The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. And we can keep repeating this approach, relying on intuition and luck.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

FineReport

MARCH 7, 2024

Pattern Recognition The goal is data cleansing, transforming unstructured data into structured data for statistical purposes, data exploration, pattern recognition, and the formulation of viewpoints for data analysis reports. These reports distill viewpoints for guiding operations based on statistics, hotspots, and audience analysis.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

CIO Business Intelligence

JANUARY 15, 2024

Sales statistics Two recent surveys concur that only a tiny minority of retailers have no plans to implement AI today. Its SaaS-based Shrink Analyzer application uses a combination of RFID tags, computer vision linked to in-store CCTV, and analytics to help retailers identify causes of loss.

Sales 87

Sales Software Forecasting Statistics 87

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

OCTOBER 20, 2022

Their theme of “Digital + Electric = Sustainability” represents a real opportunity for companies to pivot away from products and processes that offer profit with a high environmental price tag. And that’s where I found myself mesmerized by the possibilities.

Snapshot 85

Snapshot Statistics Metrics Publishing 85

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Its Panorama identity management system tags and tracks location and activity around the world.

Management 141

Management Advertising Data Lake Sales 141

Smart Data Collective

OCTOBER 7, 2023

Not only do people share their personal milestones and daily snippets here, but they also check in at various places, tag friends, and announce plans. Health Predictions: With wearable tech monitoring vital statistics, AI can predict potential health issues before they become serious.

Technology 93

Technology Snapshot Data-driven Machine Learning 93

Insight

MARCH 12, 2020

Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. for example genre tags, ratings, and sales. For my purposes, the most interesting data on Goodreads comes in the form of genre/content tags. Likewise, it will help writers identify agents who are a good fit.

Modeling 59

Modeling Metadata Publishing Sales 59

Ontotext

MAY 26, 2021

As Wikipedia is not only the biggest encyclopedia, but its contributors adhere to a strict editorial process, each industry tag is usually assigned by one person and reviewed by another. Gold Standards are also needed to create training and evaluation sets for AI systems when we want to extract information from free text.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

BizAcuity

OCTOBER 21, 2019

High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Ontotext

NOVEMBER 9, 2021

Those variants have statistics about how much time they have fired, how many triples they inferred and how fast they got executed. Get a quick answer using the graphdb tag on stack overflow. The end result would be logs that contain a lot of information. We have developed a script that breaks it down into a human-manageable tsv.

Optimization 52

Optimization Statistics Modeling Management 52

CIO Business Intelligence

OCTOBER 24, 2023

It also mixes those inputs into a statistically probable new one, which is where hallucinations can occur. Last but not least, tags allow the system to better understand how different information in your dataset is related. It may be responding with neither response, which is why checking sources is good.

Cost-Benefit 117

Cost-Benefit Modeling Data Quality Statistics 117

O'Reilly on Data

JULY 28, 2020

When looked at this way, it’s largely a problem of mathematics and statistics. As organizations like Data For Black Lives , Black in AI , the Algorithmic Justice League , and others have been pointing out, it’s never just an issue of statistics. It’s an issue of harms and of power.

Testing 135

Testing Statistics Recreation/Entertainment Software 135

AWS Big Data

MARCH 21, 2024

Add tags and encryption, if applicable. Available metrics on the Amazon Redshift console are integration metrics and table statistics, with table statistics providing details of each table replicated from Amazon RDS for MySQL to Amazon Redshift. Choose Next. Choose Next. Choose Next. Choose Create zero-ETL integration.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This complements IBM’s acquisition of Databand.ai Protect your data.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Ontotext

DECEMBER 15, 2023

It includes only ML papers and related entities; this SPARQL query shows some statistics: papers tasks models datasets methods evaluations repos 376557 4267 24598 8322 2101 52519 153476 We can start with these repositories (most of them are on Github) and get all their topics. We can start with a connecting dataset like LinkedPapersWithCode.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

BizAcuity

OCTOBER 21, 2019

High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Rocket-Powered Data Science

MARCH 10, 2020

In the discussion of power-law distributions, we see again another way that graphs differ from more familiar statistical analyses that assume a normal distribution of properties in random populations. Chapter 1 provides a beautiful introduction to graphs, graph analytics algorithms, network science, and graph analytics use cases.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Sisense

APRIL 30, 2020

To do this, we’ll use machine learning (ML) algorithms, which are based on concepts of linear algebra and statistics. Begin by removing the URLs and HTML tags. URLs like [link] in above example and HTML tags like <br /> <br /> don’t add any value to the review text. Text preprocessing. get_text().

Machine Learning 91

Machine Learning Statistics Modeling IT 91

Jet Global

JULY 11, 2019

By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

O'Reilly on Data

MARCH 22, 2019

Emails tagged as spam aren’t deleted for 30 days; at any time during that period, the user can visit the spam folder and say “that’s not spam.” Differential privacy can safeguard personal data by adding random records to a database without changing its statistical properties, but it can also probably protect criminals by hiding evidence.

Metadata 241

Metadata Advertising Insurance Modeling 241

Cloudera

JUNE 28, 2022

A dashboard feeds from the Kudu database to show fraud summary statistics. Here, for example, the data received previously by the ListenUDP processor is “tagged” with the name of the schema that we want to use: “transaction.” The streaming SQL job also saves the fraud detections to the Kudu database.

Dashboards 81

Dashboards Machine Learning Statistics KPI 81

Jet Global

AUGUST 17, 2021

33-10835; 34-89835, Update of Statistical Disclosures for Bank and Savings and Loan Registrants. Along with addition of new elements to the taxonomy for disclosures of pledged assets related to variable interest entities, the FASB updated tagging implementation guidance related to this topic. Variable Interest Entities–Pledged Assets.

Recreation/Entertainment 52

Recreation/Entertainment Reporting Finance Consulting 52

AWS Big Data

APRIL 10, 2024

Add tags and encryption, if applicable, and choose Next. We discuss the Specify a different account option later in this section. Select the Redshift Serverless destination namespace ( zero-etl-target-rs-ns ), and choose Choose. Verify the integration name, source, target, and other settings, and choose Create zero-ETL integration.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

Occam's Razor

JUNE 28, 2007

When you are generating that much data from your website with your javascript tag based solutions there are a couple of "delightful" problems: It starts costing you lots of money because most javascript tag based solutions are pay for play (seems fair, it costs them money to collect your data).

Analytics 74

Analytics Statistics Data Collection Cost-Benefit 74

AWS Big Data

APRIL 3, 2024

In our case, we are appending _custom to the statistic name, resulting in the following format for KPIs: Completeness_custom Uniqueness_custom In a real-world scenario, you might want to set a value that matches with your data quality framework in relation to the KPIs that you want to track in Amazon DataZone. onData(df).useRepository(metricsRepository).addCheck(

Data Quality 87

Data Quality Visualization Metadata Metrics 87

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. We wish to estimate $beta_{pi}$, the true log odds effect of prominence on uptake $Y$.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag.

Cost-Benefit 87

Cost-Benefit Modeling Manufacturing Interactive 87

AWS Big Data

MARCH 11, 2024

With proper application tagging, you could also break this spend down by application to see which applications account for the cost. Using Cost Explorer can not only help you understand your bill, but help further optimize particular applications that may have scaled beyond expectations automatically or due to throughput requirements.

Management 95

Management Snapshot Metrics Cost-Benefit 95

Jet Global

OCTOBER 1, 2019

By using a combination of data, statistical algorithms, and machine learning techniques, predictive analytics identifies the likelihood of future outcomes based on the past. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Peter James Thomas

AUGUST 12, 2018

Are there any weaknesses in this definition, for example is it sensitive to any glitches in – say – the tagging of Repeat Business? Integrity of statistical estimates based on Data. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5 What can be done?

Metrics 49

Metrics Statistics Data Quality Measurement 49

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Jim Tyo added that in the financial services world, agility is critical. That’s no longer the way that we can operate because that is not going to move at the speed of business anymore.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

erwin

JANUARY 11, 2019

Statistics are similar when looking at major data integration projects, such as data warehousing and master data management with data stewards challenged to identify and document data lineage and sensitive data elements.

Data Governance 40

Data Governance Risk Metadata Management 40

Occam's Razor

AUGUST 22, 2011

Tip #9: Leverage Statistical Control Limits. Tip#1: Statistical Significance. JavaScript Tags). The Great Web Data Capture Debate: Web Logs or JavaScript Tags? Web Analytics Career Advice: Statistics, Business, IT & Mushrooms. Tip #12: Unsuspected Correlations Are Sweet! Tip#2: Segment Absolutely Everything.

KPI 124

KPI Metrics Measurement ROI 124

FineReport

APRIL 26, 2020

Unable to search the infographic templates based on topic, tags, or design. ggplot2 is a data visualization package for the statistical programming language R. It offers a wealth of free infographics to use within your creations. Cons : There are no rich media (HTML5) export options. Suitable crowd: Non-technical users. From Google.

Visualization 98

Visualization Software Dashboards Interactive 98

The Unofficial Google Data Science Blog

JANUARY 16, 2018

These differences tend to increase the variance of our estimates and hence lose us statistical power. These contribute to the structure and size of components. We see here indications of large differences in size and structure of components. We model network similarity using the fully nested hierarchical structure: component ?

Testing 58

Testing Experimentation Measurement Modeling 58

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. When two companies join together in some way, their data tags along into this new working relationship. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle.

Data Quality 241

Data Quality Metrics Data-driven Management 241