Artificial Intelligence for Big Data: Co
β Anand Deshpande, Manish Kumar
π Library
π
2018
π Packt
π English
β¦ LIBER β¦
π
Artificial Intelligence for Big Data
β Scribed by Anand Deshpande
- Publisher
- Packt
- Year
- 2018
- Tongue
- English
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Create smart systems to extract intelligent insights for decision making. You will learn about widely used Artificial Intelligence techniques for carrying out solutions in a production-ready environment. You'll explore advanced topics such as clustering, symbolic and sub-symbolic information representation, and many more.
π SIMILAR VOLUMES
Artificial Intelligence for Big Data: Co
β Anand Deshpande, Manish Kumar
π Library
π
2018
π Packt Publishing
π English
<p><b>Build next-generation artificial intelligence systems with Java</b></p><h4>Key Features</h4><ul><li>Implement AI techniques to build smart applications using Deeplearning4j</li><li>Perform big data analytics to derive quality insights using Spark MLlib</li><li>Create self-learning systems usin
Big Data and Artificial Intelligence for
β Ankur Saxena, Nicolas Brault, Shazia Rashid
π Library
π
2021
π CRC Press
π English
Big Data Analytics Using Artificial Inte
β Amir H. Gandomi; Fang Chen; Laith Abualigah
π Library
π
2023
π MDPI
π English
In this thought-provoking guide, readers will embark on a journey through the fascinating realm of big data analytics, discovering how vast volumes of data can be collected, processed, and analyzed with remarkable precision. Through the lens of artificial intelligence, the reprint delves into the re
Trends of Artificial Intelligence and Bi
β Houneida Sakly, Kristen Yeom, Safwan Halabi, Mourad Said, Jayne Seekins, Moncef
π Library
π
2023
π Springer
π English
<span>This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry
Artificial Intelligence for Fashion Indu
β SΓ©bastien Thomassey, Xianyi Zeng
π Library
π
2018
π Springer Singapore
π English
<p>This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on