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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Identifying crop regions is a core step towards gaining agricultural insights, and the combination of rich geospatial data and ML can lead to insights that drive decisions and actions.

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Analyzing the history of Tableau innovation

Tableau

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Tableau had its IPO at the NYSE with the ticker DATA in 2013. June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two. March 2021).

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What is Snowpark — and Why Does it Matter? A phData Perspective

phData

On the client side, Snowpark consists of libraries, including the DataFrame API and native Snowpark machine learning (ML) APIs for model development (public preview) and deployment (private preview). phData has been working in data engineering since the inception of the company back in 2015.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

Getir was founded in 2015 and operates in Turkey, the UK, the Netherlands, Germany, and the United States. Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Initially, daily forecasts for each country are formulated through ML models.

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WiBD & DataCamp May Session – DataCamp Certification and Next Steps

Women in Big Data

We provided a quick overview of Women in Big Data (WiBD). Launched in 2015 and becoming a nonprofit organization in 2020, WiBD is a grassroots initiative dedicated to inspiring, connecting, and advancing women in data fields. Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data.

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MLOps and the evolution of data science

IBM Journey to AI blog

Both computer scientists and business leaders have taken note of the potential of the data. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. MLOps is the next evolution of data analysis and deep learning. What is MLOps?

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Analyzing the history of Tableau innovation

Tableau

Incredible growth started in 2005 with the company roughly doubling in size every year until 2015. Tableau had its IPO at the NYSE with the ticker DATA in 2013. June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two. March 2021).

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