Greg Walters on PyTorch and real-world implementations and future potential of GANs
Introduced in 2014, GANs (Generative Adversarial Networks) was first presented by Ian Goodfellow and other researchers at the University of Montreal. It comprises of...
Elastic marks its entry in security analytics market with Elastic SIEM and Endgame acquisition
For many years, Elastic Stack has served as an open-source, simple yet powerful interface for security analysts to detect and mitigate malicious behavior. However,...
“The challenge in Deep Learning is to sustain the current pace of innovation”, explains...
If we talk about recent breakthroughs in the software community, machine learning and deep learning is a major contender - the usage, adoption, and...
Why should you consider becoming ‘AWS Developer Associate’ certified?
Organizations both large and small are looking to automating their day-to-day processes and the best option they consider is moving to the cloud. However,...
Abel Wang explains the relationship between DevOps and Cloud-Native
Cloud-native is microservices containers and serverless apps that run in multi-cloud environments and are managed by DevOps processes. However, the relationship between these is...
Why secure web-based applications with Kali Linux?
The security of web-based applications is of critical importance. The strength of an application is about more than the collection of features it provides....
Master the art of face swapping with OpenCV and Python by Sylwek Brzęczkowski, developer at...
No discussion on image processing can be complete without talking about OpenCV. Its 2500+ algorithms, extensive documentation and sample code are considered world-class for...
Getting to know PyMC3, a probabilistic programming framework for Bayesian Analysis in Python
Bayes' theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probability. This theorem is used to revise or...
Kaggle’s Rachel Tatman on what to do when applying deep learning is overkill
Deep learning, an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It...
Why decision trees are more flexible than linear models, explains Stephen Klosterman
This blog post will examine a hypothetical dataset of website visits and customer conversion, to illustrate how decision trees are a more flexible mathematical...