| 000 -LEADER |
|---|
| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220831b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781119545637 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
LEE |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lee, wei-meng |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Python machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
Indianapolis, |
| Date of publication, distribution, etc |
2019 |
| Place of publication, distribution, etc |
Wiley : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiv, 296 p. ; |
| Other physical details |
ill., |
| Dimensions |
23 cm |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
40.00 |
| Price type code |
USA |
| Unit of pricing |
82.80 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes index.
|
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart-it requires a good foundation in statistics, as well as programming knowledge. Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how Python is used to solve the problem at hand. * Python data science-manipulating data and data visualization * Data cleansing * Understanding Machine learning algorithms * Supervised learning algorithms * Unsupervised learning algorithms * Deploying machine learning models Python Machine Learning is essential reading for students, developers, or anyone with a keen interest in taking their coding skills to the next level. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
|
|---|
| Topical term or geographic name as entry element |
Extending python |
|
|---|
| Topical term or geographic name as entry element |
Supervised learning |
|
|---|
| Topical term or geographic name as entry element |
Deploying machine learning models |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Books |