Analytics Vidhya

DECEMBER 6, 2021

This article was published as a part of the Data Science Blogathon. The post Understanding hypothesis testing through an end to end case study appeared first on Analytics Vidhya. The post Understanding hypothesis testing through an end to end case study appeared first on Analytics Vidhya.

Testing 379

Testing Statistics Data Science Publishing 379

Analytics Vidhya

NOVEMBER 27, 2021

This article was published as a part of the Data Science Blogathon. Statistics plays an important role in the domain of Data Science. One of the popular statistical processes is Hypothesis Testing having vast usability, not […].

Testing 301

Testing Statistics Deep Learning Machine Learning 301

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction Statistical Moments plays a crucial role while we specify our probability distribution to work with since, with the help of moments, we can describe the properties of statistical distribution.

Statistics 280

Statistics Data Science Testing Publishing 280

Analytics Vidhya

SEPTEMBER 9, 2021

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

Machine Learning 328

Machine Learning Testing Statistics Data Science 328

Analytics Vidhya

OCTOBER 29, 2021

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. Data processing is […]. Data processing is […].

Statistics 348

Statistics Data Science Experimentation Publishing 348

Analytics Vidhya

JULY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Statistics is the science of analyzing huge amounts of data. The post A Simple Guide to Hypothesis Testing for Dummies! appeared first on Analytics Vidhya.

Testing 296

Testing Statistics Data Science Publishing 296

KDnuggets

DECEMBER 5, 2023

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

Statistics 104

Statistics Testing Optimization Machine Learning 104

Analytics Vidhya

DECEMBER 18, 2020

This article was published as a part of the Data Science Blogathon. Introduction How much data is enough to state statistical significance? The post Statistics for Beginners: Power of “Power Analysis” appeared first on Analytics Vidhya.

Statistics 338

Statistics Data Science Publishing Analytics 338

Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression, a statistical model is a very popular and. The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya.

Testing 315

Testing Statistics Data Science Publishing 315

Analytics Vidhya

MAY 31, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Estimation Theory and Hypothesis testing are the very important concepts. The post Complete Guide to Point Estimators in Statistics for Data Science appeared first on Analytics Vidhya.

Statistics 260

Statistics Data Science Testing Publishing 260

Analytics Vidhya

JANUARY 20, 2021

ArticleVideos This article was published as a part of the Data Science Blogathon. The post An Introduction to Hypothesis Testing appeared first on Analytics Vidhya. Introduction: Many problems require that we decide whether to accept or.

Testing 390

Testing Data Science Publishing Analytics 390

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. Table of Contents 1) Introduction 2) Types of Errors 3) Types of Hypothesis Tests 4) All about Parametric and Non-Parametric Tests 5) Parametric vs Non-Parametric Tests 6) Hypothesis Tests of the Mean and Median 7) Reasons to use Parametric Tests 8) Reasons to use […].

Testing 248

Testing Data Science Publishing Analytics 248

Analytics Vidhya

NOVEMBER 3, 2020

This article was published as a part of the Data Science Blogathon. Must know Statistical concepts for the Data Science journey The main goal. The post Top 5 Statistical Concepts Every Data Scientist Should Know in 2020! appeared first on Analytics Vidhya.

Statistics 348

Statistics Data Science Publishing Analytics 348

Analytics Vidhya

MAY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Hypothesis Testing Every day we find ourselves testing new ideas, finding the fastest route to the office, the quickest way to finish our work, or simply finding a better way to do something we love.

Testing 219

Testing Data Science Analytics Publishing 219

Analytics Vidhya

JULY 25, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Overview: In this article, we will be learning the theory, The post Hypothesis Testing Made Easy For The Data Science Beginners! appeared first on Analytics Vidhya.

Testing 331

Testing Data Science Publishing Analytics 331

Analytics Vidhya

DECEMBER 14, 2020

This article was published as a part of the Data Science Blogathon. What is a Statistical Model? The post All about Statistical Modeling appeared first on Analytics Vidhya. “Modeling is an art, as well as.

Statistics 170

Statistics Modeling Data Science Publishing 170

Analytics Vidhya

DECEMBER 5, 2020

This article was published as a part of the Data Science Blogathon. Introduction Hypothesis Testing is necessary for almost every sector, it does not. The post Quick Guide To Perform Hypothesis Testing appeared first on Analytics Vidhya.

Testing 247

Testing Data Science Publishing Analytics 247

Analytics Vidhya

NOVEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hey, are you working on a data science project, solving a problem statement related to data science, or experimenting with a statistical test to make further decisions and handling the most repeatedly cited statistical term, ‘correlation’?

Data Science 313

Data Science Statistics Testing Publishing 313

Analytics Vidhya

MARCH 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What is A/B testing? A/B Testing(split testing) is basically the. The post A/B Testing Measurement Frameworks ?- ?Every Every Data Scientist Should Know appeared first on Analytics Vidhya.

Testing 259

Testing Measurement Data Science Publishing 259

Analytics Vidhya

SEPTEMBER 29, 2022

This article was published as a part of the Data Science Blogathon. Within what range of skewness and kurtosis a distribution shall be considered normal before selecting appropriate Statistical Tests (Hypothesis […]. The post Importance of Skewness, Kurtosis, Co-efficient of Variation appeared first on Analytics Vidhya.

Statistics 320

Statistics Testing Data Science Publishing 320

Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. These include statistics, machine learning, probability, data visualization, data analysis, and behavioral questions. Besides these, your coding abilities are also tested by asking you to solve a problem, and […].

Data Science 354

Data Science Statistics Machine Learning Testing 354

Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In the last blog we looked at a test to. The post Decoding the Chi-Square Test?-?Use, Use, Implementation and Visualization appeared first on Analytics Vidhya.

Testing 155

Testing Visualization Data Science Publishing 155

Depict Data Studio

JULY 13, 2021

Today’s article comes from Maryfrances Porter, Ph.D. & — Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! . Why Nonprofits Shouldn’t Use Statistics. & Alison Nagel, Ph.D And here’s why!

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Analytics Vidhya

JULY 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential.

Machine Learning 372

Machine Learning Data Science Data Collection Testing 372

Analytics Vidhya

JANUARY 20, 2022

This article was published as a part of the Data Science Blogathon.

Modeling 321

Modeling Testing Data Science Publishing 321

O'Reilly on Data

FEBRUARY 16, 2023

That’s what beta tests are for. Remember that these tools aren’t doing math, they’re just doing statistics on a huge body of text. Will it take weeks, months, or years to iron out the problems with Microsoft’s and Google’s beta tests? So it’s not surprising that things are wrong.

Testing 213

Testing Statistics Modeling Optimization 213

Analytics Vidhya

MAY 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Correlation Test Assessing the relationship between two variables is commonly performed. The post Image Raster Analysis: Spatial Correlation appeared first on Analytics Vidhya.

Testing 227

Testing Data Science Publishing Analytics 227

O'Reilly on Data

DECEMBER 12, 2023

In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model. This fallacy was probably encouraged by another New Yorker article arguing that an LLM is like a compressed version of the web. How do we make sense of this?

Modeling 254

Modeling Software Sales Statistics 254

Smarten

JUNE 29, 2018

This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? Let’s look at a sample of the Independent t-test on two variables. How Can the Independent Samples T Test Method Benefit an Organization?

Testing 40

Testing Statistics IT Business Intelligence 40

O'Reilly on Data

NOVEMBER 29, 2022

That kind of granular approach would make it easier to develop statistical tests that could determine if the solution is harming any of the groups. His article, titled, Can machines learn how to behave? Within the software community, it often feels as though we’re inundated with articles, papers, and conferences on AI ethics.

Machine Learning 280

Machine Learning Recreation/Entertainment Risk Testing 280

Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? It is used to determine whether there is a statistically significant association between the two categorical variables. Use Case – 1.

Testing 40

Testing Statistics IT Business Intelligence 40

O'Reilly on Data

MARCH 26, 2024

It’s ironic that, in this article, we didn’t reproduce the images from Marcus’ article because we didn’t want to risk violating copyright—a risk that Midjourney apparently ignores and perhaps a risk that even IEEE and the authors took on!) To see this, let’s consider another example, that of MegaFace. joined Flickr.

Modeling 277

Modeling Machine Learning Risk Advertising 277

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. The result will be unusable if a user prompts the model to write a factual news article.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

Andrew White

MARCH 28, 2019

There was an interesting article in today’s US print edition of the Financial Times. The article highlights a dialog between scientists and pundits who use ‘ statistical significance ’ as a proof of a fact, argument or casual relationship between factors. Statistical significance is a flag, a signal, yet another piece of data.

Data-driven 79

Data-driven Statistics Testing Metrics 79

Smart Data Collective

OCTOBER 8, 2021

This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Machine learning tests.

Machine Learning 112

Machine Learning Testing Strategy Modeling 112

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? Identifying the problem. The AI Product Development Process.

Marketing 362

Marketing Experimentation Metrics Testing 362