A Deeper Understanding of The Algorithm in Python Programming Language — Introduction If you are coming from the introductory article: Branch and Bound — Introduction Prior to Coding the Algorithm From Scratch, then this is the part where we progress in our understanding of the algorithm by coding it from scratch. This always helps me understand the algorithm's workings, advancing the algorithmic…

How to Handle the Complexities and Cleverly Handle Financial Datasets — INTRODUCTION It is no secret in the world of data science that one of the secrets to producing great data science outputs is clean data. As they say, “Garbage in, garbage out”. We should stop, however, romanticizing data in real life: data is never really clean, even in corporate or big…

How the Modern Organization Can Utilize Both Chatbots and ChatGPT — Introduction The benefits of using technology, particularly automation, have already been discussed, quantified, and validated by numerous sources and accounts. Some of the advantages include cost-efficiency both in time and actual manpower hired, ease of data analysis, consistency and quality, and global scalability. What needs to be discussed, however, is how…

An Introduction to Integer Problems and One of The Ways to Solve Them — Introduction Integer programming (IP) is a special case of linear programming (LP) where the decision variables are restricted to integer values. That is, values such as 2.5 or 4.2 are not possible solutions to these problems. This requirement is treated as an additional constraint to the LP and in turn, makes…

Solving A Staff Resource Allocation Problem Using Genetic Algorithm — Introduction If you came here from my previous article, Evolution in Your Code: Understanding and Coding Genetic Algorithm From Scratch — Part 1, welcome back. If you’re new here, I recommend reading the first part as it would make it easier to understand the intuition behind the code we are going…

Determining Which Problems Require Your Analytics Expertise — Introduction In my attempt to grow my expertise as a business, thought, and analytical leader, I tried to read up, attend seminars, and strike up conversations with similar leaders in the field. One of the problems that I am often asked is “What analytical tool should we use to solve [insert…

Four Essential Tools Every Data Scientist Should Have in Their Toolbox — It’s a great time to be a data scientist! What takes a lot of time to put together can be automated now, leaving much room to improve insights-creation and the machine learning model design. A lot has been written about these tools already out there, and I wanted to add…

The Critical Role of Machine Learning in Finance, the Overlooked Backend Problem and the Way Forward — Introduction When talking about digital transformation in financial services, two things come to mind as critical issues: the importance of traditional finance function and the cost of “technology debt”. In this article, I will discuss how machine learning serves as the bridge between these two topics, and therefore, how it has…

Understanding and Creating the Code from Scratch — Introduction — The Inspiration Behind the Algorithm Have you ever looked at nature and wondered at how organisms evolved, adapted, and survived over millennia? What if I told you that you, sitting in front of your computer, hold the power to simulate a similar process of evolution, not over millennia, but in mere seconds? …