Reseña del libro "Artificial Intelligence for big Data (en Inglés)"
Build next-generation artificial intelligence systems with JavaKey FeaturesImplement AI techniques to build smart applications using Deeplearning4jPerform big data analytics to derive quality insights using Spark MLlibCreate self-learning systems using neural networks, NLP, and reinforcement learningBook DescriptionIn 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.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 (NLP), image recognition, genetic algorithms, and fuzzy logic systems.What you will learnManage artificial intelligence techniques for big data with JavaBuild smart systems to analyze data for enhanced customer experienceLearn to use artificial intelligence frameworks for big dataUnderstand complex problems with algorithms and neuro-fuzzy systemsDesign stratagems to leverage data using machine learning processApply deep learning techniques to prepare data for modelingConstruct models that learn from data using open source toolsAnalyze big data problems using scalable machine learning algorithmsWho This Book Is ForArtificial Intelligence for Big Data is for data scientists, big data professionals, or novices who have 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.Table of ContentsBig Data and Artificial Intelligence systemsOntology for Big DataLearning from Big DataNeural Network for Big DataDeep Big Data AnalyticsNatural Language ProcessingFuzzy SystemsGenetic ProgrammingSwarm IntelligenceReinforcement LearningCyber SecurityCognitive Computing
