Visualization Forecasting 84

IBM Big Data Hub

JULY 28, 2022

To take full advantage metadata enrichments, you’ll want to publish data assets, enriched with metadata‚ to a catalog where users can quickly find and access the right information. The workflow and user experience for discovering, enriching and publishing a large number of data assets from a source to a catalog has been entirely revisited.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

Cloudera

JUNE 28, 2022

This blog will be published in two parts. A dashboard feeds from the Kudu database to show fraud summary statistics. A critical prerequisite for in-stream processing is having the capability to collect and move the data as it is being generated at the point of origin. This is what we call the first-mile problem.

Dashboards 85

Dashboards Machine Learning Statistics KPI 85

Sisense

MARCH 4, 2019

In order to do this, the system first extracts statistical values (data distribution) from the raw data. Once the training is finalized, we use a set of accuracy metrics to evaluate the model’s approximation. Once the NRMSE is converged below a threshold, Hunch publishes a cloud API end-point around the DNN.

Big Data 68

Big Data Data Analytics Analytics IoT 68

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. All these presentations provided rich food for thought, but there was more to follow. Kongregate has been using Periscope Data since 2013.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Octopai

OCTOBER 26, 2022

Continuous pipeline monitoring with SPC (statistical process control). products or product components) are checked to make sure that they do not deviate in a statistically significant way from the expected results. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52