Andere Kunden interessierten sich auch für
![INTERPRETABLE MACHINE LEARNING]( "INTERPRETABLE MACHINE LEARNING")
INTERPRETABLE MACHINE LEARNING48,99 €![Big data Analysis by using Machine Learning]( "Big data Analysis by using Machine Learning")
Big data Analysis by using Machine Learning40,99 €![Hand Gesture Recognition using Machine learning in Python]( "Hand Gesture Recognition using Machine learning in Python")
Hand Gesture Recognition using Machine learning in Python29,99 €![Fundamentals of Machine Learning Algorithms]( "Fundamentals of Machine Learning Algorithms")
Fundamentals of Machine Learning Algorithms29,99 €![Enhanced Intrusion Detection System Using Machine Learning Techniques]( "Enhanced Intrusion Detection System Using Machine Learning Techniques")
Enhanced Intrusion Detection System Using Machine Learning Techniques42,99 €![Exploring Deep Learning Architectures for Graph Applications]( "Exploring Deep Learning Architectures for Graph Applications")
Exploring Deep Learning Architectures for Graph Applications40,99 €![Big Data Cyber Security Using Machine Learning]( "Big Data Cyber Security Using Machine Learning")
Big Data Cyber Security Using Machine Learning29,99 €
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to "self-learn" from training data and improve over time, without being explicitly programmed. Machine learning algorithms are able to detect patterns in data and learn from them, in order to make their own predictions. This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed.Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.The contents of this book is designed for beginners with some background knowledge ofdata science, including classical statistics and computing programming.