Pembelajaran mesin

Pembelajaran mesin ialah suatu bidang sains komputer yang menggunakan kaedah-kaedah statistik membolehkan sistem komputer "mempelajari" (yakni, mengingkatkan prestasi mengerjakan sesuatu tugasan tertentu) dengan data tanpa diprogramkan secara terang-terangan.^[1] Aplikasi ini datangnya daripada kajian pengecaman pola dan teori pembelajaran pengkomputan dalam kecerdasan buatan.^[2]

Pembelajaran ini meneroka pengkajian dan pembinaan algoritma yang boleh dipelajari serta peramalan data^[3] – algoritma sebegini melepasi arahan program yang tegar dengan membuat ramalan atau keputusan berdasarkan data^[4]^:2 melalui pembinaan model daripada input contoh. Ia dipakaikan dalam pelbagai tugasan pengkomputan di mana perekaan dan pembinaan algoritma yang jelas sukar mahupun tidak boleh dibuat; misalnya penapisan e-mel, pengesanan unsur penceroboh yang membocorkan data,^[5] pengecaman ciri optik (OCR),^[6] dan sebagainya.

Lihat juga

Rujukan

↑ Barangkali diparikatakan daripada: Samuel, Arthur (1959). "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development. 3 (3). doi:10.1147/rd.33.0210..
Confer Koza, John R.; Bennett, Forrest H.; Andre, David; Keane, Martin A. (1996). "Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming" (dalam bahasa Inggeris). Artificial Intelligence in Design ’96. Springer, Dordrecht. m/s. 151–170. doi:10.1007/978-94-009-0279-4_9. https://link.springer.com/chapter/10.1007/978-94-009-0279-4_9. "Paraphrasing Arthur Samuel (1959), the question is: How can computers learn to solve problems without being explicitly programmed?"
↑ http://www.britannica.com/EBchecked/topic/1116194/machine-learning Templat:Tertiary
↑ Ron Kohavi; Foster Provost (1998). "Glossary of terms". Machine Learning. 30: 271–274.
↑ Machine learning and pattern recognition "can be viewed as two facets of the same field."
↑ Dickson, Ben. "Exploiting machine learning in cybersecurity". TechCrunch. Dicapai pada 23 Mei 2017.
↑ Wernick; Yang; Brankov; Yourganov; Strother (Julai 2010). "Machine Learning in Medical Imaging". IEEE Signal Processing Magazine. Jil. 27 no. 4. m/s. 25–38.

Pautan luar

Aman Firdaus (16 November 2015). "Apakah Itu Pembelajaran Mesin?". Amanz. Dicapai pada 9 April 2018.
International Machine Learning Society
Coursera - kursus pembelajaran mesin dalam talian percuma.
Machine Learning Crash Course oleh Google.

[1] Barangkali diparikatakan daripada: Samuel, Arthur (1959). "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development. 3 (3). doi:10.1147/rd.33.0210..
Confer Koza, John R.; Bennett, Forrest H.; Andre, David; Keane, Martin A. (1996). "Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming" (dalam bahasa Inggeris). Artificial Intelligence in Design ’96. Springer, Dordrecht. m/s. 151–170. doi:10.1007/978-94-009-0279-4_9. https://link.springer.com/chapter/10.1007/978-94-009-0279-4_9. "Paraphrasing Arthur Samuel (1959), the question is: How can computers learn to solve problems without being explicitly programmed?"

[Britannica-2] ttp://www.britannica.com/EBchecked/topic/1116194/machine-learning Templat:Tertiary

[3] Ron Kohavi; Foster Provost (1998). "Glossary of terms". Machine Learning. 30: 271–274.

[bishop-4] Machine learning and pattern recognition "can be viewed as two facets of the same field."

[5] Dickson, Ben. "Exploiting machine learning in cybersecurity". TechCrunch. Dicapai pada 23 Mei 2017.

[Wernick-Signal-Proc-July-2010-6] Wernick; Yang; Brankov; Yourganov; Strother (Julai 2010). "Machine Learning in Medical Imaging". IEEE Signal Processing Magazine. Jil. 27 no. 4. m/s. 25–38.

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