Operations on Vectors in R
Last Updated on August 27, 2023 Vectors in R is the native way of handling data. In addition to the vector operations you saw in the linear algebra textbook, R supports a lot more. In this post, you...
View ArticleBuilt-in Datasets in R
Last Updated on August 27, 2023 The ecosystem in R contains not only the function libraries to help you perform statistical analysis but also the data library that gives you some famous datasets to...
View ArticleLogic, Flow Control, and Functions in R
R is a procedural programming language. Therefore, it has the full set of flow control syntax like many other languages. Indeed, the flow control syntax in R is similar to Java and C. In this post, you...
View ArticlePlotting Graphs in R
Last Updated on September 5, 2023 Visualizing data can sometimes help people understand it better. As a data analytics platform, R provided some advanced plotting functions. In this post, you will...
View ArticleGenerating Random Numbers in R
Last Updated on September 5, 2023 Whether working on a machine learning project, a simulation, or other models, you need to generate random numbers in your code. R as a programming language, has...
View ArticleStatistical Tests in R
Last Updated on September 11, 2023 R as a data analytics platform is expected to have a lot of support for various statistical tests. In this post, you are going to see how you can run statistical...
View ArticleA Gentle Introduction to Using R Markdown
Last Updated on September 18, 2023 One reason people would like to use RStudio for their work is because of the R Markdown. This made the RStudio not only an IDE for programming in R, but also a...
View ArticleExploring Data using dplyr in R
Last Updated on September 26, 2023 When you are working on a data science project, the data is often tabular structured. You can use the built-in data table to handle such data in R. You can also use...
View ArticleUsing ggplot2 for Visualization in R
Last Updated on September 26, 2023 One of the most popular plotting libraries in R is not the plotting function in R base, but the ggplot2 library. People use that because it is flexible. This library...
View ArticleA Gentle Introduction to OpenCV: An Open Source Library for Computer Vision...
If you are interested in working with images and video and would like to introduce machine learning into your computer vision applications, then OpenCV is a library that you will need to get hold of....
View ArticleHow to Read, Write, Display Images in OpenCV and Converting Color Spaces
When working with images, some of the most basic operations that are essential to get a grip on include reading the images from disk, displaying them, accessing their pixel values, and converting them...
View ArticleHow to Read and Display Videos Using OpenCV
Digital videos are close relatives of digital images because they are, indeed, made up of many digital images that are sequentially displayed in rapid succession to create the effect of moving visual...
View ArticleK-Means Clustering in OpenCV and Application for Color Quantization
The k-means clustering algorithm is an unsupervised machine learning technique that seeks to group similar data into distinct clusters, with the aim of uncovering patterns in the data that may not be...
View ArticleHow to Transform Images and Create Video with OpenCV
When you work with OpenCV, you most often work with images. However, you may find it useful to create animation from multiple images. Chances are that showing images in rapid succession may give you...
View ArticleK-Means Clustering for Image Classification Using OpenCV
In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover...
View ArticleFast and Cheap Fine-Tuned LLM Inference with LoRA Exchange (LoRAX)
Sponsored Content By Travis Addair & Geoffrey Angus If you’d like to learn more about how to efficiently and cost-effectively fine-tune and serve open-source LLMs with LoRAX, join our November...
View ArticleK-Nearest Neighbors Classification Using OpenCV
The OpenCV library comes with a module that implements the k-Nearest Neighbors algorithm for machine learning applications. In this tutorial, you are going to learn how to apply OpenCV’s k-Nearest...
View Article365 Data Science Offers All Courses 100% Free for 2 Weeks
Sponsored Content From November 6 (07:00 PST) to 20 (07:00 PST), 365 Data Science offers free unlimited access to its entire curriculum, featuring interactive courses, hands-on data projects, and...
View ArticleImage Feature Extraction in OpenCV: Edges and Corners
In the world of computer vision and image processing, the ability to extract meaningful features from images is important. These features serve as vital inputs for various downstream tasks, such as...
View ArticleImage Feature Extraction in OpenCV: Keypoints and Description Vectors
In the previous post, you learned some basic feature extraction algorithms in OpenCV. The features are extracted in the form of classifying pixels. These indeed abstract the features from images...
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