Artificial Intelligence

Supervised Learning strategies - regression versus classification: Unsupervised and Classification algorithms are supervised learning algorithms. Both of these algorithms are used to predict machine leaming and work with label datasets, But he difference between the two is how they are applied to various machine learning problems. The main difference between Regression and Classification algorithms is that Classification algorithm is used to predict the discrete values such as Male or Female, True or False, Spam…

Machine learning areas & methods is a rapidly evolving technology, made possible by the Internet, which can have a profound impact on our daily lives. Machine learning areas traditionally refers to the artificial creation of human areas-like intelligence that can read, discuss, organize, understand, or use natural language. Areas of Machine Learning and grades for supervision : Machine learning is the name of modern technology, and it is growing very fast day by day. We machine…

Artificial Intelligence (AI) is a rapidly evolving technology, made possible by the Internet, which can have a profound impact on our daily lives. Machine learning traditionally refers to the artificial creation of human-like intelligence that can read, discuss, organize, understand, or use natural language. Types of machine learning algorithms : Choosing the right algorithm is part of science and part of art. Two data scientists tasked with solving the same business challenge can select…

 Machine Learning : Artificial Intelligence (AI) is a rapidly evolving technology, made possible by the internet, which can have a profound impact on our daily lives. Al traditionally refers to the artificial creation of human-like intelligence that can read, discuss, organize, understand, or use natural language. These qualities allow Al to bring greater economic Opportunities, while also posing ethical and economic challenges. Since Al is an Internet- enabled technology, the Internet Society recognizes that…

Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources. In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP). information extraction refers to the automatic extraction of structured information such as entities, relationships between entities, and attributes describing entities from Information Extraction refers to the automatic extraction of structured information Such identify…

Another way to think about classification is as a pagerank problem in data compression. A lossless Compression algorithm takes a sequence of symbols, detects recreated patterns in it, and writes a description of the sequence that is lot of compact than the original. For example, the text0.142857 142857 142857" might be compressed to "0. [142857] *3." Compression algorithms work by dictionaries of sub sequences of the text, and then referring to entries within the…

NPL: the ability to understand and process human languages. It is important in order to fill the gap in communication between humans and machines. Natural Language Processing (NLP), by definition, is a method that enables the communication of humans with computers or rather a computer program by using human languages, referred to as natural languages, like English. These include both text and speech input. It helps computers to understand and interpret the languages and…

Artificial Intelligence is changing the transportation field. It helps cars, trucks, trains, shins and airplanes to function automatically to make traffic smooth, safe, clean, smart and more efficient. Transportation Outline - Artificial Intelligence is changing the transportation field. It helps cars, trucks, trains, shins and airplanes to function automatically to make traffic smooth, safe, clean, smart and more efficient. Due to increase of population, the evolution of transportation increases and it increase the complexity…

In Artificial Intelligence searching method is the best technique to solve the problems whether it is defined or not defined. AI used problem search strategies to solve the specific problem. To build a system to solve a particular problem first we need to specify the initial system () what exactly the problem is and the acceptable final solutions to the problem. Isolate the problem and read about the problems then get multiple possible techniques…

An AI system can be defined as the study of the rational agent and its environment. The agents sense the environment through sensors and act on their environment through actuators. An AI agent can have mental properties such as knowledge, belief, intention, etc. What is an Agent? An agent can be anything that per active environment through sensors and act upon that environment through actuators. An Agent runs in the cycle of perceiving, thinking…