MARC details
| 000 -LEADER |
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| fixed length control field |
01904nam a22002417a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220719105949.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220719b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789389342451 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004.6782 |
| Item number |
GIF |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gift, Noah |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Pragmatic AI: an introduction to cloud-based machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc. |
Pearson India Education Services Pvt. Ltd. |
| Place of publication, distribution, etc. |
Noida |
| Date of publication, distribution, etc. |
2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 173 p. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
INR |
| Price amount |
450.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Table of Content<br/>1 Computers, People, and Programming 2 AI and ML Toolchain 3 Spartan AI Lifecycle 4 Cloud AI Development with Amazon Web Services 5 Cloud AI Development with Google Cloud Platform 6 Creating an Intelligent Slackbot on AWS 7 Finding Project Management Insights from a Github Organization 8 Dynamically Optimizing EC2 Instances on AWS 9 Production AI for User Generated Content (UGC) 10 Predicting Social-Media Influence in the NBA 11 Real Estate" |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Pragmatic AI is the first truly practical guide to solving real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Writing for students who aren't professional data scientists, Noah Gift demystifies all the tools and technologies you need to get results. He illuminates powerful off-the-shelf cloud-based solutions from Google, Amazon,<br/>and Microsoft, as well as accessible techniques using Python. Throughout, readers find simple, clear, and effective working solutions that show them how to apply machine learning, AI and cloud computing together in virtually any organization, creating solutions that deliver results, and offer virtually unlimited scalability." |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Cloud computing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |