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Data Analytics

Models and Algorithms for Intelligent Data Analysis

Thomas A. Runkler

Computer Science (R0)

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簡介

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關於本書

語言：English
ISBN：9783658140755
發行日期：2016年7月27日
出版商：Springer Fachmedien Wiesbaden

出版單位：Springer Vieweg
檔案格式：EPUB2
檔案大小：2.68 MB
下載選項：EPUB2 (Adobe DRM)

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Data Analytics

為什麼要和我們一起閱讀？

簡介

關於本書

書籍詳細資料

如何閱讀

延伸閱讀

Data Analysis with Open Source Tools

Applied Geostatistics with SGeMS

System Identification

Performance Modeling and Design of Computer Systems

Elements of Information Theory

Linear Programming and Network Flows

Probabilistic Reliability Models

Bayesian Essentials with R

Guide to Intelligent Data Analysis

An Introduction to Machine Learning

Simulation

Statistical Analysis Techniques in Particle Physics

Analyzing Compositional Data with R

Mathematical Foundations of Computer Networking

Bayesian Filtering and Smoothing

Core Concepts in Data Analysis: Summarization, Correlation and Visualization

Optimization in Engineering Sciences

Handbook of Monte Carlo Methods

Digital Signal and Image Processing using MATLAB, Volume 3

Linear Models

State Estimation in Chemometrics

Analysis and Synthesis of Fault-Tolerant Control Systems

The Gradient Test

Modeling Uncertainty in the Earth Sciences

Graphical Models with R

Concise Dictionary Of Mathematics

Modeling and Simulation

Analytical Network and System Administration

Uncertainty and Optimization in Structural Mechanics

Network Reliability and Resilience

Fault Detection and Diagnosis in Engineering Systems

Optimization of Temporal Networks under Uncertainty

Data Science for Business

Statistical Signal Processing in Engineering

Model Predictive Control

Multistate Systems Reliability Theory with Applications

Introduction to Statistical Machine Learning

Data Model Patterns: A Metadata Map

Advances in Machine Learning and Data Analysis

Variance-Constrained Multi-Objective Stochastic Control and Filtering

Markov Processes for Stochastic Modeling

Advanced Analytics with Spark

Beginning SQL Queries

Practical Hive

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Challenges at the Interface of Data Analysis, Computer Science, and Optimization

Probability and Statistics with Reliability, Queuing, and Computer Science Applications

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Guide to Data Structures

Numerical Methods and Optimization

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Data Mining Applications Using Artificial Adaptive Systems

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Hadoop: Data Processing and Modelling

Guide to Cloud Computing

The Monte Carlo Simulation Method for System Reliability and Risk Analysis

Bursty Human Dynamics

Research in Computational Molecular Biology

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Speech Enhancement

Computing and Combinatorics

Applied and Computational Control, Signals, and Circuits

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Academic Press Library in Signal Processing

Computational Collective Intelligence

Modeling and Optimization: Theory and Applications