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Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf

Download free Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf | solutions

Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf

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According Download free Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf | solutions to the research firm Markets and Markets, the global big data market is expected to grow by 26% per year from 2013 to 2018, from $14.87 billion in 2013 to $46.34 billion in 2018.1 Corporations and institutions worldwide are learning to apply data mining and predictive analytics, in order to increase profits. Companies that do not apply these methods will be left behind in the global competition of the twenty-first-century economy. for more solutions manual click here.

 

 

Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf

Humans Download free Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf | solutions are inundated with data in most fields. Unfortunately, most of this valuable data, which cost firms millions to collect and collate, are languishing in warehouses and repositories. The problem is that there are not enough trained human analysts available who are skilled at translating all of this data into knowledge, and thence up the taxonomy tree into wisdom. This is why this book is needed.
The McKinsey Global Institute reports2:

There will be a shortage of talent necessary for organizations to take advantage of big data. This book is an attempt to help alleviate this critical shortage of data analysts. Data mining is becoming more widespread every day, because it empowers companies to uncover profitable patterns and trends from their existing databases. Companies and institutions have spent millions of dollars to collect gigabytes and terabytes of data, but are not taking advantage of the valuable and actionable information hidden deep within their data repositories. However, as the practice of data mining becomes more widespread, companies that do not apply these techniques are in danger of falling behind, and losing market share, because their competitors are applying data mining, and thereby gaining the competitive edge.

 

 

 

 

WHO WILL BENEFIT FROM THIS BOOK?

In Download free Data Mining and Predictive Analytics 2nd edition Daniel Larose solution manual pdf | solutions Data Mining and Predictive Analytics, the step-by-step hands-on solutions of real-world business problems using widely available data mining techniques applied to real-world data sets will appeal to managers, CIOs, CEOs, CFOs, data analysts, database analysts, and others who need to keep abreast of the latest methods for enhancing return on investment. Using Data Mining and Predictive Analytics, you will learn what types of analysis will uncover the most profitable nuggets of knowledge from the data, while avoiding the potential pitfalls that may cost your company millions of dollars. You will learn data mining and predictive analytics by doing data mining and predictive analytics.

DANGER! DATA MINING IS EASY TO DO BADLY

The growth of new off-the-shelf software platforms for performing data mining has kindled a new kind of danger. The ease with which these applications can manipulate data, combined with the power of the formidable data mining algorithms embedded in the black-box software, make their misuse proportionally more hazardous. In short, data mining is easy to do badly. A little knowledge is especially dangerous when it comes to applying powerful models based on huge data sets. For example, analyses carried out on un preprocessed data can lead to erroneous conclusions, or inappropriate analysis may be applied to data sets that call for a completely different approach, or models may be derived that are built on wholly unwarranted specious assumptions. If deployed, these errors in analysis can lead to very expensive failures. Data Mining and Predictive Analytics will help make you a savvy analyst, who will avoid these costly pitfalls.

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