Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

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. One is a dimension containing two values and the other is a measure.

Testing 40

Testing Statistics IT Business Intelligence 40

Occam's Razor

SEPTEMBER 19, 2011

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!), The nice thing is that you can also test that!

Measurement 119

Measurement Advertising Testing Marketing 119

Smart Data Collective

OCTOBER 8, 2023

This article delves into the profound impact data analytics can have on fast food legal cases. It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. Data Analysis The cleaned data is then analyzed using various statistical techniques and algorithms.

Data Analytics 95

Data Analytics Analytics Statistics Data Collection 95

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. We will go over them in the third part of this article.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. This article focuses on big data in financial industry, its role, and how it helps fintech companies protect their customers and improve the customer experience. Better UI/UX based on A/B testing.

Big Data 129

Big Data ROI Measurement Risk 129

The Unofficial Google Data Science Blog

JANUARY 16, 2018

by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. At Google, A/B testing plays a key role in better understanding our users and products. This could create confusion.

Testing 58

Testing Experimentation Measurement Modeling 58

Cloudera

DECEMBER 3, 2021

This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. As discussed in this article , model design can also be a source of bias too. Uncertainty is a measure of our confidence in the predictions made by a system. System Design. Model Drift.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. And last is the probabilistic nature of statistics and machine learning (ML).

Risk 359

Risk Modeling Data Processing Software 359

Smarten

DECEMBER 3, 2023

This article will help you gather information about the topic of augmented analytics. Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution. What is self-service analytics?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

FineReport

DECEMBER 9, 2021

Business intelligence strategy is seen as a roadmap designed to help companies measure their performance and strengthen their performance through architecture and solutions. KPI (Key Performance Indicator)-the indicator you will use to measure performance. The chosen example in this article is the wonderful application of FineReport.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

O'Reilly on Data

DECEMBER 12, 2019

This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Residual analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Domino Data Lab

JULY 1, 2021

The model achieves relatively high accuracy and all data and code is freely available in the article. statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

AUGUST 22, 2011

" + Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest. Key To Your Digital Success: Web Analytics Measurement Model. How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

datapine

MARCH 22, 2019

Moreover, measuring these metrics will also avert potential customer frustrations, monitor customer satisfaction levels, and give you a more concrete, informed idea of how your customer-facing team is doing. How To Measure Customer Satisfaction? How To Measure Customer Satisfaction? Without further ado, let’s get going.

Metrics 134

Metrics Dashboards Measurement Interactive 134

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. MAB algorithms are popular across many of the large web companies.

Experimentation 95

Experimentation Statistics Testing Strategy 95

FineReport

JUNE 29, 2023

In this article, we will explore the concept of IoT dashboards, delve into their benefits, examine real-life examples, and highlight the essential features that make them indispensable in the IoT landscape. To determine the most suitable method for your objectives, conduct tests with users and allocate valuable time to design the format.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Domino Data Lab

JULY 1, 2020

In this article, I will talk about best practices to implement in your notebooks covering notebook structure, coding style, abstraction, and refactoring. The article concludes with an example of a notebook that implements these best practices. Makes the code easier to test. Notebook Structure.

Testing 116

Testing Data Science Machine Learning Data-driven 116

Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. The Karl Pearson’s correlation measures the degree of linear relationship between two variables.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). What is Multiple Linear Regression Analysis? How Can Multiple Linear Regression Be Helpful for Business Analysis?

Business Analysis 40

Business Analysis IT Sales Statistics 40

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. The case that might be familiar to you is an AB test. A complementary Domino project is available. . Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

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. The doctor uploads the patient’s medical history and recent test results to an AGI-powered medical analysis system. Example : A patient visits a doctor with concerning symptoms.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

Smarten

JUNE 29, 2018

This article describes the Simple Linear Regression method of analysis. Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). Business Problem: An eCommerce company wants to measure the impact of product price on product sales.

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Depict Data Studio

APRIL 16, 2019

Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. Avoid red-green color combos, and then test your drafts at [link]. Avoid colored text against a colored background, and then test your drafts for color contrast at [link]. Avoid Red-Green Color Combos.

Visualization 56

Visualization Reporting Statistics Dashboards 56

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. measure the subjects’ ability to trust the models’ results. Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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 101

Experimentation Testing Optimization Marketing 101

Domino Data Lab

AUGUST 20, 2019

The problem is that a new unique identifier of a test example won’t be anywhere in the tree. Feature extraction means moving from low-level features that are unsuitable for learning—practically speaking, we get poor testing results—to higher-level features which are useful for learning. Separate out a hold-out test set.

Testing 68

Testing Modeling Interactive Measurement 68

Alation

SEPTEMBER 28, 2022

However, there is a lot more to know about DataOps, as it has its own definition, principles, benefits, and applications in real-life companies today – which we will cover in this article! Automated testing to ensure data quality. What Is DataOps? Easy-to-experiment data development environment. How Does DataOps Provide Value?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Smarten

JUNE 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Logistic regression measures the relationship between the categorical target variable and one or more independent variables. What is Binary Logistic Regression Classification?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Domino Data Lab

OCTOBER 23, 2019

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. You can add a Makefile command test that will run all of your notebooks by issuing.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Insight

APRIL 28, 2020

In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. provide an opportunity to measure both. Article by Adam Azzam. Originally posted on Open Data Science (ODSC). Length: Highly Variable.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. The hardest parts of data science are problem definition and solution measurement, not model fitting and data cleaning , because counting things is hard.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. These measurement-obsessed companies have an advantage when it comes to AI. It is similar to R&D. Transcript. Hi, I’m Peter Skomoroch.

Management 110

Management Machine Learning Experimentation Metrics 110

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. On my test set, this approach resulted in~75–95% accuracy and ~.65 features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59