Neural networks are the foundation of modern AI and machine learning. In this blog, the complex concept of neural networks will be broken down into simple terms for beginners. It will explain how these networks simulate the way the human brain works, helping machines recognize patterns, make decisions, and solve problems. The post will explore how neural networks power technologies like image recognition, voice assistants, and even self-driving cars. Additionally, it will cover the difference between shallow and deep neural networks, and how they are used in deep learning to tackle more complex tasks. This is a perfect starting point for readers who are new to the world of AI.

‍

Often used interchangeably, Artificial Intelligence and Machine Learning are two distinct concepts, but they are closely related. This blog post will explain the key differences between the two. AI is the broader concept, encompassing systems that can perform tasks that would typically require human intelligence, while machine learning is a subset of AI that involves training algorithms to learn from data and improve over time. The blog will dive into the relationship between the two, how they complement each other, and where they overlap. The article will also cover real-world applications of machine learning algorithms that make AI systems smarter and more effective.