Armor
Author:
Publisher:
Published: 1958
Total Pages: 340
ISBN-13:
DOWNLOAD EBOOKThe magazine of mobile warfare.
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Author:
Publisher:
Published: 1958
Total Pages: 340
ISBN-13:
DOWNLOAD EBOOKThe magazine of mobile warfare.
Author: United States. National Archives and Records Administration
Publisher:
Published: 2002
Total Pages: 28
ISBN-13:
DOWNLOAD EBOOKAuthor: Charles Hubbard Judd
Publisher:
Published: 1918
Total Pages: 228
ISBN-13:
DOWNLOAD EBOOKAuthor: David Lilburn Watson
Publisher: Newnes
Published: 2013-08-30
Total Pages: 914
ISBN-13: 1597497452
DOWNLOAD EBOOKThis is the first digital forensics book that covers the complete lifecycle of digital evidence and the chain of custody. This comprehensive handbook includes international procedures, best practices, compliance, and a companion web site with downloadable forms. Written by world-renowned digital forensics experts, this book is a must for any digital forensics lab. It provides anyone who handles digital evidence with a guide to proper procedure throughout the chain of custody--from incident response through analysis in the lab. A step-by-step guide to designing, building and using a digital forensics lab A comprehensive guide for all roles in a digital forensics laboratory Based on international standards and certifications
Author:
Publisher:
Published: 1994
Total Pages: 32
ISBN-13:
DOWNLOAD EBOOKAuthor: Wool Jute and Flax Industry Training Board
Publisher:
Published: 1973
Total Pages: 24
ISBN-13: 9780904278002
DOWNLOAD EBOOKAuthor: Vijay Kotu
Publisher: Morgan Kaufmann
Published: 2014-11-27
Total Pages: 447
ISBN-13: 0128016507
DOWNLOAD EBOOKPut Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples