π ΠΠ΅ΡΠΏΠ»Π°ΡΠ½ΡΠΉ 348-ΡΡΡΠ°Π½ΠΈΡΠ½ΡΠΉ ΡΡΠ΅Π±Π½ΠΈΠΊ ΠΏΠΎ Machine Learning Π΄Π»Ρ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠΎΠ² ΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ
Machine Learning: A First Course for Engineers and Scientists - ΠΏΠΎΠ»Π½ΠΎΡΠ΅Π½Π½Π°Ρ ΠΊΠ½ΠΈΠ³Π° ΠΎΡ Cambridge University Press, ΠΊΠΎΡΠΎΡΡΡ Π°Π²ΡΠΎΡΡ Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ Π²ΡΠ»ΠΎΠΆΠΈΠ»ΠΈ Π² Π²ΠΈΠ΄Π΅ pre-publication PDF Π΄Π»Ρ Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ.
ΠΠ½ΡΡΡΠΈ:
* supervised learning, k-NN ΠΈ decision trees
* linear/logistic regression ΠΈ regularization
* neural networks ΠΈ deep learning
* random forests, boosting ΠΈ kernels
* Bayesian methods ΠΈ Gaussian Processes
* generative models ΠΈ unsupervised learning
* ΠΎΡΠ΅Π½ΠΊΠ° ΠΊΠ°ΡΠ΅ΡΡΠ²Π°, practical ML ΠΈ ethics
Π₯ΠΎΡΠΎΡΠΈΠΉ Π²Π°ΡΠΈΠ°Π½Ρ, Π΅ΡΠ»ΠΈ Ρ ΠΎΡΠ΅ΡΡΡ Π½Π΅ ΠΏΡΠΎΡΡΠΎ Π·Π°ΠΏΡΡΠΊΠ°ΡΡ
PDF:
https://smlbook.org/book/sml-book-draft-latest.pdf
#DataScience #MachineLearning #ML #Mathematics #Algorithms
Machine Learning: A First Course for Engineers and Scientists - ΠΏΠΎΠ»Π½ΠΎΡΠ΅Π½Π½Π°Ρ ΠΊΠ½ΠΈΠ³Π° ΠΎΡ Cambridge University Press, ΠΊΠΎΡΠΎΡΡΡ Π°Π²ΡΠΎΡΡ Π±Π΅ΡΠΏΠ»Π°ΡΠ½ΠΎ Π²ΡΠ»ΠΎΠΆΠΈΠ»ΠΈ Π² Π²ΠΈΠ΄Π΅ pre-publication PDF Π΄Π»Ρ Π»ΠΈΡΠ½ΠΎΠ³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ.
ΠΠ½ΡΡΡΠΈ:
* supervised learning, k-NN ΠΈ decision trees
* linear/logistic regression ΠΈ regularization
* neural networks ΠΈ deep learning
* random forests, boosting ΠΈ kernels
* Bayesian methods ΠΈ Gaussian Processes
* generative models ΠΈ unsupervised learning
* ΠΎΡΠ΅Π½ΠΊΠ° ΠΊΠ°ΡΠ΅ΡΡΠ²Π°, practical ML ΠΈ ethics
Π₯ΠΎΡΠΎΡΠΈΠΉ Π²Π°ΡΠΈΠ°Π½Ρ, Π΅ΡΠ»ΠΈ Ρ ΠΎΡΠ΅ΡΡΡ Π½Π΅ ΠΏΡΠΎΡΡΠΎ Π·Π°ΠΏΡΡΠΊΠ°ΡΡ
fit(), Π° ΡΠ΅Π°Π»ΡΠ½ΠΎ ΠΏΠΎΠ½ΡΡΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΡ ΠΈ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠ½ΡΡ Π»ΠΎΠ³ΠΈΠΊΡ ML.PDF:
https://smlbook.org/book/sml-book-draft-latest.pdf
#DataScience #MachineLearning #ML #Mathematics #Algorithms