Essential data analytics, data science, and AI : a practical guide for a data-driven world / Maxine Attobrah.
| Author/creator | Attobrah, Maxine author. |
| Format | Book |
| Publication | [New York, New York] : Apress, [2024] |
| Copyright Date | ©2024 |
| Description | xx, 211 pages : illustrations ; 24 cm |
| Subjects |
| Portion of title | Essential data analytics, data science, and artificial intelligence |
| Physical medium | monochrome |
| Physical medium | illustration |
| Contents | Chapter 1: Introduction -- Chapter 2: Obtaining Data -- Chapter 3: ETL Pipeline -- Chapter 4: Exploratory Data Analysis -- Chapter 5: Machine Learning Models -- Chapter 6: Evaluating Models -- Chapter 7: When To Use Machine Learning Models -- Chapter 8: Where Machine Learning Models Live -- Chapter 9: Telemetry -- Chapter 10: Adversaries and Abuse -- Chapter 11: Working With Models. |
| Abstract | "In today's world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging" --Amazon. |
| Bibliography note | Includes bibliographical references and index. |
| ISBN | 9798868810695 (paperback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Joyner | General Stacks | Q336 .A886 2024 | ✔ Available | Place Hold |