Using Machine Learning to Grow Customer Lifetime Value (1 of 2)
Using Machine Learning To Grow Customer Lifetime Value (1 of 2) In today’s customer-centric market, it’s very important to get to know a customer’s lifetime value (CLV). Customer Lifetime Value helps businesses concentrate their activities around their most “profita
Hemant Warudkar | 10 Jun 2021
What is Machine Learning and Machine Learning Techniques: A Complete Guide
Analyzing data in order to find patterns and apply these findings to business goals is the most general definition of data analytics. In the past few years, the flow of data into enterprises has grown exponentially, making it difficult to analyze data using traditional statistical methods. Data analytics can now overcome this hurdle by incorporating machine learning, an aspect of artificial intelligence. By building efficient algorithms, machine learning automates the process of data analysis, revealing hidden patterns and insights.
Hemant Warudkar | 09 Jun 2021
AI Model Developed to Detect Sarcasm in Social Media Text As Part of Sentiment Analysis
Sarcasm Sentiment Analysis: AI Model to Detect Sarcasm in Social Media What is Sarcasm Sentiment Analysis (sarcastic sentiment detection)? Sentiment analysis of social media means just that – to use data to understand what people feel or think about your product, servic
Prasanna Chitanand | 11 May 2021
The Rise of Commercial Artificial Intelligence in BI
The Rise of Commercial Artificial Intelligence in BI Even as global businesses continue to embrace big data and data analytics, the challenge many faces is: how to derive the most value from the big data. The latter refers to very large sets of data that cannot be handled
Hemant Warudkar | 26 Oct 2020
How to Find Outliers in Data using Machine Learning
How to Find Outliers in Data using Machine Learning No matter how careful you are during data collection, every data scientist has felt the frustration of finding outliers. An outlier is a data point that is noticeably different from the rest. They represent errors in mea
Hemant Warudkar | 11 Sep 2020
How To Use Machine Learning In Predictive CLV Models (2 of 2)
In the first post on this topic, we defined customer lifetime value (CLV) and learned about customer lifetime value models. How to use machine learning in predictive CLV models (Customer Lifetime Value Prediction Model). In this post, we’ll learn how machine learning
Hemant Warudkar | 22 Apr 2020
Prediction using Neural Networks
Prediction Using Neural Networks In the first part of this post, we discussed what neural networks prediction are, what the “artificial” component in them is, and how they are used in data science. Today we look at how they are used in predictive analytics. We will also a
Hemant Warudkar | 27 Feb 2020
Why Are Artificial Neural Networks Important
Why are Artificial Neural Networks important in data science? Artificial Neural networks are an extremely complicated piece of research/technology being developed for decades. They use man-made computing power to try and replicate the way the human brain calculates, and
Hemant Warudkar | 20 Feb 2020
Here’s Why Machine Learning Data Catalogs are Becoming Popular
Why Machine Learning Data Catalogs (MLDCs) are becoming popular In part one of this blog post we had discussed what data catalogs are, and why there is an increase in their use by enterprises over the last two years. In this second and final part of that post, we look at
Hemant Warudkar | 07 Feb 2020
