Artificial Intelligence for Big Data

Anand Deshpande, Manish Kumar

Artificial Intelligence for Big Data

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商品描述

Key Features

  • Implement Artificial Intelligence techniques to build smart applications using Deeplearning4j a Java deep learning library
  • Create smart self learning and decision making systems
  • Develop smarter Big data applications to get better insights from your analysis

Book Description

In the age of big data, companies have growing amount of consumer data than ever before - far more than human and their current technologies can ever hope to keep up with. Artificial Intelligence closes the gap by moving far past human limitations to consume and analyze data.

This book will help you create smart systems to extract intelligent insights for decision making. We will learn about widely used Artificial Intelligence techniques for carrying out solutions in a production ready environment. Explore advanced topics like neural network, clustering, symbolic and sub-symbolic information representation and many more.

Later we will use machine learning algorithms such as K-means, SVM, RBF, regression to perform advance data analysis. We will take you through an understanding of the current status of Machine and Deep Learning techniques to Genetic and Neuro-Fuzzy algorithms. This book aims to address how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help to solve real world problems.

By the end of this book, you'll learn how to implement various Artificial Intelligence algorithms for your big data systems and integrate into your product offerings such as search, image recognition and language processing, Genetic Algorithms, and Fuzzy Logic systems

What you will learn

  • Manage Artificial Intelligence techniques for Big Data with Java.
  • Build smart systems that can analyze vast and growing data to apply the results for enhanced customer experiences
  • Learn to use Artificial Intelligence Frameworks for Big Data.
  • Understand and manage complex problems with Genetic Algorithms and Neuro-Fuzzy Systems
  • Design an approach to leverage data using the steps in the machine learning process.
  • Apply deep learning techniques to explore and prepare data for modeling.
  • Construct models that learn from data using widely available open source tools
  • Analyze big data problems using scalable machine learning algorithms on Spark.

商品描述(中文翻譯)

主要特點


  • 使用Deeplearning4j，一個Java深度學習庫，實現人工智慧技術，建立智能應用程式

  • 創建智能的自學和決策系統

  • 開發更智能的大數據應用程式，從分析中獲得更好的洞察力

書籍描述

在大數據時代，公司擁有比以往更多的消費者數據 - 遠遠超過人類和他們目前的技術所能應對的範圍。人工智慧通過超越人類的限制來消化和分析數據，彌合了這一差距。

本書將幫助您創建智能系統，從中提取智能洞察以進行決策。我們將學習在生產環境中廣泛使用的人工智慧技術，探索神經網絡、聚類、符號和子符號信息表示等高級主題。

隨後，我們將使用機器學習算法，如K-means、SVM、RBF、回歸，進行高級數據分析。我們將帶您了解機器學習和深度學習技術到遺傳和神經模糊算法的當前狀態。本書旨在解決如何開發人工智慧算法從數據中學習、為什麼它們是必要的以及它們如何幫助解決現實世界的問題。

通過閱讀本書，您將學習如何為大數據系統實現各種人工智慧算法，並將其整合到您的產品中，例如搜索、圖像識別和語言處理、遺傳算法和模糊邏輯系統。

您將學到什麼


  • 使用Java管理大數據的人工智慧技術。

  • 構建能夠分析龐大且不斷增長的數據並應用結果以提升客戶體驗的智能系統

  • 學習使用大數據的人工智慧框架。

  • 理解並處理遺傳算法和神經模糊系統等複雜問題

  • 設計一種利用機器學習過程中的步驟來利用數據的方法。

  • 應用深度學習技術來探索和準備建模數據。

  • 使用廣泛可用的開源工具構建從數據中學習的模型

  • 使用Spark上的可擴展機器學習算法分析大數據問題。

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