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Azure ML

  • March 9, 2020
  • jdkaispe

Student Churn Prediction using Microsoft Azure Machine Learning

In an study with different schools, teachers shared how high attrition rates affect classroom learning and culture. An unstable living environment may cause students to be often late, missing classes or changing schools, although teachers say they try to reduce distractions, such as using mindfulness technology in academic classes however student churn is still a […]

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  • January 19, 2020
  • jdkaispe

Microsoft Power BI and Azure Machine Learning

Azure Machine Learning is a platform on which data scientists can develop machine learning models to meet complex business challenges. So, here we have Power BI to discover all behind the scenes to interact users as well as business analysts in much easier and faster way. In today’s blog we will discover some useful insights […]

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  • January 16, 2020
  • jdkaispe

KAISPE Azure Machine Learning PoC Offering is now available on Microsoft Marketplace

NEW YORK, January 16, 2020– KAISPE is pleased to announce that customers and partners can now avail our one week Proof of Concept offering for Microsoft Azure Machine Learning implementation. This will particularly help customers who want to practically see how Azure Machine Learning can help them fulfilling the Predictive Maintenance requirements for their business […]

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  • October 2, 2019
  • jdkaispe

Water Irrigation Experiment Using Microsoft Azure Machine Learning

Hi, As we all know water irrigation is the foundation of global agricultural productivity, enabling farmers to buffer crops to cope with the risks of rainfall variability and drought. However, freshwater supplies to irrigated agriculture are increasingly constrained by increased demand for water from other sectors, changes in water supply due to climate change and […]

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  • September 12, 2019
  • jdkaispe

Agriculture Water Irrigation – Predictive Analytics Using Microsoft Azure ML

In today’s world water Irrigation / shortages are a major problem in many developed and developing countries in the world. In a serious threat, it often leads to the emergence of a food crisis. Due to scarcity the increase in water volume is critical to the need for available water management. To improve water management […]

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