Transaction Categorization Using ML in BFSI Domain
reference Transaction classification is the process of categorizing transactions based on their underlying nature and purpose. It is an important task
From Siri to Sophia: A Journey Through the Evolution of AI
Introduction: How important is safety to us? Can we imagine how safe we are, especially in real-life scenarios, if we seriously
BlazingText : An optimized Word2vec and Text classification algorithm
BlazingText, an Amazon SageMaker algorithm, is a highly optimised Word2vec and Text Classification algorithm. Word2vec algorithm maps each word
How to Determine Forecastability of Demand?
In demand forecasting, there are a lot of cases where data scientists struggle to reach a good forecast error.
NLP: Topic Modelling
Topic modeling is recognizing the words from topics present in documents or corpus of domain relevant data. This is useful
OPTIMIZATION: A Pillar of Machine Learning
Do you know how Netflix recommend you a movie based on your past views? How your spam emails are directly
Lets Compare – Amazon Neptune vs ArangoDB vs Cassandra vs Cosmos DB vs Neo4j
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
Why world is moving towards Graph Databases
We live in a connected world, and understanding most domains requires processing rich sets of connections to understand what’s really
Naive Bayes – the genesis algorithm
Do you ever wonder from where the concept of self-learning machines originated? Exactly when and which scientist figured out a
MACHINE LEARNING/ DEEP LEARNING – XGBoost
Extreme Gradient Boost is referred to as XGBoost. In contrast to Gradient Boost, XGBoost uses regularization parameters to prevent overfitting. In