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Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
PHP and PostgreSQL Advanced Web Programming
PHP and PostgreSQL Advanced Web Programming
Sams' PHP and MySQL Web Development, by Luke Welling and Laura Thomson, showed that there is a strong demand for books that describe how to use PHP together with a specific open-source database to develop Web applications.

While MySQL is very popular, PostgreSQL is widely considered to be the more powerful of the two open-source databases. And...

Learning from Catastrophes: Strategies for Reaction and Response
Learning from Catastrophes: Strategies for Reaction and Response

Breakthrough Best Practices for Managing Extreme Risks–Both Natural and Man-Made

  • How to prepare for risks ranging from financial crises and climate change to pandemics and terrorism
  • Indispensable...
Business Analysis: Microsoft Excel 2010 (MrExcel Library)
Business Analysis: Microsoft Excel 2010 (MrExcel Library)

USE EXCEL 2010 TO GAIN DEEPER INSIGHTS, MAKE SMARTER DECISIONS, AND EARN MORE PROFITS

 

Using real-world examples, Carlberg helps you put Excel’s features and functions to work and get the power of quantitative analysis behind your management...

Business Applications and Computational Intelligence
Business Applications and Computational Intelligence
Computational intelligence has a long history of applications to business - expert systems have been used for decision support in management, neural networks and fuzzy logic have been used in process control, a variety of techniques have been used in forecasting, and data mining has become a core component of customer relationship management in...
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Reveals How HMMs Can Be Used as General-Purpose Time Series Models

Implements all methods in R
Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and
...

Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing)
Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing)

This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making...

Sas R 9.1.3 Language Reference: Concepts
Sas R 9.1.3 Language Reference: Concepts
This title comprehensively documents essential concepts for SAS features, the DATA step, and SAS files so you can effectively manage your data.

SAS is a set of solutions for enterprise-wide business users as well as a powerful fourth-generation programming language for performing tasks such as these:
Handbook on Decision Making: Vol 2: Risk Management in Decision Making (Intelligent Systems Reference Library)
Handbook on Decision Making: Vol 2: Risk Management in Decision Making (Intelligent Systems Reference Library)

This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision...

Managing and Mining Uncertain Data (Advances in Database Systems)
Managing and Mining Uncertain Data (Advances in Database Systems)

Uncertain data management has seen a revival in interest in recent years because of a number of new fields which utilize this kind of data. For example, in fields such as privacy-preserving data mining, additional errors may be added to data in order to mask the identity of the records. Often the data may be imputed using statistical methods...

Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and...

Troubleshooting Oracle Performance
Troubleshooting Oracle Performance
What do you do when your database application isn’t running fast enough? You troubleshoot, of course. Finding the slow part of an application is often the easy part of the battle. It’s finding a solution that’s difficult. Troubleshooting Oracle Performance helps by providing a systematic approach to addressing the...
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