This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Correlation is a measure of linear association between two variables X and Y, while linear regression is a technique to make predictions, using the following model: Y = a0 + a1 X1 +… Read More »Difference Between Correlation and Regression in Statistics
The following graphic is based on Sam Priddy’s excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting points for… Read More »How to Communicate Data
I just uploaded a new chapter to my github proto-book “Bayesuvius”. This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networks 🙂… Read More »Added Chapter on Reinforcement Learning to my book “Bayesuvius” on Bayesian Networks
Data scientist ranks third on the list of LinkedIn emerging jobs of 2020. Similarly, it ranks first on Glassdoor’s hottest jobs of 2020. The data… Read More »Why Data Science is a hot Career in 2020
What is a commodity? Commodity are basic raw materials with certain standards that are used with other goods, commodity are often the basis of the… Read More »Data As Commodity: For Data Science Professional
Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix… Read More »The Rise and Rise of Price Analytics!
In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good… Read More »23 sources of data bias for #machinelearning and #deeplearning
Math and statistics are vital components of any data scientist’s tool box. While some view statistics as a type of math, the reality is that… Read More »Math vs. Statistics in One Picture
Summary: Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African… Read More »Racial Bias in Modeling – Not as Simple as You Might Think
Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a play on the surname of… Read More »QC Paulinesia, !(yet another book about quantum computing)
