By Π₯ΡΡΡΠ΅Ρ Π€ΡΠ°Π½ΠΊ , β¦
ΠΠ°Π½Π½Π°Ρ ΠΊΠ½ΠΈΠ³Π° ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅Ρ ΡΠΎΠ±ΠΎΠΉ Π²Π²Π΅Π΄Π΅Π½ΠΈΠ΅ Π² ΠΎΠ±Π»Π°ΡΡΡ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ, ΠΈΠ·Π²Π΅ΡΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΠΊ AutoML. AutoML ΡΠΎΠΊΡΡΠΈΡΡΠ΅ΡΡΡ Π½Π° Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ, Π΄Π΅Π»Π°Ρ Π΅Π³ΠΎ Π±ΠΎΠ»Π΅Π΅ Π΄ΠΎΡΡΡΠΏΠ½ΡΠΌ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ. Π Π°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ, Π»Π΅ΠΆΠ°ΡΠΈΠ΅ Π² ΠΎΡΠ½ΠΎΠ²Π΅ AutoML. ΠΠ·ΡΡΠ°ΡΡΡΡ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Ρ ΠΊ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΠΈ Π²ΡΠ±ΠΎΡΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π½Π°ΡΡΡΠΎΠΉΠΊΠΈ Π³ΠΈΠΏΠ΅ΡΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈ ΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠΈΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ². ΠΠ½ΠΈΠ³Π° ΠΎΡ Π²Π°ΡΡΠ²Π°Π΅Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π°ΡΠΏΠ΅ΠΊΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ AutoML Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΡΠ΅Π°Π»ΡΠ½ΡΡ Π·Π°Π΄Π°Ρ.
This book serves as an introduction to the field of Automated Machine Learning, commonly known as AutoML. AutoML focuses on automating the process of building machine learning models, making it more accessible and efficient. It covers the fundamental concepts and techniques that underpin AutoML. The exploration includes approaches to automating model selection, hyperparameter tuning, and feature engineering. The book addresses the practical aspects of applying AutoML to solve real-world problems.