Applied machine learning with Python (Book, 2020) [WorldCat.org]
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Applied machine learning with Python
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Applied machine learning with Python

Author: Andrea Giussani
Publisher: Milano : Bocconi University Press, 2020.
Edition/Format:   Print book : EnglishView all editions and formats
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Details

Document Type: Book
All Authors / Contributors: Andrea Giussani
ISBN: 9788831322041 8831322044
OCLC Number: 1176278049
Description: xvii, 182 pages : illustrations ; 24 cm
Contents: APPLIED MACHINE LEARNING WITH PYTHON --
Contents --
List of Figures --
Preface --
Chapter 1. Introduction to Machine Learning --
1.1 A simple supervised model: Nearest Neighbor --
1.2 Preprocessing --
1.3 Methods for Dealing with Imbalanced Data --
1.4 Reducing Dimensionality: Principal Component Analysis --
Chapter 2. Linear Models for Machine Learning --
2.1 Linear Regression --
2.2 Shrinkage Methods --
2.3 Robust Regression --
2.4 Logistic Regression --
2.5 Linear Support Vector Machine --
2.6 Beyond Linearity: Kernelized Models Chapter 3. Beyond Linearity: Ensemble Methods for Machine Learning --
3.1 Introduction --
3.2 Ensemble Methods --
3.3 Random Forests --
3.4 Boosting Methods --
Chapter 4. An Introduction to Modern Machine Learning Techniques --
4.1 Introduction to Natural language Processing --
4.2 Introduction to Deep Learning --
Appendices --
Appendix A.A crash course in Python --
A.1 Building Blocks in Python --
A.2 Data Structure in Python --
A.3 Loops in Python --
A.4 Advanced Data Structure in Python --
A.5 Advanced Concepts on Functions --
A.6 Introduction to Object-Oriented Programming Appendix B. Mathematics behind the skip-gram model --
Index --
Bibliography --
Back Cover
Responsibility: Andrea Giussani.

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