
Hands-On Artificial Intelligence with Java for Beginners
Description
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Key Features
Leverage the power of Java libraries to build smart applications
Build and train deep learning models for implementing artificial intelligence
Learn various algorithms to automate complex tasks
Book 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 learn
Leverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among others
Build machine learning models using supervised and unsupervised machine learning techniques
Implement different deep learning algorithms in Deeplearning4j and build applications based on them
Study the basics of heuristic searching and genetic programming
Differentiate between syntactic and semantic similarity among texts
Perform sentiment analysis for effective decision making with LingPipe
Who 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.
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Person
Nisheeth Joshi is an associate professor and a researcher at Banasthali University. He has also done a PhD in Natural Language Processing. He is an expert with the TDIL Program, Department of IT, Government of India, the premier organization overseeing language technology funding and research in India. He has several publications to his name in various journals and conferences, and also serves on the program committees and editorial boards of several conferences and journals.
Content
Introduction to Artificial Intelligence and Java
Exploring Search
AI Games and Rule Based System
Interfacing with Weka
Handling Attributes
Supervised Learning
Semi-Supervised and Unsupervised Learning
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