This article was published as a part of the Data Science Blogathon. Introduction Neural Networks have acquired enormous popularity in recent years due to their usefulness and ease of use in the fields of Pattern Recognition and Data Mining. Deep Learning’s application to tasks such as object identification and voice recognition through the use of techniques […]

The post What are Graph Neural Networks, and how do they work? appeared first on Analytics Vidhya.

This article was published as a part of the Data Science Blogathon. In this article, we will be doing pose detection using Mediapipe and OpenCV. We will go in-depth about all the processes and code for the same later in the article but before let’s understand some real-world use cases of Pose detection.   Image Source: […]

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This article was published as a part of the Data Science Blogathon. Introduction Pose Detection is a subset of the Computer Vision (CV) technique that predicts the tracks and location of a person or object. This is done by looking at the combination of the poses and the direction of the given person or object. This […]

The post Cricket Shot Classification using Pose of the Player Image appeared first on Analytics Vidhya.

Datasets - properly curated and labeled - remain a scarce resource. What can be done about this?

The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes. Read this article to know more.

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […]

The post Text Data Augmentation in Natural Language Processing with Texattack appeared first on Analytics Vidhya.

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making a very interesting application i.e. Color picker which have many use cases but the main use case of this application is that it can be widely used by UI/UX designer who has to pick the […]

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This article was published as a part of the Data Science Blogathon. The basics of object detection problems are how the data would look like. Now, this article will discuss the different deep learning architectures that we can use to solve object detection problems. Let us first discuss the problem statement that we’ll be working […]

The post Blood Cell Detection in Image Using Naive Approach appeared first on Analytics Vidhya.

In an earlier post, IBM industry expert Scott Campbell talked about how manufacturers are pursuing resiliency and Zero D to stop defects and improve products and service quality. In part two of our discussion, he discusses how mitigating rework can save millions and offers some insights on the value of creating citizen data scientists. Can […]

The post Intelligent asset management and the race to Zero D appeared first on IBM Business Operations Blog.

The first installment will be $15 million.

XRSPACE has landed $15 million of investment from electronics manufacturer Foxconn, in a partnership that could be worth $100 million

The post XRSPACE teams up with Foxconn to conquer the Metaverse appeared first on VRWorldTech Magazine.

This article was published as a part of the Data Science Blogathon. Introduction Every supervised machine learning technique basically solves either classification or regression problems. Classification is a kind of technique where we classify the outcome into distinct categories whose range is usually finite. Whereas a regression technique involves predicting a real number whose range is […]

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