Everything under the sun on new technologies. By Frank Berrocal.
Everything under the sun on new technologies. By Frank Berrocal.
Deep learning, a subset of machine learning, uses neural networks to perform complex tasks like image recognition and natural language processing. Despite its potential, it faces challenges such as large data and computational needs, model interpretability, and overfitting. Popular applications include healthcare, computer vision, and robotics.
Deep Learning : 7 considerations for a successful understanding Read More »
Machine learning (ML) is a subset of artificial intelligence (AI) that involves designing algorithms that can learn from and make predictions on data. It is a powerful tool that can be applied to a wide range of fields, from business to healthcare to self-driving cars. In this article, we will provide an overview of machine learning, explain the differences between supervised, unsupervised, and reinforcement learning, discuss common algorithms used in ML, and explore its real-world applications and challenges. By the end of this article, you will have a better understanding of what machine learning is and how it can be used to solve complex problems.
Machine Learning: A Comprehensive Overview in 5 steps Read More »