This is the last article of the series Decoding Machine Learning. Managing machine learning projects requires careful planning, well thought strategy, and effective use of resources to ensure that they deliver desired results within stipulated timelines. At first it looks…
Often, clients will communicate their overarching vision and a set of requirements to us. So, our responsibility is to carefully analyze their objectives and organize it into an appropriate problem solving approach. In this article, we will delve into the…
In this section of the machine learning playbook, we delve into the critical questions that arise when dealing with the complexities of data. Basically, we tackle the question: what information do you need about the data right from the beginning…
After finalising the planning and preparation aspects of a machine learning project, the next step is to dive into the data itself. In the previous post, we talked about the intricacies of assessing data requirements and explored strategies for assessing…
Scoping a Machine Learning Project Let us paint a scenario that you might be familiar with or will come across during your professional career. The client has just tasked you with a new feature or project that requires you to…