About This Book Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark Comprehensive practical solutions taking you into the future of machine learning Go a step further and integrate your machine learning projects with Hadoop Who This Book Is For This book has been created for data scientists who want to see Machine learning in action and explore its real-world applications. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately. What You Will Learn Implement a wide range of algorithms and techniques for tackling complex data Get to grips with some of the most powerful languages in data science, including R, Python, and Julia Harness the capabilities of Spark and Mahout used in conjunction with Hadoop to manage and process data successfully Apply the appropriate Machine learning technique to address a real-world problem Get acquainted with deep learning and find out how neural networks are being used at the cutting edge of Machine learning Explore the future of Machine learning and dive deeper into polyglot persistence, semantic data, and more

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