Deep Learning Deep learning emerged from a decade’s explosive computational growth as a serious contender in the field. Thus, deep learning is a particular kind of machine learning whose algorithms are inspired by the structure and function of human brain. Machine...
Computer Vision Computer vision is a discipline that studies how to reconstruct, interrupt and understand a 3d scene from its 2d images, in terms of the properties of the structure present in the scene. Computer Vision Hierarchy Computer vision is divided into three...
Reinforcement Learning This type of learning is used to reinforce or strengthen the network based on critic information. That is, a network being trained under reinforcement learning, receives some feedback from the environment. However, the feedback is evaluative and...
Artificial Neural Networks (ANN) Artificial Neural network (ANN) is an efficient computing system whose central theme is borrowed from the analogy of biological neural networks. ANNs are also named as Artificial Neural Systems, Parallel Distributed Processing Systems,...
Speech Recognition Speech is the most basic means of adult human communication. The basic goal of speech processing is to provide an interaction between a human and a machine. Speech processing system has mainly three tasks − First, speech recognition that allows the...
Unsupervised Learning Clustering Unsupervised machine learning algorithms do not have any supervisor to provide any sort of guidance. That is why they are closely aligned with what some call true artificial intelligence. In unsupervised learning, there would be no...
Supervised Learning: Regression Regression is one of the most important statistical and machine learning tools. We would not be wrong to say that the journey of machine learning starts from regression. It may be defined as the parametric technique that allows us to...
Building a Classifier The classification technique or model attempts to get some conclusion from observed values. In classification problem, we have the categorized output such as “Black” or “white” or “Teaching” and “Non-Teaching”. While building the classification...
Preprocessing the Data In order to provide the data as the input of machine learning algorithms, we need to convert it into a meaningful data. That is where data preprocessing comes into picture. In other simple words, we can say that before providing the data to the...
Machine Learning (ML) Learning means the acquisition of knowledge or skills through study or experience. Based on this, we can define machine learning (ML) as follows: It may be defined as the field of computer science, more specifically an application of artificial...
Artificial Neural Networks (ANNs) An artificial neuron receives a signal then processes it and can signal neurons connected to it. The inventor of the first neurocomputer, Dr. Robert Hecht-Nielsen, defines a neural network as a computing system made up of a number of...
What are Expert Systems? The expert systems are the computer applications developed to solve complex problems in a particular domain, at the level of extra-ordinary human intelligence and expertise. Characteristics of Expert Systems High performance Understandable...
Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English. Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions,...
Searching is the universal technique of problem solving in AI. There are some single-player games such as tile games, Sudoku, crossword, etc. The search algorithms help you to search for a particular position in such games. Single Agent Path finding Problems The games...
Artificial Intelligence research areas and Agent are discussed in the article. Here firstly we are going to know about speech and voice recognition. Speech and Voice Recognition These both terms are common in robotics, expert systems and natural language processing....
What is Artificial Intelligence? AI has the potential to help humans live more meaningful lives that are devoid of hard labour. According to the father of Artificial Intelligence, John McCarthy, it is “The science and engineering of making intelligent machines,...
Relational Algebra The part of mathematics in which letters and other general symbols are used to represent numbers and quantities in formula and equations. Ex: (x + y) · z = (x · z) + (y · z). The main application of relational algebra is providing a theoretical...
Components of the Database System Environment There are five major components in the database system environment and their interrelationships are. Hardware Software Data Users Procedures Hardware: The hardware is the actual computer system used for keeping and...
What is DBMS? A Database Management System (DBMS) is a collection of interrelated data and a set of programs to access those data. Database management systems (DBMS) are computer software applications that interact with the user, other applications, and the database...
Scoping is one of the superpowers that eloquent grants to developers when querying a model. Scopes allow developers to add constraints to queries for a given model. In simple terms laravel scope is just a query, a query to make the code shorter and faster. We can...