This article describes the analytical technique of gradient boosting regression.
Author: Smarten
This article describes the analytical technique of random forest regression.
Don’t Be Afraid of Self-Serve Data Preparation! It’s Easy. You Can Do It!
Oh, the mysterious world of data preparation! It is daunting and confusing and…wait, no! It doesn’t have to be. If you aren’t employed as an IT professional, a business analyst or a data scientist, you probably see this arena as confusing and intimidating and you probably want nothing to do with data preparation. BUT, when you need a report, or you have to provide a recommendation to your boss in a staff meeting, you desperately need that data and that analysis, don’t you?
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Small eCommerce Businesses Can Improve Results with Analytics!
If you are a business owner with an eCommerce or online shopping site, you probably spend a lot of time trying to understand your business results. There are numerous surveys that address the market and the activity in online shopping. Regardless of which survey you read, you are probably surprised to know that more than 2 billion people shop online. But, those numbers don’t tell the whole story. It is also important to understand that people will often check prices online while they are standing in a retail store just to see if they can find something at a better price. So, they don’t always buy your services or products just because they visit your site. And, you are probably not surprised to know that your competition is growing every day. You know that better than anyone.
How Can I Make it Easier for Business Users to Perform Analytics?
When a business wants to roll out advanced analytics to its business users, it must consider the average skill level and understanding of analytical techniques and ensure that the solution it chooses will support its project goals. One of the most important factors of business user analytics is user-friendly, simple analytics in an augmented analytics environment.
Create an Environment that is Suitable for Citizen Data Scientists!
When a business user takes on the new role of Citizen Data Scientist, it is often with misgivings and concerns. If their business and management team have not adequately explained the expectations of this new role, or made the workflow and cultural changes required to ensure that this new role is successful, the business user and team member is likely to fail, and the Citizen Data Scientist initiative is likely to fail.
Is Predictive Analytics Real or Does it Promise More Than it Delivers?
Why would anyone want or need to use predictive analytics? What good is forecasting anyway? Doesn’t it always end up being wrong? Well, no! That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Nearly every organization today is using analytics to improve productivity, competitive positioning, market presence, financial investment strategies, price point planning, risk mitigation and many other business factors.
Business Users Don’t Have to Be Data Scientists (But Basic Knowledge is Great)
When you launch an analytics solution within your enterprise, you are probably concerned about getting your business users to adopt that solution. If you can’t engage the business user and achieve user adoption, your return on investment (ROI) will be poor! But, it is important to understand that the right augmented analytics solution can provide the structure and foundation for business users without requiring them to have a sophisticated knowledge of algorithms and analytical techniques.
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