This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
As the world slowly emerges from the COVID-19 pandemic, contact tracing remains critical in preventing the spread of infectious diseases and managing potential outbreaks. Throughout… Read More »Challenges of Contact Tracing in a Post-COVID World
Given the current economy, with large companies laying off machine learning employees in droves, one may wonder if spending 4 years and over $80k in… Read More »Is it Still Worth Getting a Machine Learning Degree?
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications We have now entered the era when processor designers can leverage modular semiconductor… Read More »Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications
In our modern era, technology is ubiquitous, making it almost impossible to escape its presence. But when it comes to business, which is better: data… Read More »Data Science vs Cloud Computing: Differences With Examples
From image recognition to autonomous vehicles to predictive analytics in healthcare, artificial intelligence (AI) applications are exploding today. Taking a conscious look at the methodology… Read More »An Overview of the Role Data Plays in AI Development
Over the years of working on commercial AI projects, I have come across various products and business domains that have adopted machine learning algorithms. This experience helped me form some best practices for selecting the right algorithms for different types of business tasks. In this article, I will share some valuable insights from my experience regarding how to work with them in the most efficient way to meet the client’s business needs.
The healthcare sector is a complex ecosystem consisting of different stakeholders- patients, hospitals, physicians, healthcare staff, pharmacies, and laboratories. As one of the most restricted… Read More »Exploring the Benefits of Big Data Analytics in Healthcare
To excel in any career path, it is very important to continuously keep on upgrading with the required skills. And so is the case with… Read More »10 Must have skills for Senior Data Scientists in 2023
The data science field is growing fast, and the field has the vast potential to revolutionize how people live and work. With the increasing amount… Read More »Top 6 Data Science Books for Beginners – 2023
Python comes across as an object-oriented high-level programming language with dynamic semantics that allows rapid application development. It has become a general-purpose programming language for… Read More »What Makes Python a Quick Pick for Data Analysis and Data Science?
