Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I will be talking through the Augmented. The post Statistical tests to check stationarity in Time Series – Part 1 appeared first on Analytics Vidhya.

Statistics 270

Statistics Testing Data Science Publishing 270

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 380

Statistics Data Science Publishing Analytics 380

Analytics Vidhya

JUNE 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Selection is the process of selecting the features which. The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya.

Statistics 228

Statistics Testing Data Science Publishing 228

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 358

Statistics Data Science Experimentation Publishing 358

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 391

Testing Data Science Publishing Analytics 391

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 306

Statistics Data Science Testing Publishing 306

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 306

Testing Statistics Data Science Publishing 306

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 358

Statistics Data Science Publishing Analytics 358

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 329

Testing Statistics Data Science Publishing 329

Analytics Vidhya

APRIL 9, 2024

Introduction In this article, we will explore what is hypothesis testing, focusing on the formulation of null and alternative hypotheses, setting up hypothesis tests and we will deep dive into parametric and non-parametric tests, discussing their respective assumptions and implementation in python.

Testing 306

Testing Analytics Statistics Data Science 306

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 343

Testing Data Science Publishing Analytics 343

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 313

Testing Data Science Publishing Analytics 313

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 271

Statistics Data Science Testing Publishing 271

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 270

Testing Data Science Publishing Analytics 270

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 232

Statistics Modeling Data Science Publishing 232

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 264

Testing Data Science Analytics Publishing 264

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 348

Data Science Statistics Testing Publishing 348

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 359

Statistics Testing Data Science Publishing 359

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

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 364

Data Science Statistics Machine Learning Visualization 364

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 146

Statistics Testing Optimization Machine Learning 146

Analytics Vidhya

JANUARY 20, 2022

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

Modeling 343

Modeling Testing Data Science Publishing 343

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 391

Machine Learning Data Science Data Collection Testing 391

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 162

Testing Visualization Data Science Publishing 162

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

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

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 363

Marketing Experimentation Metrics Testing 363

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 266

Testing Data Science Publishing Analytics 266

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

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 217

Testing Statistics Modeling Optimization 217

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. Insights worth testing. The entire online experimentation canon is filled with landing page optimization type testing. You can test landing pages.

Experimentation 103

Experimentation Testing Optimization Marketing 103

O'Reilly on Data

JUNE 18, 2024

In particular, the Times argues that AI-generated summaries of news articles are a substitute for the original articles and damage its business. As The New York Times article referenced at the start of this piece notes, “The most prized data, A.I. They want to get paid for their work and preserve their existing business.

Advertising 353

Advertising Modeling Publishing Data Processing 353

Analytics Vidhya

APRIL 6, 2023

Introduction This article uses to predict student performance. For many applications, including online customer service, marketing, and finance, the stock price is a crucial challenge.

Finance 318

Finance Modeling Marketing Analytics 318

datapine

JANUARY 6, 2022

For a more in-depth review of scales of measurement, read our article on data analysis questions. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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 259

Modeling Software Sales Statistics 259

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Programmers have always developed tools that would help them do their jobs, from test frameworks to source control to integrated development environments. We’d like to see more companies test for fairness.

Enterprise 277

Enterprise Modeling Testing Reporting 277

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 279

Modeling Machine Learning Risk Advertising 279