Machine learning an algorithmic perspective
Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press
2015
|
| Series: | Chapman & Hall/CRC machine learning & pattern recognition series
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 102456 | ||
| 003 | MY-KLNDU | ||
| 005 | 20241220040339.0 | ||
| 008 | 221104 20152015flua bi 001 0 eng d | ||
| 020 | |a 9781466583283 (Pack - Book and Ebook) | ||
| 039 | 9 | |a 202211041158 |b VLOAD |c 201701121525 |d faezah |y 201610241517 |z hasri | |
| 040 | |a UPNM |b eng |c UPNM |e rda | ||
| 090 | |a Q 325.5 |b .M36 2015 | ||
| 100 | 1 | |a Marsland, Stephen |e author | |
| 245 | 1 | 0 | |a Machine learning |b an algorithmic perspective |c Stephen Marsland |
| 264 | 1 | |a Boca Raton, FL |b CRC Press |c 2015 | |
| 264 | 4 | |c © 2015 | |
| 300 | |a xx, 437 pages |b illustrations |c 25 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
| 500 | |a "A Chapman & Hall book" | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python | |
| 520 | |a Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation | ||
| 592 | |a 32573 |b 6/12/2016 |c RM 279.64 |h Bookline | ||
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Algorithms | |
| 830 | 0 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
| 999 | |a vtls000057121 |c 102456 |d 102456 | ||