Natural language processing (NLP) is getting very popular today, which became especially noticeable in the background of the deep learning development. NLP is a field… Read More »Comparison of Top 6 Python NLP Libraries
The age of technology is way past its nascent stage and has grown exponentially during the last decade. In my role, travelling to events and… Read More »Digital Meets 5G; Shaping the CxO Agenda
Autonomous cars are racing down the highway at speeds exceeding 100 MPH when suddenly a car a half-mile ahead blows out a tire sending dangerous… Read More »Blockchain + Analytics: Enabling Smart IOT
My nephew’s a very impressive young man. Five years ago, he received a PhD in Biochemistry/Molecular Biology from a prestigious university, earning numerous teaching and… Read More »a Little SQL with a Little R
One of the most difficult and most critical parts of implementing data science in business is quantifying the return-on-investment or ROI. In this article, we highlight three… Read More »3 Reasons to Learn the Expected Value Framework for Data Analysis
Introduction Did you know that you can execute R and Python code remotely in SQL Server from Jupyter Notebooks or any IDE? Machine Learning Services… Read More »Remotely Send R and Python Execution to SQL Server from Jupyter Notebooks
2018 is set to be the year data finally delivers for both businesses and consumers. Alex Comyn, chief strategy officer at Amaze, explores 8 key… Read More »2018: the year data delivers
Critically reading scientific papers is critical for Data Scientists working some areas – especially those working in health. With that in mind, here are some… Read More »Critically Reading Scientific Papers
In 2018, Fast Company declared ‘Data Scientist’ as the best job in America for the third year in a row! How many of you have noticed people suddenly… Read More »The art of data science…
Machine learning in finance may work magic, even though there is no magic behind it (well, maybe just a little bit). Still, the success of… Read More »Machine learning in finance: Why, what & how
