MongoDB doesn’t support SQL like operator to query the document, however, you can use the $regex operator with db.collection.find() method to get a similar result. The $regex operator is used to perform pattern matching against a string. Furthermore, we can search for documents in the… Read More »MongoDB Query with “like” Example AQSA Spark By {Examples}
You can use the $lookup to perform SQL join two MongoDB collections as mongo doesn’t have a join operator to perform traditional SQL-like joins. Moreover, a $lookup stage is used to perform a left outer join between two collections. Furthermore, the left outer joint… Read More »MongoDB SQL Join with Examples AQSA Spark By {Examples}
This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks. With terabytes of data generated by the… Read More »How VMware built an MLOps pipeline from scratch using GitLab, Amazon MWAA, and Amazon SageMaker Deepak Mettem AWS Machine Learning Blog
Amazon SageMaker Ground Truth Plus is a managed data labeling service that makes it easy to label data for machine learning (ML) applications. One common use case is semantic segmentation, which is a computer vision ML technique that involves assigning class labels to individual… Read More »Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus Jonathan Buck AWS Machine Learning Blog
By using the $ positional operator and the $set operator you can easily update the array elements in MongoDB including. Besides these there are various methods for updating arrays, In this article, we will cover all these including updating arrays based on array position… Read More »MongoDB Update Multiple Array Elements AQSA Spark By {Examples}
Recent achievements in supervised tasks of deep learning can be attributed to the availability of large amounts of labeled training data. Yet it takes a lot of effort and money to collect accurate labels. In many practical contexts, only a small fraction of the… Read More »Researchers From Tsinghua University Introduce A Novel Machine Learning Algorithm Under The Meta-Learning Paradigm Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
The mics were live and tape was rolling in the studio where the Miles Davis Quintet was recording dozens of tunes in 1956 for Prestige Records. When an engineer asked for the next song’s title, Davis shot back, “I’ll play it, and tell you… Read More »What Are Foundation Models? Rick Merritt – Archives Page 1 | NVIDIA Blog
Table of Contents Train a MaskFormer Segmentation Model with Hugging Face 🤗 Transformers Project Structure Requirements Bonus An Introduction to Image Segmentation What Is MaskFormer? 🤗Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Setup Loading the Dataset About the Dataset Loading… Read More »Train a MaskFormer Segmentation Model with Hugging Face Transformers Alara Dirik PyImageSearch
1. What is Ridge Regression? Ridge Regression is a type of regularized linear regression that helps to prevent overfitting. It is similar to ordinary least squares regression, but with an additional penalty term added to the cost function. The penalty term is a regularization… Read More »Ridge Regression With Examples Narender Kumar Spark By {Examples}
What is Data labeling? Data labeling is employed for machine learning algorithms to identify and comprehend objects properly. Face recognition, autonomous driving, aerial drones, robotics, etc., are all areas where ML has proven essential. Visual (photographic and cinematic), aural, and text data are now… Read More »Data Labeling and AI Revolution (2023) Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost