Is the grass greener on the other side? As with all things in life, there are pros and cons to moving into industry after being in academia and vice versa. I discuss the differences between the two career paths and things to consider in preparation for the transition....
Introduction Part of my blog will cover the latest and most significant developments in machine learning research. My aim in these paper readings is to extract the key points, so you can easily digest what the research is contributing. I will go into some detail into...
More people than ever are working from home. The global pandemic of 2020 has transformed many of our work routines, environments, and means of communicating. Chances are if you are employed in the technology sector, you are working remotely for at least a part of your...
Data science in industry is booming, and as a result, there has been an explosion of available roles with overlapping skill sets. If you are coming across role titles like “data scientist,” “research scientist,” and “machine learning...
Embarking on a career in data science is an exciting challenge that requires a lot of initiative and a desire to learn and apply knowledge quickly. For research scientists, there is an emphasis on experimentation and scientific discovery. The methods and objectives...
