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Artificial Intelligence in Education (Frontiers in Artificial Intelligence and Applications)
Artificial Intelligence in Education (Frontiers in Artificial Intelligence and Applications)
The 12th International Conference on Artificial Intelligence in Education (AIED-2005) is being held July 18–22, 2005, in Amsterdam, the beautiful Dutch city near the sea. AIED-2005 is the latest in an on-going series of biennial conferences in AIED dating back to the mid-1980’s when the field emerged from a synthesis of artificial...
Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined...
Statistics and Data with R: An applied approach through examples
Statistics and Data with R: An applied approach through examples
R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields...
Building E-Commerce Solutions with WooCommerce
Building E-Commerce Solutions with WooCommerce

The WooCommerce plugin for WordPress is probably the world's simplest way to build an online store, and this brilliant tutorial makes it easier still. Use your existing knowledge of PHP and WordPress to get selling, fast.

Overview

  • Explore this do-it-yourself e-commerce solution using WordPress and...
Statistics for Six Sigma Made Easy
Statistics for Six Sigma Made Easy

So you’re ready to improve your processes and products and satisfy your customers through Six Sigma—but you’re not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate millions of dollars in savings, explains how to use...

Data Mining & Statistical Analysis Using SQL
Data Mining & Statistical Analysis Using SQL

This book is not just another theoretical text about statistics or data mining. No, instead it is aimed for database administrators who want to use SQL or bolster their understanding of statistics to support data mining and customer relationship management analytics.

Each chapter is self-contained, with examples tailored to real...

Statistical Signal Processing: Frequency Estimation (SpringerBriefs in Statistics)
Statistical Signal Processing: Frequency Estimation (SpringerBriefs in Statistics)

Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is...

Beginning PivotTables in Excel 2007: From Novice to Professional
Beginning PivotTables in Excel 2007: From Novice to Professional
Beginning PivotTables in Excel 2007 explains what Pivot Tables are, how you can benefit from using them, how to create them and modify them, and how to use their enhanced features. Using a Pivot Table in Microsoft Office Excel 2007 is a quick and exciting way to slice and dice a large amount of data.
  • Carefully explains the...
Utility-Based Learning from Data
Utility-Based Learning from Data

Statistical learning — that is, learning from data — and, in particular, probabilistic model learning have become increasingly important in recent years. Advances in information technology have facilitated an explosion of available data. This explosion has been accompanied by theoretical advances, permitting new and...

Think Bayes
Think Bayes

If you know how to program with Python and also know a little about probability, you’re ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of continuous mathematics. Once you...

Python for Finance: Analyze Big Financial Data
Python for Finance: Analyze Big Financial Data

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects...

Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

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