Remove about locations
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Assorting and Locating Varied Forms of Sexual Harassment

Analytics Vidhya

Introduction Do you know the inevitable fact about the prevalence of sexual harassment is because of low reporting incidence? Assorting and locating Varied […] The post Assorting and Locating Varied Forms of Sexual Harassment appeared first on Analytics Vidhya.

Reporting 275
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Implementing Geospatial Data Analysis in Data Science: Techniques, Challenges, Trends, and Best Practices

Analytics Vidhya

In simpler terms, it’s about analyzing and making sense of data with a location component, such as a city, country, or building. For example, let’s say you’re a city planner and want to find the best location for a new park.

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End-to-End Case Study: Bike Sharing Demand Prediction

Analytics Vidhya

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.

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Want to learn Cloud Computing? Begin your Journey with AWS!

Analytics Vidhya

AWS Availability Zones Edge Locations AWS Free Tier Sign up AWS Services Conclusion Introduction In this article, we will understand more about cloud computing and we will focus mainly […]. This article was published as a part of the Data Science Blogathon. The post Want to learn Cloud Computing? Begin your Journey with AWS!

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Supply Chain Network Design Use Cases; From Lowering Cost to Going Green

Speaker: Aanand Pandey and Catalina Perez

Watch this webinar to hear about impactful use cases from 4 large customers, including: Opening/closing of DCs. Finding optimal locations for plants and other resources. Need to lower your supply chain costs, speed up delivery times or decrease carbon emissions? Start optimizing your supply chain! Dealing with abrupt changes in demand.

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Strawberry Fields Forever

O'Reilly on Data

Tim O’Reilly forwarded an excellent article about the OpenAI soap opera to me: Matt Levine’s “ Money Stuff: Who Controls Open AI.” I asked what his father grew; it was very difficult to imagine a farm at that location. I’ll skip most of it, but something caught my eye. He grew strawberries. And what happened to the farm?

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. For example, the company’s procurement team can use this information to make decisions about which vehicles to prioritize for replacement before policy changes go into effect.