Practical Machine Learning

Practical Machine Learning By Sunila Gollapudi

Finding something meaningful in increasingly larger and more complex datasets is a growing demand of the modern world. Machine learning and predictive analytics have become the most important approaches to uncover data gold mines. Machine learning uses complex algorithms to make improved predictions of outcomes based on historical patterns and the behavior of datasets. Machine learning can deliver dynamic insights into trends, patterns, and relationships within data, which is immensely valuable to the growth and development of business.

With this book, you will not only learn the fundamentals of Machine learning, but you will also dive deep into the complexities of the real-world data before moving onto using Hadoop and its wider ecosystem of tools to process and manage your structured and unstructured data.

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 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.

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