| 000 -LEADER |
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| fixed length control field |
03131nam a22003617a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220904110347.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
m|||||r|||| 00| 0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
tu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220211b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Qualifying information |
9781774074275 (e-book) |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
English. |
| Transcribing agency |
CvSU-CCAT Campus Library. |
| Description conventions |
rda. |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
EBOP QA 76.73 |
| Item number |
R88 2020 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Russano, Euan, author. |
| 9 (RLIN) |
4537 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Fundamentals of machine learning using Python / |
| Statement of responsibility, etc. |
Euan Russano and Elaine Ferreira Avelino. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Canada : |
| Name of publisher, distributor, etc. |
Arcler Press, |
| Date of publication, distribution, etc. |
c2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 324 pages : |
| Other physical details |
color illustrations |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
computer |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
online resource |
| 500 ## - GENERAL NOTE |
|---|
| Materials specified |
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required). |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Chapter 1 : Introduction to Python.<br/>Chapter 2 : Computing things With Python<br/>Chapter 3 : A General Outlook on Machine Learning<br/>Chapter 4 : Elements of Machine Learning<br/>Chapter 5 : Linear Regression with One Variable<br/>Chapter 6 : A General Review on Linear Algebra<br/>Chapter 7 : Linear Regression with Multiple Inputs/Features<br/>Chapter 8 : Classification Using Logistic Regression Model<br/>Chapter 9 : Regularization<br/>Chapter 10 : Introduction to Neural Networks<br/>Chapter 11 : Introduction to Decision Trees and Random Forest<br/>Chapter 12 : Principal Component Analysis<br/>Chapter 13 : Classification Using K-Nearest Neighbor Algorithm<br/>Chapter 14 : Introduction to Kmeans Clustering<br/>Chapter 15 : Computing with TensorFlow : Introduction and Basics<br/>Chapter 16 : TensorFLow : Activation Functions and Optimization<br/>Chapter 17 : Introduction to Natural Language Processing<br/>Chapter 18 : Recognize Handwritten Digits Using Neural Networks |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Fundamentals of Machine Learning discusses the basics of python, use of python in computing and provides a general outlook on machine learning. This book provides an insight into concepts such as linear regression with one variable, linear algebra, and linear regression with multiple inputs. The classification with logistics regression model, regularization, neural networks, decision trees are explained in this book. The introduction to several concepts of machine learning such as component analysis, classification using k-Nearest Algorithm, k Means Clustering, computing with Tensor flow and natural language processing have been explained. This book explains the fundamental concepts of machine learning. |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Accession number |
EBOP00004 |
| Extent |
1 |
| 546 ## - LANGUAGE NOTE |
|---|
| Materials specified |
In English text. |
| 600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Euan Russano and Elaine Ferreira Avelino. author |
| 9 (RLIN) |
4538 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
Python (Computer program language). |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
Machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
Data mining. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Avelino, Elaine Ferreira, author. |
| 9 (RLIN) |
7052 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Electronic name |
Bibliotex. |
| Materials specified |
Electronic Resources |
| Public note |
<a href="https://www.bibliotex.com/pdfreader/fundamentals-machine-learning-using-python">https://www.bibliotex.com/pdfreader/fundamentals-machine-learning-using-python</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
E-Books |
| Classification part |
QA 76.73 R88 2020 |
| Call number prefix |
EBOP |
