StackOverflow’s annual developer survey concluded earlier this year, and they have graciously published the (anonymized) 2019 results for analysis. They’re a rich vie...
Last time I wrote on using Python/Pandas as an adjunct to loading PostgreSQL tables. In this sequel, I demo how R can be used to collaborate with the database in a simi...
Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules cha...
Summary: The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower ski...
I highly recommend the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth The report is free and you can download it at stateo...
Summary: More data means better models but we may be crossing over a line into what the public can tolerate, both in the types of data collected and our use of it. Th...
You don’t need a sophisticated model nor advanced machine learning techniques to quickly get a high level picture and trends for bottom-line business metrics. Not o...
By Ajit Jaokar and Ayse Mutlu. Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. This tutorial is the second b...
Data wrangling is the most important step for business personnel to further analyze data or enter BI system. With the advent of the data age, data sources are becoming m...
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). Here are some lessons and examples to help mature compani...