Introduction Reinforcement learning (RL) is a type of machine learning that allows agents to learn how to behave in an environment by trial and error. RL agents are rewarded for…
Introduction Computer vision and image recognition are two rapidly developing fields of artificial intelligence with a wide range of applications in today's world. Computer vision is the ability of computers…
In the ever-evolving realm of technology, Natural Language Processing (NLP) stands as a cornerstone, bridging the gap between human language and artificial intelligence. This intricate field of computer science delves…
In the realm of artificial intelligence, neural networks stand as the cornerstone of innovation and achievement. They form the bedrock of deep learning, a subfield that has revolutionized various domains,…
In the rapidly evolving landscape of artificial intelligence, two distinct but closely related domains have emerged as frontrunners: Machine Learning (ML) and Deep Learning (DL). Both hold immense promise in…