Representation learning, a part of decision tree representation in machine learning, is also known as feature learning. It comprises of a set of techniques that helps the system discover representations required to detect the features or to classify the raw data...
Guest Blogger (Data Science) at Digital Vidya. A passionate writer who dedicated the last 10 years of his life to content, marketing and business strategy. He graduated from Shaheed Sukhdev College of Business Studies (Delhi University) as a Bachelor of Business Studies majoring in Finance. He is a die-hard audiophile & Gourmet foodie.
Understanding Support Vector Machines and Its Applications
Support vector machines are a type of supervised machine algorithm for learning which is used for classification and regression tasks. Though they are used for both classification and regression, they are mainly used for classification challenges. The original SVM...
All About Data Structures and Algorithms in Python
Learning a programming language is not as complicated or daunting as it may sound. It's the best choice for beginners to start with Data Structures and Algorithms in Python. The amazing thing you counter here is its easy learning and use. In this article, our deep...
Understanding Machine Learning Algorithms
Want to know about Machine Learning Algorithms? To gain a better understanding of it, let's start from the basics. The most trending concept "machine learning" is the learning demonstrated by machines based on some data by which they function on their own and improve...