Machine Learning Expedition

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Machine Learning Expedition

Machine learning and its application to face recognition

Machine learning facial recognition in the security industry is a rapidly growing field that utilizes algorithms and statistical models to identify and verify individuals based on their facial features. The technology has numerous applications in various sectors, including law enforcement, border control, and surveillance. Facial recognition is a biometric modality

Image Classification with PyTorch

Image Classification with PyTorch

Image classification is a common task in computer vision that involves assigning labels or categories to images. It has many real-world applications such as facial recognition, photo organization, medical imaging analysis, self-driving cars, and more. In this post, we will walk through how to build and train an image classifier

LLMs for Software Engineering

Recent advances in large language models (LLMs) like Google's LaMDA, OpenAI's ChatGPT, Anthropic's Claude have demonstrated an impressive capability to understand and generate natural language. This has driven growing interest within the software engineering community to apply LLMs to aid developers in key tasks.

What is enterprise AI?

Artificial Intelligence (AI) has long left its secluded labs and theoretical papers to become an integral part of modern society. From recommendation algorithms that suggest the next movie to watch, to autonomous cars that can navigate the road without human intervention, AI is everywhere. However, one area where AI has

Overview of AWS Machine Learning Services

Machine learning is transforming industries and creating exciting opportunities across sectors. As a leader in cloud computing, Amazon Web Services (AWS) offers a robust set of tools and services to build, train, and deploy machine learning models with ease. In this comprehensive guide, we will explore the diverse portfolio of

Cost functions in machine learning

Cost functions are a critical component of machine learning models. They allow models to measure how well they are estimating the true values and enable optimization of the model parameters. This article will explain what cost functions are, outline the most common types, and describe their role in optimizing machine

Active Learning in Machine Learning

Active learning is a machine learning technique that seeks to minimize the amount of labeled data required to train accurate models. In active learning, models are able to interactively query data points from users or oracles. By only requesting labels for the most informative samples, active learning algorithms aim to