Dataiku

JULY 9, 2021

Previously , we showed that uplift modeling, a causal inference success story for businesses, can outperform more conventional churn models. As with any causal inference application, it relied on crucial assumptions about the data to correctly identify the causal effect. While we brushed those assumptions aside, contenting ourselves with the assertion that they hold whenever the treatment variable was randomized, we will present and examine the two fundamental assumptions of ignorability and pos

IT 59

IT Modeling 59

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you start to learn deep learning, the first thing. The post 12 Matrix Operations You Should Know While Starting your Deep Learning Journey appeared first on Analytics Vidhya.

Deep Learning 382

Deep Learning Data Science Publishing Analytics 382

David Menninger's Analyst Perspectives

JULY 9, 2021

We are happy to share some insights about TIBCO Spotfire drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 246

Analytics Data Governance Business Intelligence Machine Learning 246

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Naive Bayes is a powerful tool that leverages Bayes’ Theorem. The post Topic modeling With Naive Bayes Classifier appeared first on Analytics Vidhya.

Modeling 348

Modeling Data Science Publishing Analytics 348

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Visualization

Smart Data Collective

JULY 9, 2021

Many companies have discovered that it is very difficult to find a pool of talented employees. Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes.

Data Analytics 125

Data Analytics Management Analytics Big Data 125

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book Introduction Hi, Enthusiastic readers! I have a Masters’s degree in Statistics and a year ago, I stepped into the field of data. The post T-Test -Performing Hypothesis Testing With Python appeared first on Analytics Vidhya.

Testing 315

Testing Statistics Analytics 315

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: There is a vast amount of data available on the. The post Learn Data Scraping Using Python and Selenium. appeared first on Analytics Vidhya.

Data Science 306

Data Science Publishing Analytics Data mining 306

erwin

JULY 9, 2021

For many organizations, data is the heart of the business, and data intelligence is the key differentiator. At the root of data intelligence is data governance , which helps ensure the right level of data access, availability and usage based on a defined set of data policies and principles. While the maturity of data governance strategies and implementations varies across all organizations, every organization must remain vigilant in how data governance is applied and agile in being able to evolv

Data Governance 59

Data Governance Business Driver Strategy Statistics 59

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image by author This article can appear as a particularly impressive. The post Colour Quantization Using K-Means Clustering and OpenCV appeared first on Analytics Vidhya.

Data Science 296

Data Science Publishing Analytics 296

Paul Turley

JULY 9, 2021

That’s right! I’m starting a new blog site today. Just to be clear, it will not replace this one. I will continue to post here at SqlServerBi.blog about everything related to Business Intelligence best practices, Power BI, Paginated Reports, SQL and the Azure Data Platform.

Business Intelligence 58

Business Intelligence Reporting IT 58

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hello, hope you are fine. In this article, we will study. The post All you need to know about Polynomial Regression appeared first on Analytics Vidhya.

Data Science 284

Data Science Publishing Analytics Structured Data 284

Cloudera

JULY 9, 2021

In this previous blog post we provided a high-level overview of Cloudera Replication Plugin, explaining how it brings cross-platform replication with little configuration. In this post, we will cover how this plugin can be applied in CDP clusters and explain how the plugin enables strong authentication between systems which do not share mutual authentication trust.

Snapshot 95

Snapshot Management Sales IT 95

Analytics Vidhya

JULY 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A Support Vector Machine (SVM) is a very powerful and. The post Support Vector Machine and Principal Component Analysis Tutorial for Beginners appeared first on Analytics Vidhya.

Data Science 278

Data Science Publishing Analytics Machine Learning 278

CDW Research Hub

JULY 9, 2021

According to Gartner , it is estimated that by 2024 in-person meetings will account for just 25% of enterprise meetings—a drop from 60% prior to the pandemic driven by remote work and changing workforce demographics. COVID-19 has shown us all the value of being able to provide a collaborative experience for users no matter where they are working. Does your organization have access to a reliable collaboration and videoconferencing tool?

Optimization 52

Optimization Cost-Benefit Data Processing Manufacturing 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation