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Python Machine Learning
Python Machine Learning

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

About This Book

  • Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization
  • Learn effective strategies and best practices to...
Oracle SOA Suite 11g R1 Developer's Guide
Oracle SOA Suite 11g R1 Developer's Guide

We are moving towards a standards-based Service-Oriented Architecture (SOA), where IT infrastructure is continuously adapted to keep up with the pace of business change. Oracle is at the forefront of this vision, with the Oracle SOA Suite providing the most comprehensive, proven, and integrated tool kit for building SOA-based...

Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications
Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for...

Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Introduction to Data Mining Using SAS Enterprise Miner
Introduction to Data Mining Using SAS Enterprise Miner

If you have an abundance of data, but no idea what to do with it, this book was written for you! Packed with examples from an array of industries, Introduction to Data Mining Using SAS Enterprise Miner provides you with excellent starting points and practical guidelines to begin data mining today. Author Patricia Cerrito encourages you to...

Mastering matplotlib
Mastering matplotlib

A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

About This Book

  • Customize, configure, and handle events, and interact with figures using matplotlib
  • Create highly intricate and complicated graphs using matplotlib
  • ...
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

DB2 Version 8: The Official Guide
DB2 Version 8: The Official Guide

IBM DB2 Universal Database v8.1.2 will help you access any information, from any application, from anywhere in your organization, anytime—and do it all more easily and cost-effectively than you ever thought possible.

Now, in DB2 Version 8: The Official Guide, a team...

Inductive Databases and Constraint-Based Data Mining
Inductive Databases and Constraint-Based Data Mining

This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and exciting research area. Of special interest are the recent methods for constraint-based...

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that...

Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications
Towards a Unified Modeling and Knowledge-Representation based on Lattice Theory: Computational Intelligence and Soft Computing Applications
By ‘model’ we mean a mathematical description of a world aspect. With the proliferation of computers a variety of modeling paradigms emerged under computational intelligence and soft computing. An advancing technology is currently fragmented due, as well, to the need to cope with different types of data in different application domains....
Microarray Image Analysis: An Algorithmic Approach
Microarray Image Analysis: An Algorithmic Approach

To harness the high-throughput potential of DNA microarray technology, it is crucial that the analysis stages of the process are decoupled from the requirements of operator assistance. Microarray Image Analysis: An Algorithmic Approach presents an automatic system for microarray image processing to make this...

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