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Should I go for the decision that seems to be optimal, assuming that my current knowledge is reliable enough? Or should I go for a decision that seems to be sub-optimal for now, making the assumption ... Read more on this free link
The exploration, exploitation trade-off is a dilemma we frequently face in choosing between options. Should you choose what you know and get something close to what you expect .... Read more on this free link
Demand function represents the relationship between the quantity demanded for a commodity (dependent variable) and the price of the commodity (independent variable). . Read more on this free link
The demand curve is a graphical representation of the relationship between the price of a good or service and the quantity demanded for a given period of time. In a typical representation ... Read more on this free link
Wepresent our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Read more on this free link
K-means USE CASES: This clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. Read more on this free link
K-means USE CASES: This clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. Read more on this free link
With a world that's moving towards changing prices more and more dynamically, static pricing strategies can't keep up, and data-driven approaches have arrived to stay. In this post, we'll be focusing on how to perform data-driven price optimization, using a case study Read more on this free link
Why should B2B retailers include price optimisation and demand forecasting at the core of their digital transformation? Mo Joueid, Google Cloud Platform Practice Lead at Kin + Carta, shares some insights on this topic and how the Google Cloud team at Kin + Carta is supporting B2B supply chain optimisation journeys. . Read more on this free link
What's the optimal machine learning data split ratio and how to achieve it? Learn how to avoid overfitting and start building reliable machine learning models in hours, not weeks.Read more on this free link
What is the top pain point for business executives? Gartner, the world’s largest IT research firm, gives a clear answer: demand volatility. Too many factors — from weather fluctuations to posts by social media influencers ... Read more on this free link
The k-means algorithm is one of the oldest and most commonly used clustering algorithms. it is a great starting point for new ml enthusiasts to pick up, given the simplicity of its implementation. Read more on this free link
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