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Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. The Understanding Machine Learning book offers a structured introduction to machine learning. The book dives into the fundamental theories and algorithmic paradigms of machine learning, and mathematical derivations. Machine learning presents a wide array of machine learning topics in an easy-to-understand way. The Understanding Machine Learning book is fitting for anyone ranging from computer science students to non-expert readers in computer science, engineering, mathematics, and statistics. The machine learning book can also act as a walkthrough for developers for writing their own programs meant for acquiring data with the aim of analysis. The Machine Learning in Action book goes in-depth in discussing the algorithms forming the basis of various machine learning techniques.
| Autorius: | A. Gnana Soundari, R. Dhanalakshmi, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2022 |
| Knygos puslapių skaičius: | 144 |
| ISBN-10: | 6204751662 |
| ISBN-13: | 9786204751665 |
| Formatas: | 220 x 150 x 9 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „MACHINE LEARNING: PRINCIPLES AND ITS APPLICATIONS“
