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Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning /
Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, "How do I get started in Machine Learning?". One reason could be attributed to the vastness of the subject area because people often get overwhelmed by t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt,
October 2017.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Bonnin, Rodolfo, |e author. | |
| 245 | 1 | 0 | |a Machine learning for developers : |b uplift your regular applications with the power of statistics, analytics, and machine learning / |c Rodolfo Bonnin ; foreword by Claudio Delrieux. |
| 264 | 1 | |a Birmingham : |b Packt, |c October 2017. | |
| 300 | |a 1 online resource (vi, 250 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Machine learning for developers : uplift your regular applications with the power of statistics, analytics, and machine learning -- Credits -- Foreword -- About the Author -- About the Reviewers -- Customer Feedback -- www.PacktPub.com -- Table of Contents -- Preface -- 1. Introduction -- Machine Learning and Statistical Science -- 2. The Learning Process -- 3. Clustering -- 4. Linear and Logistic Regression -- 5. Neural Networks -- 6. Convolutional Neural Networks -- 7. Recurrent Neural Networks -- 8. Recent Models and Developments -- 9. Software Installation and Configuration -- Index. | |
| 520 | 3 | |a Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, "How do I get started in Machine Learning?". One reason could be attributed to the vastness of the subject area because people often get overwhelmed by the abstractness of ML and terms such as regression, supervised learning, probability density function, and so on. This book is a systematic guide teaching you how to implement various Machine Learning techniques and their day-to-day application and development. You will start with the very basics of data and mathematical models in easy-to-follow language that you are familiar with; you will feel at home while implementing the examples. The book will introduce you to various libraries and frameworks used in the world of Machine Learning, and then, without wasting any time, you will get to the point and implement Regression, Clustering, classification, Neural networks, and more with fun examples. As you get to grips with the techniques, you'll learn to implement those concepts to solve real-world scenarios for ML applications such as image analysis, Natural Language processing, and anomaly detections of time series data. By the end of the book, you will have learned various ML techniques to develop more efficient and intelligent applications | |
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a COMPUTERS |x Data Processing. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Databases |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Java. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 776 | 0 | 8 | |i Print version: |z 9781786466969 |
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