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MACHINE LEARNING
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Essential Resources for Data Science ML and AI Learning
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Explore Data Science and Latest AI Applications on Futuresmart
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Check out many blogs on wide range of data science topics to latest SOTA AI applications only on Futuresmart AI blog
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Lower Alpha: Smoothing Historical Data for Forecasting
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Lower α: Impact: A lower α assigns more weight to historical observations, providing smoother forecasts with less sensitivity to recent fluctuations.
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Exponential Smoothing Alpha Parameter for Demand Forecasting Adaptation
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Example: In demand forecasting for a product with rapidly changing consumer preferences, a higher α would allow the model to adapt quickly to sudden shifts in demand.
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Alpha Smoothing Factor Impact on Model Responsiveness
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1. Impact of α (Level Smoothing Factor): Higher α: Impact: A higher α gives more weight to recent observations, making the model more responsive to short-term fluctuations.
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Exponential Smoothing Parameters Alpha Beta Forecasting Model Quality
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The exponential smoothing method of forecasting parameters like alpha and beta matters greatly in deciding the model quality and accuracy of forecasting for various use cases. Learn more about these two parameters and how do they impact forecasting:
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Google’s Latest Transformer Model and Architecture Breakthroughs
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Do share thread on transformers and latest model by Google
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SliceGPT: Efficient Compression of Language Models
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[#Article] SliceGPT: A New Efficient LLM Compression Method https://actuia.com/actualite/slic
egpt-une-nouvelle-methode-de-compression-des-llms-efficace/
… #AI #artificialintelligence #LLM -
Autoencoders: The Foundation of Transformer Architecture
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Autoencoders – here it all began for transformers
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ChatGPT and Generative AI Innovation Strategy Discussion
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Link original post to inspiration on what to do by Gus Bekdash : https://
linkedin.com/posts/gus-bekd
ash_ai-strategy-innovation-activity-7163715982845276160-egq7?utm_source=share&utm_medium=member_ios
… #ChatGPT #chatbots #chatgpt4 #chatgpt3 #GenerativeAI #innovation #tech #CES2023 #ArtificialIntelligence #AI #MachineLearning #ML