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Demystifying the Central Limit Theorem: A Guide to Understanding and Application
Reaffirming the importance of the normal distribution, the central limit theorem is one of the key concepts in statistics. So what exactly is it? How does it translate? And above all, how is it applied? That’s what we’ll be looking at in this article. The central limit theorem and convergence to the normal distribution The […]
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ACID: All about this important concept in Database Management
The ACID (Atomicity, Consistency, Isolation, Durability) approach ensures the integrity of data within a database. Find out everything you need to know about this concept. Big Data offers many opportunities. However, to process the huge volume of Data generated every day, it is necessary to use databases. A database is a set of data, structured […]
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Database: what is it, and how does it work?
Databases are used to store and manipulate data. Find out everything you need to know about it, and why you should start a Data Management course. To understand what a database is, it is important to first understand what data is. Simply put, it is information that can be linked to any object. They can […]
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Big Data: Definition, technologies, uses and training
Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. Find out everything you need to know about the subject. What is called Big Data? Before defining Big Data it is important to understand what Data is. This term defines quantities, characters or symbols that […]
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Jupyter Notebook: An indispensable code-sharing tool
Jupyter Notebook is a web application that lets you create electronic notebooks capable of combining text, images, computer code or equations, all in the same document. In the interests of readability and document source code utilization, it’s best to run the application from the same interface, and see changes in real time. This is exactly […]
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The importance of Cross Validation
Cross-Validation is a method for testing the performance of a Machine Learning predictive model. Discover the most commonly used techniques and how to learn to master them. After training a Machine Learning model on labeled data, it is supposed to work on new data. However, it’s essential to ensure the accuracy of the model’s predictions […]
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KNN: What is the KNN Algorithm ?
The K-Nearest Neighbors (KNN) algorithm is a machine learning algorithm belonging to the class of simple and easy-to-implement supervised learning algorithms. It can be used to solve classification and regression problems. In this article, we will delve into the definition of this algorithm, how it works, and provide a practical programming application. KNN : Definition […]
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Alteryx: What is it? How does it work?
In the digital age, businesses collect thousands of pieces of data every day, which are essential to their development. As technology develops, more and more data is created, to the point where analysing it becomes back-breaking. To make this task easier, many tools, such as Alteryx, offer to centralise and analyse the newly formed data. […]
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Demystifying SQL Index: Understanding its Purpose and Functionality
An SQL index enables you to quickly locate the data you’re looking for in a relational database. Find out all you need to know about this valuable tool, and why it’s so useful in Data Science! Efficient access to information is a priority in Data Science. That’s why professionals use databases to manage, store and […]
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Data Engineer: All about the job, required skills, and salary
The Data Engineer’s role is to prepare the data for the Data Scientist to analyze. Big Data and Data Science are growing, and more and more jobs are emerging in this field. Today, we’re going to take a closer look at one of the three main data science jobs, alongside the roles of Data Scientist and […]
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“train_test_split: Tutorial on how to use this function
A Machine Learning model is capable of learning autonomously from one dataset, with the aim of predicting behavior on another dataset. To do this, it finds underlying relationships between independent explanatory variables and a target variable in the initial dataset. It then uses these patterns to predict or classify new data. How do I define […]
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Recommendation algorithm: What is it? How does it work?
When YouTube recommends videos that match our current interests, or when Amazon suggests products we might find intriguing, what mechanisms are at play? Recommendation algorithms. These are highly intricate systems developed to further personalize the user experience, though with the potential risk of producing sometimes undesirable effects of polarization. They also spark debates regarding the […]
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