Data Mashup: What is it? How does it work?
The “Data Mashup” refers to the process of integrating data from various sources into a single coherent and analyzable set. These sources may include internal databases, Excel files, social media streams (for reviews or sentiment analysis, for example), platforms like Google Analytics, or even third-party systems accessed via APIs. Unlike traditional data integration methods, which […]
Weighted average: What is it? How to calculate it?
When used for analytical purposes, calculating a simple average can be misleading. By applying weights to certain numbers in a list, you can achieve a much more precise understanding. Not all information has the same level of importance, and any insightful analysis of a sector needs to account for this factor. Relying on straightforward formulas […]
Data Center Technician: What is it? How to train for it?
The Data Center Technician is tasked with safeguarding the security and uptime of data centers. Their responsibilities span managing equipment and expediting responses in the event of a malfunction. Explore their daily routine, skill set, and the hurdles this specialist must overcome! The amount of data generated each day is increasing at an exponential rate. […]
What is Generative Engine Optimization (GEO)?
The advent of artificial intelligence is impacting more and more fields. Web search is not excluded from this trend. New AI search engines have given rise to a new discipline capable of succeeding SEO: GEO… GEO (Generative Engine Optimization) is an innovative approach to SEO that considers how users access content through AI-based search engines […]
ROC AUC curve: essential metrics for Machine Learning models
The ROC (Receiver Operating Characteristic) curve and its associated metric AUC (Area Under the Curve) are essential tools for assessing classification models in machine learning. These metrics offer crucial insights into a model’s capability to differentiate between classes, particularly in binary classification scenarios. The Fundamentals of ROC AUC The ROC curve essentially serves as a […]
TensorFlow Extended (TFX): What is it? How to use it?
TensorFlow Extended (TFX) is a robust platform developed by Google, designed to standardize and optimize the entire lifecycle of machine learning (ML) models. With its numerous components and advanced integrations, TFX enables businesses to build automated and scalable pipelines, ensuring quality and traceability of processes. In this article, we delve deeply into the features of […]
Fileless Malware: How can you protect yourself?
In today’s digital landscape, cyber threats are evolving along an increasingly complex and insidious path. Fileless malware stands at the forefront of technological sophistication, representing a type of cyberattack that challenges traditional cybersecurity paradigms. These malicious programs starkly contrast with traditional viruses and malware due to their ability to operate without leaving any physical traces […]
An Introduction to Golang development
Golang, often simply referred to as Go, is an open-source programming language developed by Google and released in 2009. Crafted by Robert Griesemer, Rob Pike, and Ken Thompson, this language is designed to provide a fast, efficient, and easily maintainable solution for modern software development, particularly in the realms of distributed systems, cloud, and back-end […]
What is Backend Go?
Go (or Golang) is a language developed by Google that has become an excellent choice for backend developers. This is due to Go’s strong ability to handle complex systems along with its great efficiency in terms of productivity. Concurrency Management Backend development often requires handling numerous connections and processes simultaneously. Go offers outstanding support for […]
Bagging vs Boosting: What is the Difference?
When the performance of a single model falters in delivering accurate predictions, ensemble learning techniques often emerge as the preferred solution. The most renowned methods, Bagging (Bootstrap Aggregating) and Boosting, aim to enhance the accuracy of predictions in machine learning by amalgamating the outcomes from individual models to derive more robust and precise final predictions. […]
Zero Trust Architecture: Security Without Implicit Trust
Amid escalating sophistication of cyber threats, Zero Trust architecture presents itself as an innovative security model. Initially conceptualized by Stephen Paul Marsh in his doctoral thesis in 1994 and later popularized by John Kindervag of Forrester Research in 2010, this concept is revolutionizing the way we approach information security. Google was among the first tech […]
All about RoPo (Research Online, Purchase OffLine)
The RoPo phenomenon (which stands for Research Online Purchase Offline) refers to the behaviour of consumers who seek information about products via online channels before finalising their purchase in a physical outlet. Let’s take a closer look in this article. What is the reality of RoPo behaviour? According to a recent study conducted by PwC, […]
