One of the biggest problems in data management and data science is being able to obtain “good” data. You need to gather sufficient data from a substantial array of subjects who fit your study’s…Blog Your Data Is Sound, But How’s Your Dashboard? 3 Likes
Guest blog post byBlog How to Use Cohort Data to Analyze User Behavi 9 Likes 19 Worst Mistakes at Data Science Job Intervi
This applies to many tech job interviews. But here we provide specific advice for data scientists and other professionals with a similar background. More advice is being added…Blog 19 Worst Mistakes at Data Science Job Intervi 5 Likes How to Tell a Compelling Story with Data - 6
Author: Gaurav Jha.
The way a message is communicated…Blog How to Tell a Compelling Story with Data - 6 15 Likes Top 10 Machine Learning Algorithms Many articles have been written about the top machine learning algorithms: click here and here for instance. Most of them seem to define top as oldest, and thus most used, ignoring modern, efficient… Discussion Top 10 Machine Learning Algorithms 16 Likes
Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with…Blog 11 Important Model Evaluation Techniques Ever 35 Likes Statistical Analysis Advisor Chart I have prepared a Statistical Advisor chart (attached, here) using online StatSoft book, I have also tried to include side notes for quick reference, this is my first draft version and will improve i… Discussion Statistical Analysis Advisor Chart 46 Likes
We are now at 9 categories after a few updates. Just like there are a few categories of statisticians…Blog Six categories of Data Scientists 47 Likes