Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java / Ashish Singh Bhatia, Bostjan Kaluza
نوع المادة :
نصاللغة: الإنجليزية الناشر:Birmingham, UK : Packt Publishing, 2018وصف:vii, 285 pages : illustrations ; 25 cmنوع المحتوى:- text
- unmediated
- volume
- 9781788474399
- QA76.73.J38 B438 2018
| نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
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كتاب
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.73.J38 B438 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30030000005297 | ||
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كتاب
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UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | QA76.73.J38 B438 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30030000005298 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
| QA76.73 J38 A7612 2001 QA76.73 J38 A7612 2001 لغة البرمجة جافا - الاصدار الثالث THE JAVA PROGRAMMING LANGUAGE | QA76.73.J38 B358 2006 Groovy programming : an introduction for Java developers / | QA76.73.J38 B438 2018 Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java / | QA76.73.J38 B438 2018 Machine learning in Java : helpful techniques to design, build, and deploy powerful machine learning applications in Java / | QA76.73.J38 B58 1997 Java gently | QA76.73.J38 C69 1998 Java networking and communications | QA76.73.J38 C86 1998 Java : an object first approach |
Chapter 1: Applied Machine Learning Quick Start.--Chapter 2: Java Libraries and Platforms for Machine LearningThe need for Java.--Chapter 3: Basic Algorithms -Classification, Regression, and Clustering.--Chapter 4: Customer Relationship Prediction with EnsemblesThe customer relationship database.--Chapter 5: Affinity Analysis.--Chapter 6: Recommendation Engines with Apache Mahout.--Chapter 7: Fraud and Anomaly Detection.--Chapter 8: Image Recognition with Deeplearning4j.--Chapter 9: Activity Recognition with Mobile Phone Sensors.--Chapter 10: Text Mining with Mallet - Topic Modelling and Spam.--Chapter 11: What Is Next?
Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering.
