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What is Adam Optimizer?

Analytics Vidhya

Introduction In deep learning, optimization algorithms are crucial components that help neural networks learn efficiently and converge to optimal solutions. appeared first on Analytics Vidhya.

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Optimize Python Code for High-Speed Execution

Analytics Vidhya

This article will explore techniques, strategies, and best practices to optimize Python code and make it run incredibly fast. […] The post Optimize Python Code for High-Speed Execution appeared first on Analytics Vidhya. However, one common concern among Python developers is the performance of their code.

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Price Optimization in E-Commerce

Analytics Vidhya

Introduction Price optimization is a critical component of e-commerce that involves setting the right prices for products to achieve various business objectives, such as maximizing profits, increasing market share, and enhancing customer satisfaction.

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Optimization Essentials for Machine Learning

Analytics Vidhya

Where is Optimization used in DS/ML/DL? The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya. What are Convex […].

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. What are some of the most common use cases for mathematical optimization across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains?

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Optimize Resource Usage with the Mixture of Experts and Grok-1

Analytics Vidhya

However, these advantages come at the cost of high computational requirements […] The post Optimize Resource Usage with the Mixture of Experts and Grok-1 appeared first on Analytics Vidhya.

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How to Optimize Revenues Using Dynamic Pricing?

Analytics Vidhya

The answers to these questions […] The post How to Optimize Revenues Using Dynamic Pricing? appeared first on Analytics Vidhya. Who decides when to change these prices or to what extent? Who decides the right price at the right time?

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Inventory optimization. Warehouse optimization. Read about 5 use cases.

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Guide to Mathematical Optimization & Modeling

For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. This guide is ideal if you: Want to understand the concept of mathematical optimization.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

How you can reach optimal performance on large datasets while improving query performance and user concurrency by 10x. How to achieve speed of thought query performance and consistent KPIs across any BI/AI tool, such as Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more.