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When it comes to understanding computing processes, especially in today’s front end and backend development world, most of the times everything revolves heavily around analyzing the algorithmic architecture in tools, applications, or more complex pieces of software. In fact, a thorough analysis of what concerns the algorithmic side of things within the computing processing industry…Details
In the previous blog, Introduction to Object detection, we learned the basics of object detection. We also got an overview of the YOLO (You Look Only Once algorithm). In this blog, we will extend our learning and will dive deeper into the YOLO algorithm. We will learn topics such as intersection over area metrics, non…Details
Humans can easily detect and identify objects present in an image. The human visual system is fast and accurate and can perform complex tasks like identifying multiple objects and detect obstacles with little conscious thought. With the availability of large amounts of data, faster GPUs, and better algorithms, we can now easily train computers to…Details
Bonjour! Welcome to another part of the series on data visualization techniques. In the previous two articles, we discussed different data visualization techniques that can be applied to visualize and gather insights from categorical and continuous variables. You can check out the first two articles here: Data visualization for beginners – Part 1 Data visualization…Details
Deep Learning is on the rise, extending its application in every field, ranging from computer vision to natural language processing, healthcare, speech recognition, generating art, addition of sound to silent movies, machine translation, advertising, self-driving cars, etc. In this blog, we will extend the power of deep learning to the domain of music production. We…Details
Welcome to Part II of the series on data visualization. In the last blog post, we explored different ways to visualize continuous variables and infer information. If you haven’t visited that article, you can find it here. In this blog, we will expand our exploration to categorical variables and investigate ways in which we can visualize…Details
This is a series of blogs dedicated to different data visualization techniques used in various domains of machine learning. Data Visualization is a critical step for building a powerful and efficient machine learning model. It helps us to better understand the data, generate better insights for feature engineering, and, finally, make better decisions during modeling…Details
The meteoric rise of artificial intelligence in the last decade has spurred a huge demand for AI and ML skills in today’s job market. ML-based technology is now used in almost every industry vertical from finance to healthcare. In this blog, we have compiled a list of best frameworks and libraries that you can use…Details