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"machine learning"
(으)로 2,162개의 도서가 검색 되었습니다.
Machine Learning (Architecture in the age of Artificial Intelligence)
| RIBA Publishing
71,670원 | 20250901 | 9781915722881
Revised edition of the influential text on architecture and machine learning.
가격비교
Machine Learning (Fundamentals and Applications)
| Academic Enclave
127,780원 | 20250801 | 9789348642738
The presents book a comprehensive and structured journey through the foundational principles and advanced methodologies that drive the modern field of artificial intelligence and machine learning. The book is meticulously organized to serve as both a textbook for graduate-level learners and a reference manual for researchers and professionals aiming to understand and apply AI techniques in a wide variety of domains.
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Machine Learning (The Arc of Dystopia)
| Lulu Press
27,000원 | 20250708 | 9781300045854
"Uncle Sam is dead. Meet Uncle Shady." In Machine Learning: The Arc of Dystopia, Armando Heredia crafts a searing symphony of protest poetry that traces America's moral decay into a chilling techno-authoritarian future. Structured as a conceptual album, this incendiary collection reimagines national icons-Liberty exiled, Hope seeking asylum, Uncle Sam reborn as a masked predator-to expose the machinery of oppression thriving in daylight.
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Machine Learning (Concepts, Techniques and Applications)
|
144,550원 | 20250627 | 9781032268293
This book starts with basic conceptual level of machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. A comprehensive account of various aspects of ethical machine learning has been discussed.
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Machine Learning (The Game Show)
| John Giordani
21,970원 | 20250428 | 9798231582693
"Machine Learning: The Game Show" isn't your typical tech manual; it's a playful exploration of artificial intelligence through the vibrant lens of competition, humor, and human ingenuity. Authored by Dr. John Giordani, the book portrays AI not merely as a technological marvel but as a contestant in the game show of life, competing alongside and against humans.
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Machine Learning (Theory and Practice)
|
85,020원 | 20241219 | 9780367433529
This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including CNNs, reinforcement learning, and unsupervised learning focused on clustering.
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Machine Learning (Lecture Note)
Taeho Jo | 알파인공지능출판사
100,000원 | 20240710 | 9791198776440
This book is concerned with machine learning algorithms as important AI (Artificial Intelligence) techniques. This book is authored by collecting slides in the lecture during one semester on machine learning; each page is given as a slide. It is intended for one who tries to study machine learning algorithms as approaches to implementation of AI systems and composed with eight lectures. The main kinds of machine learning are supervised learning and unsupervised learning. The significance of this book is to provide knowledge about machine learning algorithms used for implementing AI systems.
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Machine Learning (ECML 2001 : 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings)
| Springer Nature B.V.
71,980원 | 20230113 | 9783662205983
This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001.The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions.
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Arduino V (Machine Learning)
| Springer Nature B.V.
71,980원 | 20221228 | 9783031218781
?This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in? microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.This book, "Arduino V: AI and Machine Learning," is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background.
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Machine Learning (Theory to Applications)
| CRC Press
318,930원 | 20220929 | 9780367634537
The aim of this book is to teach core concepts of machine learning while focuses on modern applications. It is meant for anyone who wants to master machine learning by providing technical and practical insights.
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Machine Learning in R
| CRC Press
0원 | 20250523 | 9781498726436
This book provides a practical, hands-on introduction to the use of R in machine learning. Both supervised and unsupervised learning are comprehensively covered in the book, and the book explores key topics in machine learning, including support vector machines and neural networks. The book also describes various machine learning R packages and includes example code and use cases throughout.
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Machine Learning
| Springer Verlag, Singapore
116,980원 | 20220822 | 9789811519697
Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning.
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머신러닝Machine Learning 입문 흑백 (-R을 활용한 사회·경제 데이터 분석-)
김우영 | 퍼플
15,000원 | 20250921 | 9788924171488
대학에서 머신러닝을 처음 접하는 학생, 사회·경제 데이터를 다루는 연구자, 그리고 분석 기법을 실무에 적용해 보고자 하는 사람들에게 이 책은 유용한 길잡이가 될 것이다. 각 장은 머신러닝의 기본 개념과 이론을 간단히 소개한 뒤, 실제 데이터를 활용한 예제와 R 코드로 시현된 결과물을 제시하였다. 독자들은 설명을 따라가며 직접 코드를 실행하고 그 결과를 확인하면서 자연스럽게 학습을 이어갈 수 있을 것이다.
가격비교
머신러닝Machine Learning 입문 컬러 (-R을 활용한 사회·경제 데이터 분석-)
김우영 | 퍼플
38,100원 | 20250921 | 9788924171440
대학에서 머신러닝을 처음 접하는 학생, 사회·경제 데이터를 다루는 연구자, 그리고 분석 기법을 실무에 적용해 보고자 하는 사람들에게 이 책은 유용한 길잡이가 될 것이다. 각 장은 머신러닝의 기본 개념과 이론을 간단히 소개한 뒤, 실제 데이터를 활용한 예제와 R 코드로 시현된 결과물을 제시하였다. 독자들은 설명을 따라가며 직접 코드를 실행하고 그 결과를 확인하면서 자연스럽게 학습을 이어갈 수 있을 것이다.
가격비교
Machine Learning (Architecture in the age of Artificial Intelligence)
| RIBA Publishing
78,660원 | 20220501 | 9781914124013
The architecture profession is changing. Practices must stay abreast of new developments in AI or risk being leftbehind. Architecture's best-known technologist, Phil Bernstein, provides astrategy for long-term success.
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