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Descripción de contraportada
This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations.
The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems.
Subjects covered in detail include:
- Mathematical foundations of machine learning with various examples.
- An empirical study of supervised learning algorithms like Nave Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview.
- Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth.
- Hands-on machine leaning open source tools viz. Apache Mahout, H2O.
- Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning.
- Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.
Audience
Researchers and engineers in artificial intelligence, information technologies, computer science as well as software developers and product/process managers.
Detalles
- Título Machine Learning Big Data
- Autor Dulhare
- Encuadernación Tapa dura
- Páginas 544
- Volúmenes 1
- Idioma ENG
- Editorial John Wiley & Sons
- Fecha de publicación 2020-09-01
- ISBN 9781119654742 / 1119654742
- Peso 1.93 libras (0.88 kg)
- Dimensiones 9 x 6 x 1.13 pulgadas (22.86 x 15.24 x 2.87 cm)
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![Machine Learning and Big Data](https://d3525k1ryd2155.cloudfront.net/h/669/614/1512614669.0.m.jpg)
Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications
de Uma N. Dulhare (editor), Khaleel Ahmad (editor), Khairol Amli bin Ahmad (editor)
- Nuevo
- Tapa dura
- First
- Estado
- Nuevo
- Edición
- 1st
- Encuadernación
- Hardcover
- ISBN 10 / ISBN 13
- 9781119654742 / 1119654742
- Cantidad disponible
- 1
- Librería
-
Lahore, Pakistan
- Precio
-
EUR 142.14EUR 9.48 enviando a USA
Mostrar detalles
![Machine Learning and Big Data – Concepts, Algorithms, Tools and Applications](https://d3525k1ryd2155.cloudfront.net/f/742/654/9781119654742.IN.0.m.jpg)
Machine Learning and Big Data – Concepts, Algorithms, Tools and Applications
de Dulhare, Uma N./ Ahmad, Khaleel/ Ahmad, Khairol Amali Bin
- Nuevo
- Tapa dura
- Estado
- Nuevo
- Encuadernación
- Hardcover
- ISBN 10 / ISBN 13
- 9781119654742 / 1119654742
- Cantidad disponible
- 2
- Librería
-
Exeter, Devon, United Kingdom
- Precio
-
EUR 232.40EUR 12.03 enviando a USA