AI & Machine Learning

AugSBERT is a simple and effective data augmentation to improve Bi-encoders for pairwise sentence scoring tasks. The idea is based on labeling new sentence pairs by using pre-trained Cross-encoders and combining them into the training set.

This article shows engineers the best way to learn data science. Engineers can focus more on tools, methods, and computer skills. Through learning tools and skills, you would see mathematics and logic behind algorithms. This is a recipe for engineers.

There is the fear of robots, specifically, the worry that they will come and take our jobs. It’s understandable that people are worried. But, with a simple technique, we can make a big difference. With a name and a story, you never know, we might even see robots becoming people’s best mates.

The new capabilities that Enterprise Knowlege Graphs have enabled are started to rewire our brains. And the patterns we are learning within the knowledge graph domain are being applied to other domains outside IT. This is the true revolution that is happening in organizations that are building enterprise knowledge graphs.

Data ingestion is a fundamental task, and everyone would like to have data ready to be analysed. Here is A review of two out of the box tools to solve a traditionally tedious problem.

You should have noticed that Microsoft made two important announcements a few weeks ago: the first, Azure Synapse Analytics became GA, while the other also caused a lot of interest: by introducing Azure Purview as the evolution of Azure Data Catalog, Microsoft proclaimed that this new solution will serve as a unified data governance and data management platform.

We hope that 2021 will not only lead to technology improvements but will also be a year where we progress in areas that lifts everyone’s boats.

For anyone interested in jumping into the field of data science, one of the most important questions is how long does it take to gain competency in data science? This article will discuss the typical timeline for data science competency. The time required to gain competency in data science depends on the level of competency.

Year 2021 will be marked by AI growth characterised by the launch of many AI applications, delivering insights, efficiency and cost-effectiveness in the digital era. And while it’s going to continue permeating all aspects of our lives, here are areas where AI is predicted to have the biggest impact in 2021.

Your team has worked for months to gather data, built a predictive model, create a user interface, and deploy a new machine learning product with some early customers. But instead of celebrating victory, you’re now hearing grumbling from the account managers for those early adopter customers that they’re not happy with the prediction accuracy they

The use of AI and data analytics will become increasingly important in IT as organizations aim to deliver seamless support and predictive capabilities. So then, what might we see next year with AI? As should be no surprise, there is quite a bit. Take a look.