\u003cp\u003e\u003cb\u003eBuild next-generation Artificial Intelligence systems with Java\u003c/b\u003e\u003c/p\u003e\u003ch2\u003eAbout This Book\u003c/h2\u003e\u003cul\u003e\u003cli\u003eImplement AI techniques to build smart applications using Deeplearning4j\u003c/li\u003e\u003cli\u003ePerform big data analytics to derive quality insights using Spark MLlib\u003c/li\u003e\u003cli\u003eCreate self-learning systems using neural networks, NLP, and reinforcement learning\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eWho This Book Is For\u003c/h2\u003e\u003cp\u003eThis 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.\u003c/p\u003e\u003ch2\u003eWhat You Will Learn\u003c/h2\u003e\u003cul\u003e\u003cli\u003eManage Artificial Intelligence techniques for big data with Java\u003c/li\u003e\u003cli\u003eBuild smart systems to analyze data for enhanced customer experience\u003c/li\u003e\u003cli\u003eLearn to use Artificial Intelligence frameworks for big data\u003c/li\u003e\u003cli\u003eUnderstand complex problems with algorithms and Neuro-Fuzzy systems\u003c/li\u003e\u003cli\u003eDesign stratagems to leverage data using Machine Learning process\u003c/li\u003e\u003cli\u003eApply Deep Learning techniques to prepare data for modeling\u003c/li\u003e\u003cli\u003eConstruct models that learn from data using open source tools\u003c/li\u003e\u003cli\u003eAnalyze big data problems using scalable Machine Learning algorithms\u003c/li\u003e\u003c/ul\u003e\u003ch2\u003eIn Detail\u003c/h2\u003e\u003cp\u003eIn 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, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data.\u003c/p\u003e\u003cp\u003eWith 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.\u003c/p\u003e\u003cp\u003eBy 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.\u003c/p\u003e\u003ch2\u003eStyle and approach\u003c/h2\u003e\u003cp\u003eAn easy-to-follow, step-by-step guide to help you get to grips with real-world applications of Artificial Intelligence for big data using Java\u003c/p\u003e
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