Intelligence can be defined as the ability to learn, understand and apply knowledge and skills. Human Intelligence is a multifaceted concept that encompasses many types. Before understanding the types of human intelligence let’s have a look at the basic difference between Human intelligence and Artificial intelligence − Human intelligence ... Read More

A transfer neural network is a deep learning architecture that handles long-range dependencies well, as was first described in Vaswani et al's 2017 paper "All you need is attention.". The self-attention mechanism of transformer networks allows them to identify relevant parts of input sequences. What are Recurrent Neural Networks? Recurrent ... Read More

TFlearn is an open-source deep-learning library built on the TensorFlow framework. It provides a high-level API with which it is easy to create and train different neural network models. It provides an array of pre-existing models such as Convolutional Neural Network (CNN), Deep Neural Networks (DNN), and many other models. ... Read More

PyTorch, an open-source machine learning framework, is widely used in academic research and industries. It offers ample tools and libraries to build and train neural networks effectively. Tensors in PyTorch In PyTorch, a tensor is a multidimensional array of values that can be used to represent data for machine learning ... Read More

Machine learning uses the mathematical approach of Singular value decomposition to comprehend huge and complicated data sets. In this mathematical approach, a Unique Valued matrix A is factorized into three matrices via decomposition. In terms of the components of A, the Singular value decomposition of matrix A can be written ... Read More

Support Vector Machine (SVM) is a supervised algorithm used widely in handwriting recognition, sentiment analysis and many more. To separate different classes, SVM calculates the optimal hyperplane that more or less accurately creates a margin between the two classes. Here are a few ways to separate hyperplanes in SVM. ... Read More

Any dataset used in Machine Learning algorithms may have a number of dimensions. However, not all of them contribute to giving an efficient output and simply cause the ML Model to perform poorly because of the increased size and complexity. Thus, it becomes important to eliminate such features from the ... Read More

Recommendation system is a tool in python that suggests items or content to users based on their preferences and past behaviors. This technology utilizes algorithms to predict users' future preferences, thereby providing them with the most relevant content. The scope of this system is vast, with widespread use in various ... Read More

"Artificial intelligence" (AI) is a branch of computer science that tries to give computers the ability to comprehend spoken and written words similar to human beings which is a field of "natural language processing" (NLP). Computational linguistics combines a variety of technologies, including deep learning, machine learning, and statistics. Combining ... Read More

Alteryx is a user-friendly Data analytics platform. It is a robust data analytics and processing platform that enables users to extract, transform and process data from multiple sources and perform complex computation and analysis using a drag-and-drop interface. The reason behind the tool’s wide usage and fame is its no-code ... Read More