P R.E S E N T S              .

Artificial Intelligence For Big Data

DATE: 2019-07-16  SIZE: 24.69 MB   DISKS: 3x 10MB     PAGES: n/a

PUBLISHER: n/a                               GENRE:

AUTHOR: Anand Deshpande, Manish Kumar

FORMAT: EPUB  PROTECTION: DRM  EDITION: n/a

URL: https://is.gd/LrNfZt

LANGUAGE: English   ISBN: 9781788472173

: Build next-generation Artificial Intelligence systems with Java Key        :
: Features Implement AI techniques to build smart applications using         :
: Deeplearning4j Perform big data analytics to derive quality insights using :
: Spark MLlib Create self-learning systems using neural networks, NLP, and   :
: reinforcement learning Book Description In this age of big data, companies :
: have larger amount of consumer data than ever before, far more than what   :
: the current technologies can ever hope to keep up with. However, Artificia :
: Intelligence closes the gap by moving past human limitations in order to   :
: analyze data. With the help of Artificial Intelligence for big data, you   :
: will learn to use Machine Learning algorithms such as k-means, SVM, RBF,   :
: and regression to perform advanced data analysis. You will understand the  :
: current status of Machine and Deep Learning techniques to work on Genetic  :
: and Neuro-Fuzzy algorithms. In addition, you will explore how to develop   :
: Artificial Intelligence algorithms to learn from data, why they are        :
: necessary, and how they can help solve real-world problems. By the end of  :
: this book, you'll have learned how to implement various Artificial         :
: Intelligence algorithms for your big data systems and integrate them into  :
: your product offerings such as reinforcement learning, natural language    :
: processing, image recognition, genetic algorithms, and fuzzy logic systems :
: What you will learn Manage Artificial Intelligence techniques for big data :
: with Java Build smart systems to analyze data for enhanced customer        :
: experience Learn to use Artificial Intelligence frameworks for big data    :
: Understand complex problems with algorithms and Neuro-Fuzzy systems Design :
: stratagems to leverage data using Machine Learning process Apply Deep      :
: Learning techniques to prepare data for modeling Construct models that     :
: learn from data using open source tools Analyze big data problems using    :
: scalable Machine Learning algorithms Who this book is for This book is for :
: you if you are a data scientist, big data professional, or novice who has  :
: basic knowledge of big data and wish to get proficiency in Artificial      :
: Intelligence techniques for big data. Some competence in mathematics is an :
: added advantage in the field of elementary linear algebra and calculus.    :

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