Analytics Vidhya

AUGUST 17, 2023

Introduction Pandas is more than just a name – it’s short for “panel data.” Use the Data formats with pandas in economics and statistics. It refers to structured data sets that hold observations across multiple periods for different entities or subjects. ” Now, what exactly does that mean?

Statistics 269

Statistics Structured Data Analytics IT 269

Analytics Vidhya

JUNE 7, 2020

The post Introduction to ANOVA for Statistics and Data Science (with COVID-19 Case Study using Python) appeared first on Analytics Vidhya. Introduction “A fact is a simple statement that everyone believes. It’s innocent, unless found guilty. A Hypothesis is a novel suggestion that no one.

Statistics 287

Statistics Data Science Analytics IT 287

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Key Performance Indicator 291

Key Performance Indicator Optimization Analytics Statistics 291

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 205

Machine Learning Key Performance Indicator Optimization Analytics 205

Analytics Vidhya

NOVEMBER 23, 2021

This article was published as a part of the Data Science Blogathon. Regression analysis is used to solve problems of prediction based on data statistical parameters. In this article, we will look at the use of a polynomial regression model on a simple example using real statistic data.

Modeling 400

Modeling Statistics Data Science Publishing 400

Analytics Vidhya

DECEMBER 25, 2020

ArticleVideos Image by Author In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. The post Using Predictive Power Score to Pinpoint Non-linear Correlations appeared first on Analytics Vidhya.

Statistics 353

Statistics Analytics Structured Data Machine Learning 353

Analytics Vidhya

SEPTEMBER 9, 2021

This article was published as a part of the Data Science Blogathon What is Hypothesis Testing? Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample.

Machine Learning 369

Machine Learning Testing Statistics Data Science 369

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The normal distribution is an important class of Statistical Distribution that. The post Normal Distribution : An Ultimate Guide appeared first on Analytics Vidhya.

Statistics 312

Statistics Data Science Publishing Analytics 312

Analytics Vidhya

JUNE 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In applied Statistics and Machine Learning, Data Visualization is one. The post Must Known Data Visualization Techniques for Data Science appeared first on Analytics Vidhya.

Visualization 398

Visualization Data Science Statistics Machine Learning 398

Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Statistics is the foundation of Data Science. Before jumping to. The post Five Number Summary for Analysis! appeared first on Analytics Vidhya.

Statistics 271

Statistics Data Science Publishing Analytics 271

Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Many engineers have never worked in statistics or data science. The post Know the basics of Exploratory Data Analysis appeared first on Analytics Vidhya.

Statistics 249

Statistics Data Science Publishing Analytics 249

Analytics Vidhya

JULY 25, 2022

Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Introduction Let’s have a simple overview of what Machine Learning is. Source: [link] For […].

Machine Learning 271

Machine Learning Predictive Modeling Statistics Data Science 271

Analytics Vidhya

JULY 8, 2023

But what does it take to clear the rigorous data science interview process?

Data Science 281

Data Science Statistics Machine Learning Analytics 281

CIO Business Intelligence

MARCH 21, 2022

The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Analytics Vidhya

OCTOBER 28, 2020

This article was published as a part of the Data Science Blogathon. Introduction A popular and widely used statistical method for time series forecasting. The post How to Create an ARIMA Model for Time Series Forecasting in Python appeared first on Analytics Vidhya.

Forecasting 226

Forecasting Modeling Statistics Data Science 226

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. Commonly used models include: Statistical models. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 86

Management IT Machine Learning Metrics 86

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data. We assess revenue streams.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

BizAcuity

OCTOBER 21, 2019

– into structured data to develop actionable managerial insights to enhance their operations. . . High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

JUNE 28, 2022

For example, they may not be easy to apply or simple to comprehend but thanks to bench scientists and mathematicians alike, companies now have a range of logistical frameworks for analyzing data and coming to conclusions. More importantly, we also have statistical models that draw error bars that delineate the limits of our analysis.

Management 138

Management Internet of Things Statistics Data-driven 138

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. These methods and their results need to be captured, but how? Other Technologies.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

DataRobot Blog

JANUARY 17, 2023

establishing an appropriate price illiquid securities, predicting where liquidity will be located, and determining appropriate hedge ratios) as well as more generally: the existence of good historical trade data on the assets to be priced (e.g., For price discovery (e.g., more liquid credits, bond futures, swaps markets, etc.).

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

Ontotext

JUNE 22, 2023

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. The current process involves costly wet lab experiments, which are often performed multiple times to achieve statistically significant results.

Metrics 52

Metrics Statistics Visualization Metadata 52

Ontotext

FEBRUARY 14, 2024

As a statistical model, LLM inherently is random. Semantic knowledge graphs combined with LLM allow you to bridge the gap – querying your well-curated and conformed data with natural language. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

BizAcuity

OCTOBER 21, 2019

into structured data to develop actionable managerial insights to enhance their operations. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

CIO Business Intelligence

APRIL 14, 2022

Its Demographics APIs , for instance, take an address or location and return a set of aggregated statistics about the people and households within the search radius. Companies with data turn to Snowflake to store and analyze it instead of building their own infrastructure.

Enterprise 138

Enterprise Marketing Measurement Reporting 138

O'Reilly on Data

APRIL 19, 2021

We also asked what kinds of data our “mature” respondents are using. Most (83%) are using structured data (logfiles, time series data, geospatial data). form data). We’d expect most business applications to involve structured data, form data, or text data of some kind.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Complete the implementation tasks such as data ingestion and performance testing.

Testing 96

Testing Data Warehouse Metrics Cost-Benefit 96

Ontotext

MAY 26, 2021

In the same way as with data linking, we have to adjust our ML algorithms by giving them plenty of documents to learn from. Once developed and trained, these algorithms become the building blocks of systems that can automatically interpret data. Evaluation as well requires a trusted reference, which is again the Gold Standard.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Both are associated with data usage but differ from each other.

Data mining 294

Data mining Data Collection Strategy Data Analytics 294

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. As the name suggests, they plot the quantiles of a sample distribution against quantiles of a theoretical distribution.

Modeling 388

Modeling Data Science Publishing Analytics 388

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Sentry permissions exported from CDH to Ranger policies on Data Lake. .

Data Lake 68

Data Lake Metadata Unstructured Data Management 68