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OREILLY LIVE LESSONS APPLIED DATA MINING FOR BUSINESS ANALYTICS TUTORiAL-PROPAGANDA
OREILLY LIVE LESSONS APPLIED DATA MINING FOR BUSINESS ANALYTICS TUTORiAL-PROPAGANDA | 8.9 GB


OREILLY.APPLIED.DATA.MINING.FOR.BUSINESS.ANALYTICS.TUTORiAL:

www.safaribooksonline.com:


….[COURSE.iNFO]………………………………………….
By: Dursun Delen:
Publisher: PH Professional Business:
Release Date: June 2016:
ISBN: 0134212525:
Running Time: 06:25:47:
Topics: Analytics:

Description:
This easy video tutorial is the fastest way to master modern:
data science best practices and use them to promote timely,:
evidence-based decision-making! Applied Data Mining Live-:
Lessons demystifies current best practices, showing how to:
uncover hidden patterns and leverage them to improve all:
aspects of business performance. Drawing on extensive:
experience as a researcher, practitioner, and instructor, Dr:
Dursun Delen shows you exactly how analytics and data mining:
work, why they’ve become so important, and how to apply them:
to your problems. Delen reviews key concepts, applications,:
and challenges; introduces advanced tools and technologies,:
including IBM Watson; and discusses privacy concerns:
associated with modern data mining. Next, he guides you:
through the entire data mining process, introducing KDD,:
CRISP-DM, SEMMA, and Six Sigma for data mining. You’ll watch:
him demonstrate prediction, classification, decision trees,:
and cluster analysis…key algorithms such as nearest neighbor:
.artificial neural networks…regression and time-series:
forecasting…text analytics and sentiment analysis…big data:
techniques, technologies, and more. In just hours, you’ll be:
ready to analyze huge volumes of data, discover crucial new:
insights, and make better, faster decisions!:
:
:

….[TABLE.OF.CONTENTS]…………………………………….
:
Lesson 1: Introduction to Analytics:
Understand how data mining and analytics fit together, why:
analytics has become so popular, key analytics applications &:
challenges, and today’s cutting edge of analytics: IBM Watson:
:
Lesson 2: Introduction to Data Mining:
Discover what data mining is and isn’t…explore todays most:
common data mining applications…see what kind of patterns:
data mining can discover…explore popular data mining tools:
consider privacy issues associated with data mining:
:
Lesson 3: The Data Mining Process:
Explore key data mining-related processes and methodologies,:
including KDD, CRISP-DM, SEMMA, and Six Sigma for Data Mining,:
and choose the best options for your own projects:
:
Lesson 4: Data and Methods in Data Mining:
Understand the role of data in data mining…preprocess your:
data…use prediction, classification, decision trees, cluster:
analysis, and the k-Means Clustering and Apriori algorithms:
replace data mining misconceptions with realities:
:
Lesson 5: Data Mining Algorithms:
Use nearest neighbor and similarity measure algorithms:
explore artificial neural networks and support vector machines:
use linear and logistic regression…perform time-series fore-:
casting:
:
Lesson 6: Text Analytics and Text Mining:
Explore Natural Language Processing…text mining applications:
processes, and tools…and RapidMiner demonstration:
:
Lesson 7: Big Data Analytics:
See where big data comes from…review the Vs that define big:
data..explore big data concepts, business problems, and:
technologies…discover the role of data scientists…get:
started with stream analytics and data stream mining:
:
As always we include all the propaganda!:

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