Build, train, and deploy intelligent applications using Java librariesKey FeaturesLeverage the power of Java libraries to build smart applicationsBuild and train deep learning models for implementing artificial intelligenceLearn various algorithms to automate complex tasksBook DescriptionArtificial intelligence (AI) is increasingly in demand as well as relevant in the modern world, where everything is driven by technology and data. AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity.Hands-On Artificial Intelligence with Java for Beginners begins by introducing you to AI concepts and algorithms. You will learn about various Java-based libraries and frameworks that can be used in implementing AI to build smart applications. In addition to this, the book teaches you how to implement easy to complex AI tasks, such as genetic programming, heuristic searches, reinforcement learning, neural networks, and segmentation, all with a practical approach.By the end of this book, you will not only have a solid grasp of AI concepts, but you'll also be able to build your own smart applications for multiple domains.What you will learnLeverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among othersBuild machine learning models using supervised and unsupervised machine learning techniquesImplement different deep learning algorithms in Deeplearning4j and build applications based on themStudy the basics of heuristic searching and genetic programmingDifferentiate between syntactic and semantic similarity among textsPerform sentiment analysis for effective decision making with LingPipeWho this book is forHands-On Artificial Intelligence with Java for Beginners is for Java developers who want to learn the fundamentals of artificial intelligence and extend their programming knowledge to build smarter applications. Table of ContentsIntroduction to Artificial Intelligence and JavaExploring SearchAI Games and Rule Based SystemInterfacing with WekaHandling AttributesSupervised LearningSemi-Supervised and Unsupervised Learning
Author: Nisheeth Joshi
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