Analytics Vidhya

OCTOBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Source – Unsplash You must often receive birthday notifications from Facebook, like “Amit Pathak and 4 others have their birthday today” What is so special about this notification? When you look closely at all these birthday notifications, you will find that the name […].

Big Data 341

Big Data Data Science Publishing Analytics 341

CIO Business Intelligence

OCTOBER 30, 2022

Live shopping is one of the most exciting retail experiences in a long time. As shoppers become increasingly eager to buy via live shopping on social platforms such as Instagram and TikTok, retailers face new challenges: How to capture the shoppers’ attention on social media when the urge to buy hits? How can retailers create seamlessly interactive and immersive experiences that prompt consumers to hit the “buy button” during the live stream?

Sales 98

Sales Experimentation Interactive Marketing 98

Analytics Vidhya

OCTOBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Databases are collections of data that computers can access. They are used to store information such as customer records, employee records, and product information. Databases can be divided into two types: relational and non-relational. Relational databases store data in tables that are […].

Data Science 334

Data Science Publishing Analytics 334

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence. As Frawley (1992) nicely puts it, “ Computers have promised us a fountain of wisdom but delivered a flood of data.” Data Mining can help us to move from data keepers to intelligence gatherers.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 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

Analytics Vidhya

OCTOBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction KNN stands for K-Nearest Neighbors, the supervised machine learning algorithm that can operate with both classification and regression tasks. KNN is often one of the hot topics in the interviews when the panel is interested in someone who can deal with sparse […].

Machine Learning 327

Machine Learning Data Science Publishing Analytics 327

Analytics Vidhya

OCTOBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction A decentralized exchange (DEX) enables you to exchange (trade) crypto assets in a decentralized and secure manner. Decentralized Exchanges have evolved over time with new and unique features being implemented in the DEX. Cross-chain transfer of assets is one of the latest […].

Data Science 318

Data Science Publishing Analytics 318