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8 Revolutionary Applications Examples of Machine Learning in Real-Life

Smart Data Collective

Artificial intelligence (AI) systems, like one known as VINNIE , can process the safety of blueprints or images, then report back with areas to improve on. Image Recognition. When it comes to automatically categorizing images, machine learning is the best in the game. Directions. Medical Diagnostics. Language Processing.

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What Is Image Processing : Overview, Applications, Benefits, and Who Should Learn It | Simplilearn

Simplilearn

One of the hottest topics buzzing in this industry is computer vision, the ability for computers to understand images and videos on their own. Self-driving cars, biometrics and facial recognition all rely on computer vision to work. Deep learning has had a tremendous impact on various fields of technology in the last few years.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Supervised, Unsupervised, and semi-supervised learning are further classified into five types based on the work done by the algorithms. The below image shows a group of clusters along with their centers. Deep learning is a subset of machine learning that works similar to the biological brain. Regression (Supervised).

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What is classification in context of machine learning and data science?

Analysts Corner

Classification is used in a variety of applications, such as image recognition, natural language processing, and predictive modeling. In this article, we will explore what classification is, how it works, and some of its common applications. How does classification work? What is classification?

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An Important Guide To Unsupervised Machine Learning

Smart Data Collective

Besides data mining, this tool is in-demand in the following fields: Market segmentation; Document clustering; Image segmentation; Pattern recognition; Insurance fraud detection and others. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics. In general, HMM is one of the most elaborate ML algorithms.

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Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

Optical Character Recognition, or OCR, is a technology for reading documents and extracting data. How does it work, and what are the clear benefits? OCR is a well-known technology developed for text recognition in any medium: photographic, handwritten, or digitized. How does OCR work? This article reveals all!

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How AI Can Improve Your Annotation Quality?

Smart Data Collective

We have mentioned that advances in Artificial intelligence have significantly changed the quality of images recently. Panoramic images are significantly changing the direction of modern art. One development that AI has led to is the growth of image annotation. For example, using an image annotation tool makes your job easier.