Ayon Dey, "Machine Learning Algorithms: A Review", International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 7 (3), Pages. 1174-1179, 2016A. Dey and A. S. Learning, "Machine Learning
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. ...
machine learning algorithmsrefer to computational techniques that can find a way to connect a set of inputs to a desired set of outputs by learning relevant data. As defined by Tom Mitchell[28],
and using the values of the independent variables, the value of the dependent variable is estimated. Regression helps to predict a continuous value. Next we review classical algorithms to carry out regression.
, A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science, Supervised and Unsupervised Learning for Data Science, Springer, Cham (2020) Google Scholar Almasabi et al., May 2022 S. Almasabi, et al. False Data Injection Detection for Phasor Measurement Units ...
Learning algorithms Machine Learning Predictive medicine Statistical Learning Artificial Intelligence 1Introduction Neural network, which usually refers to artificial neural network, was firstly proposed in last century for a history of more than 70 years [114]. Neural network was inspired by biological ne...
drawing on a gamut of machine-learning algorithms like Support Vector Machines (SVM), Decision Trees (DT), K-Nearest Neighbors (KNN), and Neural Networks (NN). Despite the promise these techniques hold, their efficacy often wanes when singularly deployed against the multifaceted and sophisticated ...
Stephen has 25 years of technical support experience, and a Master's Degree in Technology Systems from East Carolina University. Cite this lesson Learn the definitions of machine learning algorithms and deep learning algorithms. Discover the different types of machine learning algorithms and review exam...
Review article Gene regulation Supervised machine learning Machine learning has been hailed as a boon for the new era of data-rich biology for some time now[18–20]. In supervised learning, a set of input attributes are used to predict the value of a target. Machine learning algorithms bas...
A.T.D. Perera, Tianzhen Hong Review article Machine learning for halide perovskite materials 2.2 Machine learning The machine learning techniques include the computer algorithms that automatically evolve and adapt to the environment via experience, in order to make decisions and extract knowledge by ...