How can we personalize data science education to learn more effectively and profoundly by combining theory and practice? How can we save time, learn from real world problems and focus

According to a recent survey by McKinsey, businesses in a variety of industries have had to cram a decade’s worth of digital transformation into the space of a few short

NLP or Natural Language Processing in healthcare presents some unique and stimulating opportunities. It provides a glide through the vast proportion of new data and leverages it for boosting outcomes,

To create value in the real world, engineers and organizations need to be able to deploy Machine Learning (ML) models in a production environment. However, the unfortunate reality is that

Two terms are used for the same thing: Environmental, Social, and Governance (ESG) and Corporate Social Responsibility (CSR). In the companies I cover, Cisco—with an effort driven by Francine Katsoudas

If you think carefully, you’ll realize that the world we live in today is dependent heavily on the functioning of machines and systems. Almost everything from a light switch to

In this article, I go through exploring two ways to enhance Crop Disease Prediction using Convolution Neural Networks (CNN) or Image Classification. I joined one of Omdena Local Chapters in Malaysia. The

Digital transformation is bringing the world closer and is immensely responsible for driving all activities not only in enterprises but also in the healthcare industry, government sectors and much more.

The healthcare industry is fast realizing the importance of data, collecting information from EHRs, sensors, and other sources. However, the struggle to make sense of the data collected in the

The internet is growing every day and has become the biggest data source for solving problems or improving the quality of life for us. However, the data collected from the