deep learning

New Artificial Intelligence Research Suggests ExaRanker: Exploring the Role of Natural Language Explanations in Improving Information Retrieval Models

New Artificial Intelligence Research Suggests ExaRanker: Exploring the Role of Natural Language Explanations in Improving Information Retrieval Models

Information retrieval (IR) problems have seen significant improvements in trained transformers such as BERT and T5, refined on millions of instances. The model is expected to perform better than unsupervised models when the queries and documents from the task of interest are comparable to those in the fine-tuning data. For example, in 15 out of …

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skops: a new library to improve scikit-learn in production – KDnuggets

skops: a new library to improve scikit-learn in production – KDnuggets

There are various challenges when it comes to machine learning models in manufacturing. These range from versioning reproducibility to secure serialization. In this blog post, I will guide you through the so-called skopsto meet these challenges. We will show a complete example: first train the model, serialize it, document our model and deploy it. # …

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Top 10 Linked List Data Structure Interview Questions –

Top 10 Linked List Data Structure Interview Questions –

Introduction Solving. Gain the ability to analyze algorithms Effective use of algorithms Data storage and maintenance Understanding temporal and spatial complexities A data structure is a capacity that is used to store and sort information. It is an approach to organizing information on a PC so that it can be accessed and restored efficiently. A …

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Vision Transformers Take Over Computer Vision Field Storm, Tue What Are Vision Transformers Learning?

Vision Transformers Take Over Computer Vision Field Storm, Tue What Are Vision Transformers Learning?

Vision transformers (ViTs) are a type of neural network architecture that has achieved enormous popularity for vision tasks such as image classification, semantic segmentation, and object detection. The main difference between the vision and the original transformers was the replacement of discrete text tokens with continuous pixel values ​​extracted from image fields. ViTs extracts features …

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The Basics of Statistics All Data Scientists and Analysts Should Know – With Code – Part 1

The Basics of Statistics All Data Scientists and Analysts Should Know – With Code – Part 1

This article is a comprehensive overview of the basics of statistics for data scientists and data analysts Picture from Clay banks on the Unsplash Building machine learning models is great for making predictions. However, they are not suitable when it comes to better understanding your business problem, which requires the most statistical modeling time. This …

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A new gaming framework for systematizing the body of knowledge on privacy inference risks in machine learning

A new gaming framework for systematizing the body of knowledge on privacy inference risks in machine learning

Machine learning (ML) models are becoming increasingly popular, but with this popularity comes growing concerns about training data leaks. Research has shown that an adversary can infer sensitive information from ML models through various methods, such as observing model outputs or parameters. To solve this problem, researchers have started using privacy games to capture threat …

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Use cases of machine learning in the food industry

Use cases of machine learning in the food industry

Artificial intelligence and machine learning solutions offer great opportunities in many industries to optimize and automate processes, save costs and reduce human errors. Food and beverages are no exception and can be used to advantage in restaurants, bars, cafes and even in food production. These two segments have common use cases where AI can be …

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