-
Adversarial Attack: Definition and protection against this threat
An Adversarial Attack involves the manipulation or exploitation of a Machine Learning model using carefully crafted data. Explore the comprehensive insights into this concerning phenomenon that poses a significant challenge to the field of Artificial Intelligence.
Read more -
Sentry: What is it? What’s it for?
In today’s digital world, where online applications and services have become indispensable, error monitoring and management are essential aspects of software development. Sentry has proven itself to be a powerful and versatile tool to deal with these issues.
Read more -
A/B Testing: Principles, steps, use
AB testing is a statistical comparison method used to compare different variants of a basic version of a website page. The aim is to identify the most effective of these, according to the objectives defined. A/B testing can also be used to evaluate the performance of mobile applications and even conversion channels, including e-mail marketing or landing pages.
Read more -
MapReduce: how to use it for Big Data?
MapReduce is the programming model of the Hadoop framework. It enables the analysis of massive volumes of Big Data through parallel processing. Discover everything you need to know: overview, functioning, alternatives, benefits, training…
Read more -
Spyder: Everything you need to know about the Python IDE for Data Science
Spyder (Scientific PYthon Development EnviRonment) is an open-source IDE for the Python language, specially designed to meet the requirements of Data Science professionals. Find out everything you need to know about this essential tool created by a French developer.
Read more -
Joblib: What is this Python library? How do I use it?
La parallélisation peut être une solution efficace lorsque l’on souhaite accélérer ses processus de programmation, mais encore faut-il savoir le faire correctement.Parallelization can be an effective solution when you want to speed up your programming processes, but you need to know how to do it properly.
Read more -
Overfitting: what is it? How can I avoid it?
In this article, we present one of the pitfalls of supervised learning algorithms: overfitting. What is overfitting? Overfitting in Machine Learning is the risk of a model learning the training data “by heart”. In this way, it runs the risk of not being able to generalize to unknown data. For example, a model that returns […]
Read more -
Kernel: everything you need to know about the Machine Learning method
The Kernel is a Machine Learning classification method. Find out everything you need to know about it, and how to train to become a Data Scientist or Data Analyst.
Read more -
Excel to Power BI: how to transform a pivot table in Excel into a dataset that can be used by Power BI?
Do you want to leverage data with Power BI, especially from your Excel files? Check out our tutorial on how to transform pivot tables into actionable datasets.
Read more -
PL-300: How to obtain “Power BI Analyst Associate” certification?
By taking the PL-300 exam, available from February 28, 2022, you’ll prove your ability to prepare, model, visualize and analyze data to become a Power BI Analyst Associate. As a Power BI data analyst, you’ll collaborate with the key parts of your business. You’ll identify their needs, then cleanse and transform data, in order to design data models with Power BI.
Read more -
Exporting Power BI to Microsoft Excel: The complete guide
Exporting data from a Power BI dashboard or report to Excel is not always easy. Find out how to transfer datasets between the two Microsoft applications, and how to take a training course to master Power BI completely.
Read more -
Apache Kafka: the real-time data processing platform
Apache Kafka is a real-time streaming data processing platform. Discover everything there is to know to master Kafka.
Read more
The newsletter of the future
Get a glimpse of the future straight to your inbox. Subscribe to discover tomorrow’s tech trends, exclusive tips, and offers just for our community.
