Machine Learning

Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the development of algorithms that take as input empirical data, such as that from sensors or databases. The algorithm is designed to (a) identify (i.e., quantify) complex relationships thought to be features of the underlying mechanism that generated the data, and (b) employ these identified patterns to make predictions based on new data. Data can be seen as instances of the possible relations between observed variables; the algorithm acts as a machine learner which studies a portion of the observed data (called examples of the data or training data) to capture characteristics of interest of the data's unknown underlying probability distribution, and employs the knowledge it has learned to make intelligent decisions based on new input data.

One fundamental difficulty is that the set of all possible behaviors given all possible inputs is (in most cases of practical interest) too large to be included in the set of observed examples. Hence the learner must generalize from the given examples in order to produce a useful output from new data inputs.

Optical character recognition, in which printed characters are recognized automatically based on previous examples, is a classic engineering example of machine learning.

Read more about Machine Learning:  Definition, Generalization, Machine Learning, Knowledge Discovery in Databases (KDD) and Data Mining, Human Interaction, Algorithm Types, Theory, Applications, Software, Journals and Conferences

Other articles related to "machine learning, learning, machine":

Machine Learning - Journals and Conferences
... Machine Learning (journal) Journal of Machine Learning Research Neural Computation (journal) Journal of Intelligent Systems(journal) International Conference on Machine Learning (ICML) (conference ...
Learnable Evolution Model - Selected References
... Franzese (January 2010), "Machine Learning for the Source Detection of Atmospheric Emissions", Proceedings of the 8th Conference on Artificial Intelligence Applications to Environmental Science, Code J1.7 (Atlanta, GA ... "LEARNABLE EVOLUTION MODEL Evolutionary Processes Guided by Machine Learning", Machine Learning 38 9–40, doi10.1023/A1007677805582 Michalski, R.S ... June 11–13, 1998), "Learnable Evolution Combining Symbolic and Evolutionary Learning", Proceedings of the Fourth International Workshop on Multistrategy Learning (MSL'98) (De ...
Lateral Computing - A Review of Lateral-computing Techniques - Machine Learning
... Similarly, machine learning algorithms provide capability to generalize from training data ... There are two classes of Machine Learning (ML) Supervised ML Unsupervised ML One of the well known machine learning technique is Back Propagation Algorithm ...
Semi-supervised Learning
... Semi-supervised learning is a class of machine learning techniques that make use of both labeled and unlabeled data for training - typically a small amount of labeled data with a large ... Semi-supervised learning falls between unsupervised learning (without any labeled training data) and supervised learning (with completely labeled training data) ... Many machine-learning researchers have found that unlabeled data, when used in conjunction with a small amount of labeled data, can produce ...
Mehryar Mohri
... Sciences at New York University known for his work in machine learning, automata theory and algorithms, speech recognition and natural language processing ... Mohri's main areas of research are machine learning, theory, computational biology, and text and speech processing ... Mohri is Editorial Board member of Machine Learning and member of the advisory board for the Journal of Automata, Languages and Combinatorics ...

Famous quotes containing the words learning and/or machine:

    Lionel Johnson comes the first to mind,
    That loved his learning better than mankind,
    Though courteous to the worst; much falling he
    Brooded upon sanctity....
    William Butler Yeats (1865–1939)

    The machine unmakes the man. Now that the machine is perfect, the engineer is nobody. Every new step in improving the engine restricts one more act of the engineer,—unteaches him.
    Ralph Waldo Emerson (1803–1882)