The Problem with Data Science Interviews
The messiest job of the 21st century The interview process is likely the most daunting task a data scientist will face in their career. The… Read More »The Problem with Data Science Interviews
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Data Science
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.
Staying Block-Free While Scraping Large E-commerce Sites
Data gathering to keep a competitive advantage over other businesses will drive additional profit growth, especially in the e-commerce industry. Unfortunately, sending too many requests… Read More »Staying Block-Free While Scraping Large E-commerce Sites
Competitor Monitoring for Price Strategy and Product Planning
Because launching an online business has little to no initial cost, aspiring entrepreneurs will likely face a number of rivals who may try to undercut… Read More »Competitor Monitoring for Price Strategy and Product Planning
A Fundamental Theorem for Epidemiology
The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling. That’s because models that try to replicate reality in… Read More »A Fundamental Theorem for Epidemiology
New Probabilistic Approach to Factoring Big Numbers
Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few… Read More »New Probabilistic Approach to Factoring Big Numbers
Data Analytics and Artificial Intelligence: Together Driving the Organization of Today
Industry 4.0 or the fourth industrial revolution is predicted to revolve around data. Organizations that will thrive this revolution will be the ones that will… Read More »Data Analytics and Artificial Intelligence: Together Driving the Organization of Today
Don't Acquire a Company Until You Evaluate its Data Quality
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to… Read More »Don't Acquire a Company Until You Evaluate its Data Quality
Analytics Translators: Fact or Fiction?
It’s been two years since Mckinsey invented the term analytics translator, called it the ‘new must-have role’ and predicted we’d need around 5 million of them. FIVE… Read More »Analytics Translators: Fact or Fiction?
Simulated Statistics is the New Black
Over the years I’ve often been asked by beginners where they should start in statistics, what they should do first, and which parts of statistics… Read More »Simulated Statistics is the New Black
Statistics Used in Data Science (A Dictionary in One Picture)
Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions… Read More »Statistics Used in Data Science (A Dictionary in One Picture)