This post is the second part of the multi-part series on how to build a search engine –

• How to build a search engine - Part 1: Installing the tools and getting the technology stack ready
• How to build a search engine - Part 2: Configuring elasticsearch
• How to build a search engine - Part 3: …

I am using R for building a predictive model. My data is stored in mongoDB collections. So i connected to MOngoDB using R to get the data and creating a dataframe in R by converting the BSON values to list and storing about 64567 records using a cursor, which took about 15 minutes. 

Its taking more time to create the dataframe everyday. Did anyone over here worked in similar situations? How did you…

In developing database applications, usually it is the records corresponding to the max/min value that we need to retrieve, instead of the value itself. For example, the occasion in which each employee gets his/her biggest pay raise; the three lowest scores ever got in golf; the five days in each month when each product gets its highest sales amount; and so on. As the max function of SQL can only retrieve the max value, instead of the records to which the max…

In a post for Dataversity, I discussed the power of "Beginning with the End in Mind" for Data Professionals, Data Scientists, Business Analysts, and Technologists...

What if Steven Covey was a technologist, data professional, or data scientist?  Would the best-selling author–best known for promoting his ”…

The strategy is very easy to describe:

1. Divide the domain of your function in k sub intervals.

2. Initialize k monomials;

3. Consider the monomials as centroids of your clustering algorithm.

4. Assign the points of the function to each monomial in compliance to the cluster algo.

5. Use the gradient descent to adjust the parameters of each monomial.

6. Go to 4. until the accuracy is good enough.

Read the entire post at:…