Classification Handbook for Beginners
Artificial intelligence and machine learning have become indispensable pillars of today's rapidly evolving technological landscape. At the heart of these advancements lie classification algorithms, key tools in the data science domain. From diagnosing diseases to analyzing customer behavior, and fro...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Online |
| Taal: | Engels |
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Sakarya Üniversitesi Yayınları
2024
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| Online toegang: | https://directory.doabooks.org/handle/20.500.12854/148410 |
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| _version_ | 1869527445178155008 |
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| author | Arslan, Burak Aydemir, Emrah Cebeci, Halil İbrahim Arı, Oğuzhan Mizanalı, Sinem |
| author_browse | Arslan, Burak Arı, Oğuzhan Aydemir, Emrah Cebeci, Halil İbrahim Mizanalı, Sinem |
| author_facet | Arslan, Burak Aydemir, Emrah Cebeci, Halil İbrahim Arı, Oğuzhan Mizanalı, Sinem |
| author_sort | Arslan, Burak |
| collection | Directory of Open Access Books |
| description | Artificial intelligence and machine learning have become indispensable pillars of today's rapidly evolving technological landscape. At the heart of these advancements lie classification algorithms, key tools in the data science domain. From diagnosing diseases to analyzing customer behavior, and from detecting spam emails to recognizing images, these algorithms drive innovation across a broad spectrum of fields.
This book aims to bridge the gap between theory and practice, offering a comprehensive guide to machine learning and classification algorithms. With a balanced approach, it delves into the mathematical foundations of each algorithm while demonstrating their real-world applications using Python. Readers will not only grasp the theoretical underpinnings but also learn how to apply these concepts practically, fostering a deeper understanding and the ability to solve complex problems.
Whether you are a newcomer to data science, an experienced programmer, an academic, or an industry professional, this book is tailored to cater to your needs. Packed with step-by-step explanations and practical Python code examples, it equips readers with the tools to confidently implement machine learning algorithms in their own projects. This collaborative work of five expert authors combines academic rigor with industrial expertise, making it an invaluable resource for anyone embarking on their machine learning journey. |
| format | Online |
| id | doab-20.500.12854ir-148410 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Sakarya Üniversitesi Yayınları |
| publisherStr | Sakarya Üniversitesi Yayınları |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1484102024-12-10T13:05:48Z Classification Handbook for Beginners Arslan, Burak Aydemir, Emrah Cebeci, Halil İbrahim Arı, Oğuzhan Mizanalı, Sinem Artificial Intelligence Classification Machine Learning Methods UYQ Artificial intelligence and machine learning have become indispensable pillars of today's rapidly evolving technological landscape. At the heart of these advancements lie classification algorithms, key tools in the data science domain. From diagnosing diseases to analyzing customer behavior, and from detecting spam emails to recognizing images, these algorithms drive innovation across a broad spectrum of fields. This book aims to bridge the gap between theory and practice, offering a comprehensive guide to machine learning and classification algorithms. With a balanced approach, it delves into the mathematical foundations of each algorithm while demonstrating their real-world applications using Python. Readers will not only grasp the theoretical underpinnings but also learn how to apply these concepts practically, fostering a deeper understanding and the ability to solve complex problems. Whether you are a newcomer to data science, an experienced programmer, an academic, or an industry professional, this book is tailored to cater to your needs. Packed with step-by-step explanations and practical Python code examples, it equips readers with the tools to confidently implement machine learning algorithms in their own projects. This collaborative work of five expert authors combines academic rigor with industrial expertise, making it an invaluable resource for anyone embarking on their machine learning journey. Published 2024-12-10T13:05:43Z 2024-12-10T13:05:43Z 2024-12-06 book https://directory.doabooks.org/handle/20.500.12854/148410 eng application/pdf image/png Attribution-NonCommercial 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://sauyayinlari.sakarya.edu.tr/uploaded/custom/kitap/a17d64c1-ffa2-405f-8723-a42369e57633.pdf https://sauyayinlari.sakarya.edu.tr/uploaded/custom/kitap/9823c0ef-6dc2-440b-9aa5-eb7457f327c8.png Sakarya Üniversitesi Yayınları 10.59537/saupress.2347 10.59537/saupress.2347 26fcc708-baa1-4c5b-84bb-7bf78bfd4c06 212 Sakarya open access |
| spellingShingle | Artificial Intelligence Classification Machine Learning Methods UYQ Arslan, Burak Aydemir, Emrah Cebeci, Halil İbrahim Arı, Oğuzhan Mizanalı, Sinem Classification Handbook for Beginners |
| title | Classification Handbook for Beginners |
| title_full | Classification Handbook for Beginners |
| title_fullStr | Classification Handbook for Beginners |
| title_full_unstemmed | Classification Handbook for Beginners |
| title_short | Classification Handbook for Beginners |
| title_sort | classification handbook for beginners |
| topic | Artificial Intelligence Classification Machine Learning Methods UYQ |
| topic_facet | Artificial Intelligence Classification Machine Learning Methods UYQ |
| url | https://directory.doabooks.org/handle/20.500.12854/148410 |
| work_keys_str_mv | AT arslanburak classificationhandbookforbeginners AT aydemiremrah classificationhandbookforbeginners AT cebecihalilibrahim classificationhandbookforbeginners AT arıoguzhan classificationhandbookforbeginners AT mizanalısinem classificationhandbookforbeginners |