Indellients Data Science approach to deep learning, machine learning and artificial intelligence lead to new growth opportunities and operating efficiencies
Black Box Thinking for Digital Marketing Analytics Last month I read the book Black Box Thinking by Matthew Syed, where he highlights the importance of learning from past …
Read full articleHow to Choose KPIs for your Digital Marketing Campaign
Comprehending natural language text, with its first-hand challenges of ambiguity and co-reference, has been a longstanding problem in Natural Language …
One of the most important topics for marketing analytics is the prediction of customer lifetime value (CLV). Companies can use the CLV prediction to understand an individual client (dynamic …
Read full articleCalculating Dynamic Customer Lifetime Value (DCLV) using Data Science
At Indellient we use and design Dashboards to display data in an accessible and informative way. Stories are very effective …
In the era of Artificial Intelligence, everybody is striving to make the most intelligent machines to replicate human decision making. …
Read full articleOne-shot learning for Fraudulent Cheque Detection with Siamese Network
Data visualizations are the key to translating data into valuable business insight. These days, due to the volume and complexity of data, …
Traditionally analytics teams have combined deep knowledge of business objectives and available data to get insights into improving performance. They work with stakeholders by …
What it means to be a data science team Different Data Science Teams serve diversified roles across organizations and industries. …
Python has gathered a lot of popularity and interest as a choice of language for data analysis due to its …
The 37th annual International Conference on Machine Learning is an academic conference focused on machine learning held from July 12-18, …
Read full articleRL for Climate Control & NLP for Social Good: ICML 2020
In my last blog post, I talked about how to use machine learning models for fraud detection from a business perspective. …
Read full articleHow to Build a Fraud Detection System using Machine Learning Models
Manage Risk Using Analytical Data Our Data Science approach combines software development and IT expertise with sophisticated data science techniques …
