Machine learning is an area of AI where the likes of ChatGPT and other famous models were created. These systems were all created with neural networks. The field of machine learning that deals with the creation of these neural networks is called deep learning.  In this blog post, we'll

freeCodeCamp is a nonprofit organization offering free online coding courses and programming tutorials, covering topics such as web development, data science, and machine learning. Learners can gain practical coding skills, build real-world projects, and earn certifications to advance their careers in tech.

freeCodeCamp

Learn how to create a hybrid neural network that combines classical and quantum computing to predict the species of iris flowers. The post covers an introduction to AI and hybrid neural networks, details the benefits of quantum computing in AI, and provides step-by-step code for building and testing the model using Python and libraries like PennyLane and sklearn.

How to Build a Quantum AI Model for Predicting Iris Flower Data with Python

Introduction to AI, Hybrid Neural Networks and Its Benefits

Quantum AI in Action: Predicting Iris Flower Data with Python

Conclusion: The Future of Efficient AI Models