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How to Use XGBoost for Time-Series Forecasting?

Analytics Vidhya

Introduction Time-series forecasting is a crucial task in various domains, including finance, sales, and energy demand. Accurate forecasting allows businesses to make informed decisions, optimize resources, and plan for the future effectively. appeared first on Analytics Vidhya.

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Deep Learning for Time Series Forecasting: Is It Worth It?

Dataiku

Time series forecasting use cases are certainly the most common time series use cases, as they can be found in all types of industries and in various contexts. Using RNNs & DeepAR Models to Find Out.

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MRO spare parts optimization

IBM Big Data Hub

Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Do you have purpose-built algorithms to improve intermittent and variable demand forecasting?

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What is cloud cost optimization?

IBM Big Data Hub

However, cloud services costs can be higher than anticipated, so monitoring and optimizing your cloud spend is critical. Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value.

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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.

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Forecasting Solar Radiation using DataRobot to Optimize Power Generation

DataRobot Blog

There is a need to optimize supply to meet demand. One way to determine if supply can meet demand is to forecast how much solar power can be generated in advance. Forecasting how much solar power will be generated is directly dependent on the availability of solar radiation or sunlight in layman terms. DataRobot Core.

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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO Business Intelligence

“Organizations with little or no cloud cost optimization plans rush into cloud technology investments,” according to Gartner. Conclusion Reducing cloud waste and optimizing cloud costs are critical to gaining competitive advantage in the cloud. Resolving this dilemma is challenging.