Many posts online are saying that: a Data Scientist's role is obsolete or can be classified as Analyst or Engineer. Some claim that this role was overhyped and that data scientists would ultimately move on to specialise in analysis or engineering. Design by Geoff Sence . Saying this means that one missed the word that explains the role of a data scientist: Science Science is a word that has been largely misunderstood. Britannica defines Science as the knowledge about or stud

The second part of the series Accuracy vs Correct uses classifiers to draw out some practices to evaluate whether the model is accurate or correct. In a previous article , I discussed this concept related to linear models, which are easier to visualise and explain. I hope that with patience I can do the same with classifiers. A classifier is a model that looks at the data and attempts to place each data point in its respective category. As an example, suppose there are 100

Have you ever spoken with a data scientist who said: When I see an accuracy of 80% or higher, I know something might be wrong. I bet your first reaction is confusion because the above statement defies any logic, at least theoretically. It is normal to ask: Why? Is not a higher accuracy better? Theoretically, YES! In practice, higher accuracy may not be better. Most data science courses promote high accuracy or show statistics that translate to 100% accuracy or are equally r

Research is, in my opinion, another very important step in the project lifecycle. I read articles claiming that Data Science is dead because most of the work can be automated. However research can never be automated and because of it, I believe that data science shall live on. I make this claim with great awareness about how businesses are evolving and how the industry is educating itself on data richness and machine learning. Research is about searching for something. Acco

Science has been around for centuries and shall continue for many more. The idea that science can be stopped and removed from our lives is unfathomable, simply because we live by its method - The Scientific Method . It is a technique which we use to find answers to our questions, choose which car to buy or which road is optimal to get home quickly after a late dinner. It is a behaviour that we practice but do not put a label on because it comes naturally. Academically speaki