Applying AI and Machine Learning algorithms to e-Commerce is transforming customer experience. Intuitive upselling, fraud detection, and more we discuss the current trends.
In One-shot learning, we provide the model with one reference point/ training sample and it learns to re-identify that instance in the testing data.
Establishing and developing a hybrid data science / IT team is an important step in moving an organization to AI maturity.
Generally, a data science team is composed of Data Scientists, Data Engineers, Machine Learning Engineers, and Data Analysts...
What is Python Pandas Data Frame? Depending on your Data Set it may make more sense to use Apache Spark. Today we compare use cases for Pandas and Spark.
Indellient Data Scientists attend ICML 2020 bringing important knowledge and studies on NLP for Good and Reinforcement Learning for Climate control...
Using Machine Learning and Data Science can help your company detect fraud and asses risk. 4 steps on how to build a Fraud Detection System with your data.
Manage Risk Using Analytical Data Our Data Science approach combines software development and IT expertise with sophisticated data science techniques …
How to use Natural Language Processing techniques and Machine Learning algorithms to counter fraud in various business industries like banking and insurance
Sample applications of machine learning models include prediction, image/speech recognition, recommendation engine, and fraud detection.
Indellient Data Scientists, Meina and Jayeeta give a run down on their expirience at Women Who Code NYC 2019. Workshops and Panels all about women in tech.
Machine Learning is an incredibly important business tool but what is it and how can businesses harness their data through Machine Learning?