logo-StatusNeo
d

WE ARE EXPERTS IN TECHNOLOGY

Let’s Work Together

Image Alt

Data Science

Key Difference :- NameAmazon Neptune  ArangoDB  Cassandra  Microsoft Azure Cosmos DB  Neo4j  DescriptionFast, reliable graph database built for the cloudNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Wide-column store based on ideas of BigTable and DynamoDB Globally

Extreme Gradient Boost is referred to as XGBoost. In contrast to Gradient Boost, XGBoost uses regularization parameters to prevent overfitting. In order to learn about XGBoost we first need to know about Gradient Boosting. Gradient Boosting One well-liked boosting approach is gradient boosting.

“Generative Adversarial Network— the most interesting idea in the last ten years in machine learning” by Yann LeCun, VP & Chief AI Scientist at Facebook, Godfather of AI. Source: https://analyticsindiamag.com/artificial-intelligence-brings-mona-lisa-to-life-using-gans/ GAN - What is Generative Adversarial Networks ? GANs are unsupervised deep learning techniques.