Robust Machine Learning: Building Models Resilient to Adversarial Attacks
1. Adversarial Machine Learning Adversarial machine learning is a machine learning method that aims to trick machine learning models by providing deceptive input. Hence, it includes both the generation and detection of adversarial examples, which are inputs specially created to deceive classifiers. Such attacks, called adversarial machine learning, have been extensively explored in some areas, […]
A beginner- friendly guide to understanding Machine learning concept using python
What is Python? Python is the most used high-level was developed by Guido van Rossum and released first on February 20, 1991, It is interpreted programming language known for its readability and clear syntax. It provides various libraries and frameworks that simplify machine learning development. Python’s versatility and active community make it an ideal language […]
Difference between Machine Learning, Deep Learning, and NLP with Examples
Exploring the Foundations: Machine Learning, Deep Learning, and Natural Language Processing (NLP) Machine Learning: Machine learning algorithms analyze data, identify patterns, and make predictions or decisions based on those patterns: Machine learning algorithms are designed to process input data, extract relevant features, and learn patterns or relationships within the data. This enables them to make […]
Introduction to Supervised Machine Learning
Supervised learning is a machine learning technique that is widely used in various fields such as finance, healthcare, marketing, and more. It is a form of machine learning in which the algorithm is trained on labelled data to make predictions or decisions based on the data inputs. In supervised learning, the algorithm learns a mapping […]
Introduction to Machine Learning in Industry
Machine learning has become an integral part of various industries, revolutionizing the way businesses operate and make informed decisions. By leveraging algorithms and statistical models, machine learning algorithms analyze vast amounts of data to identify patterns, make predictions, and automate complex tasks. This article explores the real- world applications of machine learning in different industries, […]
