What is unsupervised learning and how is it used?
Unsupervised learning is a type of machine learning in which an algorithm examines data without labeled training samples or feedback. The goal is to find hidden patterns and relationships in the data. This is in contrast to supervised learning, where an algorithm learns from labeled inputs and outputs. Unsupervised learning algorithms are also called clustering…
Read MoreWhat is Supervised Learning?
Supervised learning is a type of machine learning where a computer is taught using examples of real data and “known” data, where the teacher knows the correct answer and teaches someone else. Learning can take any form, from simple human feedback or input to a more complex model that predicts the outcome of future events.…
Read MoreTokenization in NLP: Breaking Language into Meaningful Words
Tokenization is a fundamental concept in Natural Language Processing (NLP) that involves breaking down text into smaller tokens. Whether you’ve heard of tokenization before or not, this article will help you get the clear and concise explanation. What is Tokenization? Tokenization is the process of dividing a given text, such as a document, paragraph, or…
Read MoreWhat is the difference between Computer Vision and Photo Enhancement?
Computer vision is a field of computer science that studies how computers can be made for the purpose of interpreting images, videos, and other forms of data. It is often called machine vision or computer vision. And it deals with processing and understanding image data. This includes methods for acquiring, storing, analyzing, recognizing, and interpreting…
Read MoreTop 3 books to read about Computer Vision?
1 – Computer Vision: Algorithm and Application Click here to read Free PDF The focus of this book is on algorithms, applications, and techniques for image processing and recognition in computer vision. And this book is also discussed real-world applications and implementation and practical challenges for computer vision. It is one of the excellent books…
Read MoreThe Future and Scope of Machine Learning: Opportunities and Salaries
According to an MIT Sloan professor, machine learning has become one of the most important ways to implement artificial intelligence from a subfield of artificial intelligence (AI). As machine learning expands its reach, it is exciting to see its impact in industries such as IT, healthcare, media, digital marketing and computer programming. The Future of…
Read MoreDifference between Deep Learning and Natural Language Processing?
In the realm of artificial intelligence, two prominent domains, Deep Learning (DL) and Natural Language Processing (NLP), have emerged as powerful tools. While both are related to machine learning, they serve distinct purposes and possess unique characteristics. This article aims to delve into the dissimilarities between Deep Learning and Natural Language Processing, shedding light on…
Read MoreHow does Natural Language Processing work?
Machine learning algorithms are great at providing excellent insights. They’re perfect for spotting patterns we didn’t observe before we were able to make predictions with them. They’re tailor-made for specific scenarios and put many algorithms to use, allowing machines to perform a lot of our jobs. It can be hard to process such large amounts…
Read MoreWhat is Image Processing?
Have you ever wanted to change the color of a photo or remove something from your picture? Image processing is what you need! Image processing is the subset of Computer Vision. The transformations we apply on images are sharpening, smoothing, stretching etc. In order to get an enhanced, sharpened, and brighter image, or if we…
Read MoreWhat is Deep Learning?
Deep learning is a subset of Machine learning, which in turn is a subset of artificial intelligence, artificial intelligence is a fashion that enables a machine to mimic mortal gets machine learning is a fashion to achieve AI through algorithms trained with data and eventually. deep learning is a type of machine learning inspired by…
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