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This Learning Path is a comprehensive guide that gives you the complete knowledge on how to implement the powerful supervised, unsupervised, and reinforcement learning techniques using R 3.5 in your data science projects. With this Learning Path, you'll gain insights from complex projects and learn advanced methods to build smart applications.
Machine learning is the field of Artificial Intelligence where we build systems that learn from data. Given the growing prominence of R-a cross-platform, zero-cost statistical programming environment-there has never been a better time to start applying machine learning to your data. This book will teach you advanced techniques in machine learnin...
This Learning Path equips you with the knowledge you need to implement R logic in data science. You'll discover best practices and essential R methods for building intelligent machine learning systems with the help of hands-on exercises and step-by-step explanations.
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