case-studies 
Analytics Vidhya
SEPTEMBER 30, 2023
We can use transfer learning to simplify […] The post Mastering Transfer Learning: A Rock-Paper-Scissors Case Study appeared first on Analytics Vidhya. In recent years, we’ve witnessed an expansion in the capabilities and applications of generative models.
Analytics Vidhya
SEPTEMBER 7, 2023
This article will disclose what is algorithmic bias, its various dimensions, […] The post Understanding Algorithmic Bias: Types, Causes and Case Studies appeared first on Analytics Vidhya. The answer often lies in algorithmic bias, a complex and pervasive issue within artificial intelligence.
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Analytics Vidhya
MAY 5, 2023
It has 900K registered merchants, more than 190M app downloads, and more than 2M drivers delivering more than 180K orders within a […] The post Solving Business Case Study Assignments appeared first on Analytics Vidhya.
Analytics Vidhya
FEBRUARY 2, 2023
Introduction Why do companies conduct business case studies along with interviews? Not everyone is deductive, and most people are inductive; they learn from […] The post Business Case Study Assignments For Entry Level Data Analysts appeared first on Analytics Vidhya.
Speaker: Steve Pappas, Chief Strategist, Startup and Early Stage Growth Advisor, Keynote Speaker, CX Podcaster
Through actual case studies, Steve will analyze companies that have harnessed the potential of AI-driven conversations to transcend CX boundaries. By enhancing efficiency and personalization while elevating customer satisfaction and loyalty, conversational AI serves as a powerful catalyst propelling a CX revolution like never before!
Analytics Vidhya
MAY 27, 2023
Introduction Bike-sharing demand analysis refers to the study of factors that impact the usage of bike-sharing services and the demand for bikes at different times and locations. The purpose of this analysis is to understand the patterns and trends in bike usage and make predictions about future demand.
Analytics Vidhya
MAY 29, 2022
The post Solving Business Case Study Assignments For Data Scientists appeared first on Analytics Vidhya. Introduction Data scientists/engineers/Analysts are in huge demand and various large and small firms are hiring left right and centre for various roles.
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In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. Case studies describing how organizations both large and small are leveraging automated machine learning. Simple rules for spotting high-value use cases within your own organization.
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Real-world case studies from companies who license data to fuel industry-leading products. When selecting data providers, companies must ensure they’re tapping into comprehensive, high-quality streams of fresh information which can be easily integrated into their products in a privacy-compliant manner.
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A unique case-study, complete with hard metrics and step-by-step process breakdown. Data Axle’s ultimate guide to omnichannel marketing explores how you can turn data into actionable insights to give buyers what they really want – personalized, relevant, timely messaging. Today’s consumers have evolved.
Speaker: Kim Antelo, Transformation Coach
In this webinar, Transformational Coach Kim Antelo will walk through a case study of a healthcare company with lofty OKRs, but with little tie-back to the product performance. The best product teams evaluate themselves not by the quantity or speed with which they release new features, but by how much those features add value.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs.
Advertiser: Datadog
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Download the case study to learn more! Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before.
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