MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02640nam a22002897a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230526220247.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
210824s2019 xx |||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781073019335 |
| Qualifying information |
paperback |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
EG-CaTKH |
| Language of cataloging |
eng |
| Original cataloging agency |
EG-CaTKH |
| Description conventions |
rda |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.73.P98 |
| Item number |
S65 2019 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
005.133 SM.P 2019 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Smith, Django, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Python machine learning : |
| Remainder of title |
the crash course for beginners to programming and deep learning, artificial intelligence, neural networks and data science, scikit learn, tensorflow, pandas and numpy / |
| Statement of responsibility, etc. |
Django Smith. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
[place of publication not identified] : |
| Name of producer, publisher, distributor, manufacturer |
[publisher not identified], |
| Date of production, publication, distribution, manufacture, or copyright notice |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
142 pages ; |
| Dimensions |
23 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
nc |
| Carrier type code |
volume |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"What if you could make your own program, one that is able to learn by trial and error, or based on the information that you show it? What if you could get a program that could adapt and change based on the input of the user? And what if you were able to make all of this happen with the Python coding language, helping even beginner's work with more complicated codes? This is all possible with Python machine learning. This guidebook is going to take some time to look at Python machine learning and all of the neat things that you are able to do with it. Machine learning is a growing field, one that a lot of programmers want to spend their time on. But even though this sounds like a complicated part of technology to work with, you will find that with the help of the Python coding language, anyone can start writing their own codes in machine learning. This guidebook is going to take a look at all of the different topics that you need to know in order to get started with Python machine learning. Some of the topics that we will explore inside include: the basics of machine learning; the difference between supervised and unsupervised machine learning; setting up your new environment in the Python language; data preprocessing with the help of machine learning; how to use Python coding to help with linear regression; decision trees and random forests; how to work with support vector regression problems; can machine learning really help with Naïve Bayes problems?; accelerated data analysis using the Python code; and so much more! " |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Computer programming. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Cataloger's name |
huda.mahmoud |
| Cataloging process |
M |
| First Date, FD (RLIN) |
20220125 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Cataloger's name |
mona.romia |
| Cataloging process |
R |
| First Date, FD (RLIN) |
20220202 |
