Tag: Machine Learning

  • Applications of Computer Vision in waste management

    Applications of Computer Vision in waste management

    This article discusses the integration of artificial intelligence in the field of recycling. We will also train a model on the AIEX platform that can effectively sort waste materials using computer vision technology.

  • Ensemble Machine Learning

    Ensemble Machine Learning

    Ensemble machine learning is a powerful technique that leverages the strengths of multiple weak learning models, also known as base models, to improve the accuracy and stability of predictions. Ensemble methods can produce more robust and reliable predictions than any single model alone. This approach is particularly useful in complex problems where a single model…

  • Various Types of Regularization

    Various Types of Regularization

    Regularization is a technique used in Machine Learning and Deep Learning models to prevent overfitting. This paper introduces L1, L2, and dropout regularization methods.

  • Machine Learning Engineers Should Use Docker

    Machine Learning Engineers Should Use Docker

    Docker is a platform that enables developers to easily create, deploy, and run applications in containers, and has gained immense popularity since its public release in 2013. In this article, we will provide a brief introduction to Docker, and explore its application in the field of machine learning, where it can be used to create…

  • Dataset Development Lifecycle

    Dataset Development Lifecycle

    Google has come up with a framework for data collection inspired by software development concepts in a 5-step cyclical process. In this article, we will examine google’s proposed data collection framework.

  • How Tensorboard Works

    How Tensorboard Works

    In this article, we will introduce Tensorboard and explain how it can be used on AIEX.

  • What is Loss Function in Machine Learning

    What is Loss Function in Machine Learning

    The majority of machine learning algorithms work by minimizing or maximizing an ‘objective function’. Loss Functions are a group of objective functions that are supposed to be minimized. These functions are sometimes referred to as “cost functions” in artificial intelligence. Using the loss function, we can evaluate the ability of the model to predict new…

  • What is Transfer Learning?

    What is Transfer Learning?

    “Transfer learning” is a machine learning concept that involves storing machine knowledge and using it on different, related problems. For example, the knowledge gained from learning to recognize cars (from car images or videos) can also be applied to bus recognition problems.

  • Logistics monitoring is a piece of cake by computer vision

    Logistics monitoring is a piece of cake by computer vision

    Computer vision (CV) in logistics can promote the ability of manufacturers and managers to detect problems and optimize processes. The company owners can take advantage of artificial intelligence (AI) in logistics to enhance efficiency and effectiveness by accelerating manual processes as well as improving safety while significantly reducing operational costs.

  • What is a Generative Adversarial Network (GAN)?

    What is a Generative Adversarial Network (GAN)?

    A GAN (Generative Adversarial Network) is a framework to estimate generative models. This framework includes two models: generators and discriminators that are utilized to discover and learn the patterns in input data.