Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

Author:   Giuseppe Bonaccorso
Publisher:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781789347999


Pages:   522
Publication Date:   30 August 2018
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $103.47 Quantity:  
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Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition


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Author:   Giuseppe Bonaccorso
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Edition:   2nd Revised edition
ISBN:  

9781789347999


ISBN 10:   1789347998
Pages:   522
Publication Date:   30 August 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents A Gentle Introduction to Machine Learning Important Elements in Machine Learning Feature Selection and Feature Engineering Regression Algorithms Linear Classification Algorithms Naive Bayes and Discriminant Analysis Support Vector Machines Decision Trees and Ensemble Learning Clustering Fundamentals Advanced Clustering Hierarchical Clustering Introducing Recommendation Systems Introducing Natural Language Processing Topic Modeling and Sentiment Analysis in NLP Introducing Neural Networks Advanced Deep Learning Models Creating a Machine Learning Architecture

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Author Information

Giuseppe Bonaccorso is an experienced team leader/manager in AI, machine/deep learning solution design, management, and delivery. He got his MScEng in electronics in 2005 from the University of Catania, Italy, and continued his studies at the University of Rome Tor Vergata and the University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, bio-inspired adaptive systems, cryptocurrencies, and NLP.

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