Low-code AI (Record no. 199939)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02383nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260428130057.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260428b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789355425560 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 STR-L |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Stripling, Gwendolyn |
| 245 ## - TITLE STATEMENT | |
| Title | Low-code AI |
| Remainder of title | : a practical project-driven introduction to machine learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Mumbai |
| Name of publisher | Shroff Publishers & Distributors Pvt. Ltd. |
| Year of publication | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xiv, 309 pages : illustrations, charts ; 24 cm |
| 500 ## - GENERAL NOTE | |
| General note | Content notes<br/>How data drives decision making in machine learning -- Data is the first step -- Machine learning libraries and frameworks -- Use AutoML to<br/>predict advertising media channel sales -- Using AutoML to detect fraudulent transactions -- Using BigQuery ML to train a linear regression<br/>model -- Training custom ML models in Python -- Improving custom model performance -- Next steps in your AI journey |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems. Business and data analysts get a project-based introduction to ML/AI using a detailed, data-driven approach: loading and analyzing data; feeding data into an ML model; building, training, and testing; and deploying the model into production. Authors Michael Abel and Gwendolyn Stripling show you how to build machine learning models for retail, healthcare, financial services, energy, and telecommunications. You'll learn how to: Distinguish between structured and unstructured data and the challenges they present Visualize and analyze data Preprocess data for input into a machine learning model Differentiate between the regression and classification supervised learning models Compare different ML model types and architectures, from no code to low code to custom training Design, implement, and tune ML models Export data to a GitHub repository for data management and governance |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abel, Michael |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books and Monographs |
| Full call number | Accession Number | Koha item type | Lost status | Damaged status | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price |
|---|---|---|---|---|---|---|---|---|---|---|
| 006.31 STR-L | 102746 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 | ||
| 006.31 STR-L | 102747 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 | ||
| 006.31 STR-L | 102748 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 | ||
| 006.31 STR-L | 102749 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 | ||
| 006.31 STR-L | 102750 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 | ||
| 006.31 STR-L | 102751 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 | ||
| 006.31 STR-L | 102752 | Books and Monographs | Central Library, NIT Jalandhar | Central Library, NIT Jalandhar | General Stacks | 27.04.2026 | Mumbai, TV Enterprises | 2300.00 |