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Recent Methods from Statistics and Machine Learning for Credit Scoring

Recent Methods from Statistics and Machine Learning for Credit Scoring is een boek van Cuvillier Verlag;

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Credit Scoring and Its Applications

scorecard performance, and survival analysis for credit scoring. Other unique features include methods of monitoring scorecards and deciding;

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Credit Scoring and Its Applications

Credit Scoring and Its Applications is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives;

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Statistics and Machine Learning Methods for EHR Data

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning;

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On Credit Scoring Estimation

Credit scoring methods became a standard tool of banks and other financial institutions, direct marketing retailers and advertising;

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Credit Data and Scoring

Credit Data and Scoring: The First Triumph of Big Data and Big Algorithms illuminates the often-hidden practice of predicting an;

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Readings in Credit Scoring

Credit scoring is one of the most successful applications of statistical and management science techniques in finance in the last forty;

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Machine Learning

Association of American Publishers Award for Professional and Scholarly Excellence Machine Learning: a Concise Introduction offers a comprehensive;

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First-order and Stochastic Optimization Methods for Machine Learning

style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.;

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First-order and Stochastic Optimization Methods for Machine Learning

style, starting from the basic building blocks to the most carefully designed and complicated algorithms for machine learning.;

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Statistical Machine Learning

The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods;

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Machine Learning For Hackers

Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets;

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Data Mining and Statistics for Decision Making

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from;

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Machine Learning Research Progress

methods extract rules and patterns out of massive data sets. The major focus of machine learning research is to extract information from data;

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Intelligent Learning Systems

neural network architecture for on-line learning, and resampling methods for unsupervised learning from sample data. Section 3 focuses on;

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Principles and Theory for Data Mining and Machine Learning

drawn from Statistics, Computer Science, and Electrical Engineering;

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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Data Mining and Machine Learning

patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior;

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Analytical Techniques in the Assessment of Credit Risk: An Overview of Methodologies and Applications

the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best;

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Recent Developments in Machine Learning and Data Analytics

This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;

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Introduction to Statistical Machine Learning

Discusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech;

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High-Dimensional Statistics

and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and;

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Machine Learning Fundamentals

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for;

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Machine Learning Fundamentals

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for;

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Maschinelles Lernen

Machine learning means artificially generating knowledge from experience. This book discusses methods from the fields of statistics and;

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Machine Learning with Spark and Python

Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by;

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Python for Probability, Statistics, and Machine Learning

This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated;

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