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Applying Predictive Analytics: Finding Value in Data
Applying Predictive Analytics: Finding Value in Data

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python
Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

  • Gain real-world contextualization using deep learning problems concerning research and application
  • Get to know the best practices to improve and optimize your machine...
Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Big Data Analytics with SAS: Get actionable insights from your Big Data using the power of SAS
Big Data Analytics with SAS: Get actionable insights from your Big Data using the power of SAS

Leverage the capabilities of SAS to process and analyze Big Data

About This Book

  • Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics
  • Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook...
Project Management and Engineering Research: AEIPRO 2017 (Lecture Notes in Management and Industrial Engineering)
Project Management and Engineering Research: AEIPRO 2017 (Lecture Notes in Management and Industrial Engineering)
This is the Proceedings of the 20th International Congress on Project Management and Engineering, that was held at the Technical University of Cartagena, Spain, from July 13 to 15, 2016. It brings together a collection of recent works of researchers and professionals in the Project Management and Engineering fields of Civil Engineering and...
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)
Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Bayesian Computation with R (Use R)
Bayesian Computation with R (Use R)
The book is a concise presentation of a wide range of Bayesian inferential problems and the computational methods to solve them. The detailed and thorough presentation style, with complete R code for the examples, makes it a welcome companion to a theoretical text on Bayesian inference.... Smart students of statistics will want to have both R and...
Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
This book provides a complete picture of several decision support tools for predictive maintenance. These include embedding early anomaly/fault detection, diagnosis and reasoning, remaining useful life prediction (fault prognostics), quality prediction and self-reaction, as well as optimization, control and self-healing techniques. It shows...
Predictive Analytics For Dummies
Predictive Analytics For Dummies

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Computer Models in Biomechanics: From Nano to Macro
Computer Models in Biomechanics: From Nano to Macro

This book contains a collection of papers that were presented at the IUTAM Symposium

on “Computer Models in Biomechanics: From Nano to Macro” held at Stanford University, California, USA, from August 29 to September 2, 2011.

It contains state-of-the-art papers on:

- Protein and Cell...

Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results
Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.

Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This...

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