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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.
Design, process, and analyze large sets of complex data in real time
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters
Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
100 recipes that teach you how to perform various machine learning tasks in the real world
Design efficient machine learning systems that give you more accurate results
Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
Master the art of machine learning with . NET and gain insight into real-world applications
If you want to learn how to use Java's machine learning libraries to gain insight from your data, this book is for you. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. You should be familiar with Java programming and data mining concepts to make the most of this book, but no prior experience with data mining packages is necessary.
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.