In a world that is constantly changing, Artificial intelligence And the data science have taken a major place in the success of businesses. Whether you are an executive, an IT professional, a marketing manager, a data analyst, or a sales manager, understanding the fundamental concepts of these technologies has become essential.
This article aims to guide you through these concepts by making them accessible and relevant to your business.
One algorithm is a set of rules that computers follow to perform calculations or solve problems. In business, algorithms are used to solve various problems. For example, in the logistics sector, route optimization algorithms reduce delivery costs and improve operational efficiency.
The clustering consists in grouping similar data into clusters. In retail, clustering can be used to segment customers based on their buying behaviors. This makes it possible to personalize offers and increase customer loyalty.
“Features” are the data we use to make decisions. In the financial industry, for example, “features” may include information about customers' payment histories, used to assess the risk of default.
A “label” is the label assigned to each result of a machine learning model. In the healthcare sector, a model can be trained to predict whether a patient is at risk of developing a specific disease, allowing for early intervention.
The Machine Learning allows computers to learn without being explicitly programmed. In online marketing, it is commonly used to personalize product recommendations based on user browsing behavior.
A model is a learned representation of the relationships between “features” and the “label”. In the e-commerce sector, a model can predict which products a customer might be interested in by analyzing their purchase history.
Structured data follows a predefined pattern. For example, in human resources, structured data may include employee information stored in a database.
Supervised learning is used to solve prediction problems. In manufacturing, it can be used to predict production downtime based on historical data.
The target variable represents what you want to predict. In the online retail industry, the target variable may be the conversion rate from visitors to buyers.
Unstructured data, such as customer reviews, is used to gain insights into customer satisfaction and improve products or services.
Unsupervised learning is used to uncover hidden trends. In the online advertising industry, it can help identify consumer groups with similar interests.
LlamaIndex is ideal for applications requiring a researching And a salvage efficient large quantities of data, thanks to its optimized indexing capabilities. LangChain, on the other hand, is best for developers looking to build applications LLM flexible and complex requiring extensive customization and integration. By understanding the characteristics and strengths of each framework, developers can choose the best tool for creating applications. AI powerful and effective.
Grégoire
CTO - Data Scientist
gregoire.mariot@strat37.com
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