Nouveauté
| Titre : | Machine Learning for Modern Data Science |
| Auteurs : | Cook Eliza, Auteur |
| Type de document : | texte imprimé |
| Editeur : | 3G E-Learning, 2025 |
| ISBN/ISSN/EAN : | 978-1-984695-21-5 |
| Format : | 309 p. / ill. / 26 cm |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 004 (informatique en général) |
| Catégories : | |
| Mots-clés: | Machine Learning ; Data Science ; Supervised Learning ; Unsupervised Learning ; Reinforcement Learning ; Predictive Modeling ; Classification ; Regression Analysis ; Clustering Techniques ; Data Analytics ; Model Evaluation ; Big Data Applications |
| Résumé : | Machine Learning for Modern Data Science provides a thorough and accessible overview of the core concepts, methods, and practical applications of machine learning within the broader field of data science. The book explains foundational machine learning paradigms — such as supervised learning, where models are trained on labeled data to make predictions, unsupervised learning for discovering patterns in unlabeled data, and reinforcement learning for decision-making tasks — and illustrates how these techniques are used to analyze and interpret large, complex datasets. It delves into the implementation of key machine learning algorithms, offering insights into how predictive models are constructed, evaluated, and optimized for real-world uses such as classification, regression, clustering, and decision-making. Throughout, the author emphasizes the importance of combining machine learning tools with data science workflows to draw actionable insights and support informed decision-making across various industries. By balancing theoretical knowledge with practical considerations, the book equips readers with the skills needed to effectively apply machine learning methods in contemporary data science projects. |
Exemplaires (2)
| Code-barres | Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|---|
| 25/247 | 004/2314/1 | Livre | BU Centrale Batna 1 | Deuxième étage : Architecture, sciences et technologies | Disponible |
| 25/248 | 004/2314/2 | Livre | BU Centrale Batna 1 | Deuxième étage : Architecture, sciences et technologies | Disponible |
