Books
|
Buy Now
Machine Learning Methods (1st ed. 2023)
Loot Price: R2,104
Discovery Miles 21 040
You Save: R307
(13%)
|
|
Machine Learning Methods (1st ed. 2023)
Expected to ship within 9 - 15 working days
|
This book provides a comprehensive and systematic introduction to
the principal machine learning methods, covering both supervised
and unsupervised learning methods. It discusses essential methods
of classification and regression in supervised learning, such as
decision trees, perceptrons, support vector machines, maximum
entropy models, logistic regression models and multiclass
classification, as well as methods applied in supervised learning,
like the hidden Markov model and conditional random fields. In the
context of unsupervised learning, it examines clustering and other
problems as well as methods such as singular value decomposition,
principal component analysis and latent semantic analysis. As a
fundamental book on machine learning, it addresses the needs of
researchers and students who apply machine learning as an important
tool in their research, especially those in fields such as
information retrieval, natural language processing and text data
mining. In order to understand the concepts and methods discussed,
readers are expected to have an elementary knowledge of advanced
mathematics, linear algebra and probability statistics. The
detailed explanations of basic principles, underlying concepts and
algorithms enable readers to grasp basic techniques, while the
rigorous mathematical derivations and specific examples included
offer valuable insights into machine learning.
General
Imprint: |
Springer Verlag, Singapore
|
Country of origin: |
Singapore |
Release date: |
October 2023 |
First published: |
2023 |
Authors: |
Hang Li
|
Translators: |
Lu Lin
• Huanqiang Zeng
|
Dimensions: |
235 x 155mm (L x W) |
Pages: |
614 |
Edition: |
1st ed. 2023 |
ISBN-13: |
978-981-9939-16-9 |
Subtitles: |
Chinese
|
Categories: |
Books
|
LSN: |
981-9939-16-X |
Barcode: |
9789819939169 |
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.