Machine Learning Algorithms

Key FeaturesGet started in the field of machine learning with the help of this solid, concept rich, yet highly practical guide.Your one-stop solution for everything that matters in machine learning algorithms, like the types, working, and implementation.Get solid foundation to your entry in machine learning by strengthening your roots i.e the algorithms with this comprehensive guide.Book DescriptionIn this book you will learn all the important machine learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning and semi-supervised learning. Few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random Forest, XGBooster and Feature engineering. In this book you will also learn the working and the practical implementation of these algorithms to resolve your problems. This book will also introduce you to Natural Processing Language and Recommendation systems, which help you to run multiple algorithms simultaneously.On completion of the book you will understand how to pick machine learning algorithm for clustering, classification, or regression best suited for your problem.What you will learnAcquaint yourself with important elements of Machine LearningUnderstand the feature selection and feature engineering processAssess performance and error trade-offs of Linear RegressionBuild a data model and understand how it works by using different types of algorithmsLearn to tune parameters of Support Vector machinesImplement clusters to a data setExplore the concept of Natural Processing Language and Recommendation SystemsCreate a ML architecture from scratch. About the AuthorGiuseppe Bonaccorso is a machine learning and big data consultant with more than 12 years of experience with M.Eng in Electronics Engineering from University of Catania, Italy and further post-graduate specialization from Univerity of Rome “Tor Vergata”, Italy and University of Essex, UK. During his career, he covered different IT roles in several business contexts which include: Public Administration, Military, Utilities, Healthcare, Diagnostics and Advertising and developed and manged projects using many technologies, including: Java, Python, Hadoop, Spark, Theano and Tensorflow. His main interests are focused on: Artificial Intelligence, Machine Learning, Data Science and Philosophy of Mind.

Author: Giuseppe Bonaccorso

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