Original PDF Ebook – Practical Machine Learning1st Edition – 9781784399689
Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques_x000D_About This Book_x000D_
Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark_x000D_
Comprehensive practical solutions taking you into the future of machine learning_x000D_
Go a step further and integrate your machine learning projects with Hadoop_x000D_
Who This Book Is For_x000D_
This book has been created for data scientists who want to see machine learning in action and explore its real-world application. With guidance on everything from the fundamentals of machine learning and predictive analytics to the latest innovations set to lead the big data revolution into the future, this is an unmissable resource for anyone dedicated to tackling current big data challenges. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately._x000D_
What You Will Learn_x000D_
Implement a wide range of algorithms and techniques for tackling complex data_x000D_
Get to grips with some of the most powerful languages in data science, including R, Python, and Julia_x000D_
Harness the capabilities of Spark and Hadoop to manage and process data successfully_x000D_
Apply the appropriate machine learning technique to address real-world problems_x000D_
Get acquainted with Deep learning and find out how neural networks are being used at the cutting-edge of machine learning_x000D_
Explore the future of machine learning and dive deeper into polyglot persistence, semantic data, and more
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