Analytics Vidhya

DECEMBER 2, 2020

Introduction One of the most used matrices for measuring model performance is. The post A Measure of Bias and Variance – An Experiment appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

Measurement 297

Measurement Data Science Publishing Modeling 297

David Menninger's Analyst Perspectives

JANUARY 15, 2025

So, it is essential to incorporate external data in forecasting, planning and budgeting, especially for predictive analytics and machine learning to support artificial intelligence. Until recently, it was adequate for organizations to regard external data as a nice to have item, but that is no longer the case. Regards, Robert Kugel

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

DataCamp

MAY 5, 2020

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.

Machine Learning 96

Machine Learning Statistics Testing Measurement 96

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? The Bottom Line.

Machine Learning 145

Machine Learning Data mining Visualization Statistics 145

O'Reilly on Data

NOVEMBER 19, 2024

presented the TRACE framework for measuring results, which showed how GraphRAG achieves an average performance improvement of up to 14.03%. GraphRAG brings in graph technologies to help make LLM-based applications more robust: conceptual representation, representation learning, graph queries, graph analytics, semantic random walks, and so on.

Unstructured Data 321

Unstructured Data Structured Data Statistics Modeling 321

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI In this post, we shed some light on various efforts toward generating data for machine learning (ML) models. business and quality rules, policies, statistical signals in the data, etc.).

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Rocket-Powered Data Science

MARCH 19, 2021

One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

O'Reilly on Data

AUGUST 4, 2022

This kind of humility is likely to deliver more meaningful progress and a more measured understanding of such progress. For example, how many training examples does it take to learn something? For biological systems, the answer is, in general, not many; for machine learning, the answer is, in general, very many.

Machine Learning 341

Machine Learning Modeling Statistics Software 341

AWS Big Data

OCTOBER 1, 2024

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Enabling AWS Glue Data Catalog column statistics further improved performance by 3x versus last year.

Data Lake 116

Data Lake Statistics Broadcasting Optimization 116

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

datapine

NOVEMBER 27, 2019

Often seen as the highest foe-friend of the human race in movies ( Skynet in Terminator, The Machines of Matrix or the Master Control Program of Tron), AI is not yet on the verge to destroy us, in spite the legit warnings of some reputed scientists and tech-entrepreneurs. Prescriptive analytics goes a step further into the future.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

NOVEMBER 26, 2024

The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. Discover the power of Augmented Analytics , machine learning, and Natural Language Processing (NLP).

Machine Learning 62

Machine Learning Data Quality Predictive Modeling Metadata 62

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. Companies should then monitor the measures and adjust them as necessary.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Analytics Vidhya

APRIL 22, 2021

Introduction What is the first measure coming into your mind. The post Confusion Matrix: Detailed intuition and trick to learn appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Measurement 329

Measurement Data Science Publishing Analytics 329

DataKitchen

SEPTEMBER 18, 2024

Key statistics highlight the severity of the issue: 57% of respondents in a 2024 dbt Labs survey rated data quality as one of the three most challenging aspects of data preparation (up from 41% in 2023). Early measurements provide valuable insights that can guide future improvements.

Scorecard 177

Scorecard Data Quality Measurement Testing 177

AWS Big Data

DECEMBER 7, 2023

In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign. We chose to start this series with media measurement because “Results & Measurement” was the top ranked use case for data collaboration by customers in a recent survey the AWS Clean Rooms team conducted. and CTV.Co

Measurement 116

Measurement Advertising Testing Data-driven 116

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4) Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

MARCH 25, 2019

Once you’ve set your data sources, started to gather the raw data you consider to offer potential value, and established clearcut questions you want your insights to answer, you need to set a host of key performance indicators (KPIs) that will help you track, measure, and shape your progress in a number of key areas.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. By starting with testing and measurements, even before standards are fully established, organizations can build a foundation for continuous improvement.

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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 133

Data Science Statistics Deep Learning Machine Learning 133

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. Some branches of machine learning (e.g.

Machine Learning 74

Machine Learning Modeling Statistics Predictive Modeling 74

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

Statistics 111

Statistics ROI Machine Learning Measurement 111

DataKitchen

MAY 10, 2021

Best practices include continuous monitoring of machine learning models for degradations in accuracy. . The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors. Week after week, it is measured with a million rows. Statistical Process Control.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Smart Data Collective

NOVEMBER 7, 2019

Machine learning is disrupting the mobile app development industry. Although mobile app developers have used machine learning in some way or another for years, they are finding new applications for it. Machine learning is particularly useful when it comes to avoiding many of the biggest mistakes that app developers make.

Machine Learning 69

Machine Learning Marketing Recreation/Entertainment Advertising 69

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. However, fintech businesses can use big data and machine learning to build fraud detection systems that uncover anomalies in real time. Measure the ROI from delivering a great customer experience.

Big Data 145

Big Data ROI Measurement Machine Learning 145

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

AWS Big Data

AUGUST 8, 2024

Run the job for 6 days and explore how AWS Glue Data Quality learns from data statistics and detects anomalies. For Statistics , enter RowCount. For Statistics , enter DistinctValuesCount and for Columns , enter pulocationid. Rules and analyzers gather data statistics or data profiles. Add a second analyzer.

Data Quality 116

Data Quality Statistics Visualization Metrics 116

Smart Data Collective

FEBRUARY 21, 2020

Another breakthrough has been statistical analysis as it relates to the stock market and other investments. Leading banks are utilizing the power of big data and machine learning to step up their security game, automatically detecting deviations in consumer purchasing behaviors to prevent and mitigate fraud.

Big Data 144

Big Data Machine Learning Statistics Predictive Analytics 144

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. If you’re looking to get an edge on a data analytics career, certification is a great option. The number of data analytics certs is expanding rapidly.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smart Data Collective

DECEMBER 17, 2021

The first step is setting the goals and defining what success metrics you want to measure. But, the first step in any good process is to identify the goals and define what success metrics you want to measure. When starting a new project, it’s important to have a process for running a successful project. Source: [link].

Marketing Analytics 122

Marketing Analytics Marketing Data-driven Analytics 122