image from neo4j website Graph Data Science In Neo4j, GDS, or Graph Data Science, is a collection of tools and procedures for performing graph analytics using Cypher, the query language of the Neo4j graph database. It includes algorithms for graph traversal, pathfinding, centrality, community detection, and more. GDS is designed to make it easy to […]
What is trustworthy AI? Trustworthy AI refers to AI systems that are transparent, accountable, and ethically aligned. These AI systems are designed to be transparent in their operations, providing clear and understandable explanations for their decisions or actions. They are also accountable, with mechanisms in place to ensure that they are operating as intended and […]
What is Ontology? Ontology is the philosophical study of the nature of being, existence, or reality, as well as the basic categories of being and their relations. Traditionally listed as a part of the major branch of philosophy known as metaphysics, ontology deals with questions concerning what entities exist or may be said to exist […]
Many corporations and organizations utilize Joomla! CMS is all over the internet, and it is still a popular choice for many.These CMS sites are hosted in different web hosting companies and more and more companies are relying on cloud servcies like AWS, AZURE, GCP etc. Among them “Amazon Lightsail is a cloud platform that’s cost-effective, […]
GTP-Neo From the maker of the GTP-Neo, EleutherAI “GPT-Neo is the code name for a family of transformer-based language models loosely styled around the GPT architecture. Our primary goal is to train an equivalent model to the full-sized GPT-3 and make it available to the public under an open license.” Text-generation with GTP-neo text generation […]
5 ways of doing AutoML using Python libraries
We try to digitalize one part of the paper mill by predicting the water flow of a paper machine to make a paper roll using machine learning methods.
Automated Machine learning(AutoML) is one of the many tools of the data science toolkit that help data scientists to develop machine learning models faster. As it provides methods and processes to make Machine Learning available for non-Machine Learning experts, whereas for experts to improve efficiency of Machine Learning and to accelerate research and implementation.