Optimization Algorithms for Machine Learning Models
Lovekush Chaurasia, Amol Borse, Dr. Param Jeet, Amit Sood - August 15, 2019
Although a well-trained machine learning model can be used to process complex data, such as predicting a company’s employee attrition rate, it is crucial that the learning model be properly optimized in order to minimize errors and produce accurate results. In this white paper, we will explore the various optimization algorithms that can maximize a model’s learning process and output.
To download complete version click here
Why do Hackers IP Spoof & How to Prevent It
IP Spoofing is used to gain unauthorized access to a network by impersonating a source with authorized access.
Comprehensive Analysis of AWS, Azure and GCP Cloud Platforms
This paper is intended for an in-depth comparison of multiple cloud platforms.
Artificial Intelligence in Fintech
Around 100 million digital transactions happen monthly in India alone and generate terabytes of data almost daily.
IoT Security Concepts
Let us first start by defining security in an Internet
DevOps Implementation in Brownfield Projects
GlobalLogic sees it as a set of actions, less technical-transforming and more organizational-advancing
Microservices Test Automation: BDD With Cucumber JVM
Integration test cases are expected to be executed after deployment on QA environments on microservices.
Zaprimili smo Vaš upit i javit ćemo se uskoro.