Data is the foundation for machine learning (ML) algorithms. One of the most common formats for storing large amounts of data is Apache Parquet due to its compact and highly efficient format. This means that business analysts who want to extract insights from the large volumes of data in their...

Artificial intelligence has emerged as a powerful technology that can drive substantial transformations in businesses across diverse industries. However, traditional machine learning models have struggled to keep pace with the dynamic nature of our rapidly evolving world, hindering their effectiveness in handling the influx of data generated by the Internet...

While the current AI boom is only just getting started, an early winner is Nvidia, who – on Tuesday, May 30th – saw the company’s market capitalization exceed US$1 trillion for the first time. For a chip designer with no fabrication capabilities of its own, this is a significant moment....

2.1 Problem 🎯In the application of Physics-Informed Neural Networks (PINNs), it comes as no surprise that the neural network hyperparameters, such as network depth, width, the choice of activation function, etc, all have significant impacts on the PINNs’ efficiency and accuracy.Naturally, people would resort to AutoML (more specifically, neural architecture...

All you need to know about getting started with ML.The rise of AI has been largely driven by one tool in AI called Machine Learning. It is the science of getting computers to learn and act like humans do, and improve their learning over time in an autonomous fashion, by...

Emerging technologies such as artificial intelligence and machine learning have transformed the traditional finance function by making processes efficient, improving accuracy, and enabling data-driven decision-making. According to a Forrester survey, 98% of financial institutions believe that AI and ML can give them an edge and improve how they do business....

The Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning (ML) models on Amazon SageMaker. Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t traverse the internet. To ensure the...

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. How Qualcomm AI Research is optimizing hardware-specific compilers and chip design with AI Combinatorial problems are all around us. When we are faced with many choices and we need to find an...

The below is a summary of my article on Open Data as published on TheDigitalSpeaker.com Open data, a concept rapidly gaining importance in our increasingly data-driven world, refers to freely accessible and usable data by anyone without restrictions, be it copyrights, patents, or other control mechanisms. This data can come...

Theoretical Concepts & ToolsData Validation: Data validation refers to the process of ensuring data quality and integrity. What do I mean by that?As you automatically gather data from different sources (in our case, an API), you need a way to continually validate that the data you just extracted follows a...