Fakta

Förlag	Springer Nature
Språk	Engelska
Bandtyp	Häftad
Utgiven	2020-08-14
Upplaga	1
Antal sidor	494
ISBN	9783030181161
Kategori(er)

Lägg i varukorgen

Beskrivning

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code.

A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use).

Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:

• classification using standard machinery (naive bayes; nearest neighbor; SVM)

• clustering and vector quantization (largely as in PSCS)

• PCA (largely as in PSCS)

• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)

• linear regression (largely as in PSCS)

• generalized linear models including logistic regression

• model selection with Lasso, elasticnet

• robustness and m-estimators

• Markov chains and HMM’s (largely as in PSCS)

• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy

• simple graphical models (in the variational inference section)

• classification with neural networks, with a particular emphasis on

image classification

• autoencoding with neural networks

• structure learning

Läs mer

Hittills har vi återanvänt

böcker.

Sveriges grönaste och skönaste bokhandel med den billigaste kurslitteraturen.

Detta är vår ambition och vi tummar inte på något för att nå dit. Vi finns till för att hjälpa studenter att spara och tjäna pengar på sin kurslitteratur samtidigt som vi tillsammans gör miljön en tjänst. Företaget startade våren 2005 av två studenter och har sedan dess strävat mot att ständigt göra det enklare att köpa och sälja begagnad kurslitteratur för så många som möjligt.

Öppettider