Machine Learning model to detect Autism

I wanted to apply and understand better how one can apply a Machine Learning model in the real world. One of my topics of interests is Autism. Because of personal experience, I am curious why the process in detecting Autism is not robust. I am not an expert on this topic but the way I…

Understanding Data Science on Titanic_02

Audience This is an introduction for non technical people who want to know about Data Science, but who do not want or who are not ready to go inside the hood of Data Science. If you would like to know more about the workings then see the Analysis Part 02 in Kaggle. Disclaimer: I take…

Understanding Data Science part 01

Reader’s level is Novice level in the Data Science field, and Machine Learning models from the Business side. Introduction Hey there. My curiosity to know Data Science field, and Machine Learning models, and how they contribute to Business and Technology, led me to be a beginner on these topics. The post is written based on…

Coursera – Machine Learning course from Standford University

I started in 2019 learning HTML, CSS, and JavaScript from the https://www.theodinproject.com/. It is a wonderful website containing valuable info. I would not say I know a lot, but for sure I learned the basics of the 3 topics. Along the way, I heard a lot of things about Machine Learning, and I became curious…

Unsupervised learning from Machine Learning

Unlike its counterpart Supervised learning, Unsupervised learning is when you have a data that you have no idea what it is, what structure the data has, how it can be split into common characteristics, and what is the best way to summarise the data. The task to find these is assigned to a machine. So,…

Supervised learning in Machine Learning

In the heart of the Supervised learning, it involves mathematical functions. From our math class, when we provide an input into a function, it will produces an output. The output is based on the mathematical characteristics of the function. The output can be known in advance or unknown to us. What is Supervised learning? We…

What is Machine Learning?

From Professor Andrew Ng’s Machine Learning course in Coursera, the older definition of Machine Learning comes from Arthur Samuel, “the field of study that gives computers the ability to learn without being explicitly programmed.” Tom Mitchell provided the latest definition, “A computer program is said to learn from experience E with respect to some class…

DLT, reduces reconciliation problem?

There have been studies and Proof of Concepts (PoCs) done on DLT in order to investigate its potentials. One of the noted advantages is it reduces reconciliation problem that financial institutions face. I pointed below some of the pros and cons of this advantage. Refer to this post on what a DLT is. During Bear…

DLT, Distributed Ledger Technology, solving Settlement Risk?

Assume we have this scenario. Buyer K wants to purchase Berkshire Hathaway stock and Seller L wants to sell it. Both agree to conduct the transaction. Settlement Risk occurs when Buyer K is not willing or able to complete the purchase the stock. Vice versa, Seller L is not willing or able to complete the…

State Street and Charles River Development

State Street, one of the top 2 global custody banks, is competing with Aladdin and SimCorp Dimension, in the space of front to middle to back office solution. The company fully acquired Charles River Systems, Inc., or known as Charles River Development (CRD), in October 2018. The latter owns Charles River Investment Management Solution (Charles…