Dynamic

What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model

of Shopify, recently told his employees in an internal memo: “Before asking for more headcount and resources, teams must exhibit why they can not get what they need done using AI”. Having worked in...

The unique, mathematical shortcuts language models use to predict dynamic scenarios

Let’s say you’re reading a story, or playing a game of chess....

Gain a Higher Understanding of Computer Vision: Dynamic SOLO (SOLOv2) with TensorFlow

https://github.com/syrax90/dynamic-solov2-tensorflow2 – Source code of the project described within the article. Disclaimer ⚠️ To begin with, note that this project is just not production-ready code. and Why I Decided to Implement It from Scratch This project targets...

Economic Cycle Synchronization with Dynamic Time Warping

 — periods of expansion and contraction in output or financial markets — lie at the guts of macroeconomic evaluation. When countries share a typical currency, as within the eurozone, synchronized cycles are essential for a one-size-fits-all monetary...

Creating Dynamic Pivots on Snowflake Tables with dbt

Leverage dbt and its advanced scripting functionality to generate dynamic pivot tables that adapt to changing pivot valuesMost of us will approach this by writing SQL with case statements for every category. While this...

Dynamic Pricing with Contextual Bandits: Learning by Doing

Adding context to your dynamic pricing problem can increase opportunities in addition to challengesIn my previous article, I conducted a radical evaluation of the most well-liked strategies for tackling the dynamic pricing problem using...

Dynamic Pricing with Reinforcement Learning from Scratch: Q-Learning

An introduction to Q-Learning with a practical Python exampleThe agent is the one selecting the course of actions. In the instance, the agent is the player who controls the joystick deciding the following move...

Dynamic Pricing with Multi-Armed Bandit: Learning by Doing

Applying Reinforcement Learning strategies to real-world use cases, especially in dynamic pricing, can reveal many surprisesThat is the implementation of the simulation loop:The inputs to this function are:prices: An inventory of candidate prices we...

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