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…