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Analytics: Business Intelligence, Algorithms and Statistical Analysis
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In today's world, analysis has become an extremely important aspect to consider when you are thinking of starting any new line of business or even when it comes to purchasing a new house.
The unfortunate fact is that not many people know what analysis is all about. They tend to assume that each of the elements - analysis, business intelligence, algorithms and statistical analysis - are different entities when in reality they are all interlinked. This book will help you gather a greater insight on all the elements. And you will gain an in-depth knowledge on each of these elements in different parts of the book; helping you to increase your knowledge and widen your horizons!
Here's what is covered:
Analytics 101 - including the challenges and risks
The Types of Analytics - predictive, descriptive and prescriptive analytics
Integrating Business and Analytics - choose the right data and analytics
Business Analytics Technology - the top emerging technologies, tools, and trends
Predictive Analytics - 101
Exploring Data Types Associated Techniques
Business Intelligence 101
Business Intelligence Infrastructure - benefits and how to use it
How to Use the Business Intelligence Infrastructure
The Benefits of Business Intelligence
Data Mining
Data Integration - including the value and benefits
Data VisualizationÂ
Best Algorithms for Analytics - C4.5, K-Means, and Support Vector Machines
Statistical Analysis 101
Data Mining Tools
Machine Learning
Varieties of Machine Learning
Uses of Machine Learning
Big Data Analytics
Artificial Intelligence and Data Science - including Artificial Intelligence 101
Data Science
And much more...
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Audible Audiobook
Listening Length: 5 hours and 54 minutes
Program Type: Audiobook
Version: Unabridged
Publisher: Todd J. Blatt
Audible.com Release Date: January 4, 2018
Whispersync for Voice: Ready
Language: English, English
ASIN: B078RTD9ZK
Amazon Best Sellers Rank:
A brief description of what "analytics" means, but you will need to read some of the other short kindle books available to explore the many branches of Data Science; and some heavy texts to learn how to use the many different tools mentioned.You could probable get the same info with a g- or b- search.
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