Bridging the Gap between BI and AI
Traditionally analytics teams have combined deep knowledge of business objectives and available data to get insights into improving performance. They work with stakeholders by …
Data Science
Creating a Data Science Team
What it means to be a data science team Different Data Science Teams serve diversified roles across organizations and industries. …
A journey from Pandas to Spark Data Frames
Python has gathered a lot of popularity and interest as a choice of language for data analysis due to its …
RL for Climate Control & NLP for Social Good: ICML 2020
The 37th annual International Conference on Machine Learning is an academic conference focused on machine learning held from July 12-18, …
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How to Build a Fraud Detection System using Machine Learning Models
In my last blog post, I talked about how to use machine learning models for fraud detection from a business perspective. …
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Natural Language Processing (NLP) in Fraud Analytics
Natural Language Processing with the help of Machine Learning is the current win-win combination used to detect fraud and misinterpreted …
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How to Use Machine Learning to Detect Fraud
Machine Learning has gained increasing popularity over the past several years. More and more companies have started to use Data …
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Our Favourite Data Science Trends for 2020
The field of Data Science is growing with new capabilities and technologies. The 2010s saw a global data science movement- …
What We Learned: WWCode Connect NYC 2019 Recap
WWCode Connect is Women Who Code’s premier developer conference, which was held in New York City on December 5th. Meina …
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Data Science in Practice: Lunch & Learn Recap
This blog was written by Ginny Gao, Senior Data Analyst at Indellient. On May 4, 2017 Ginny presented some key concepts in Data …
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