Big Data Optimization

Editors: Emrouznejad, Ali (Ed.)
Presents recent developments and challenges in big data optimization
Collects various recent algorithms in large-scale optimization all in one book
Presents useful big data optimization applications in a variety of industries, both for academics and practitioners
Include some guideline to use cloud computing and Hadoop in large-scale and big data optimization

Big Data code optimization in Python NumPy + sound processing in MoviePy + binarizing images in computer vision - Pillow

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Everything you need to know about Big Data, and Learn Hadoop, HDFS, MapReduce, Hive & Pig by designing Data Pipeline.