Good morning. It’s Monday, September thirtieth.Did you realize: On at the present time in 1996, the Nintendo 64 was officially released in North America. OpenAI’s Future Pricing Plan California...
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...
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...
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...
GPT-4 API Pricing AnalysisThe current model behind the GPT-4 API is called gpt-4–0314. To access this model through the GPT-4 API, it would cost: $0.03 per 1k prompt request tokens* $0.06 per 1k completion...
After I moved to San Francisco, the quirky rotunda at 532 Market Street was a Sharper Image store stuffed with plasma balls and tourists trying out massage chairs.
The ETrade branch that took over the...
Hello, and welcome to my blog series! I actually have all the time desired to share my thoughts and insights on credit risk within the banking industry. As a Junior Author and Data Scientist/Quant,...
Data viz is like the ultimate step in delivering insights. Analyst craft beautiful insights but sometimes they don’t have enough time to create amazing visualizations. Unfortunately, this could take away from the effectiveness of...