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AI in Marketing

Machine Learning Solutions For Cold Start Problem In Recommender Systems

Study the past to know the future – Confucius While building product recommenders, the cold start is one of the biggest challenges that developers face, in addition to others such as data scarcity, scalability, and diversity. Synonymous with the failure of a car engine to

| 30 Jul 2021

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 “profitable” clients. The better a business understands CLV, the bette

| 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.

| 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, servi

| 11 May 2021

The Emergence Of Commercial Artificial Intelligence in Business Intelligence

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 with traditional methods. With artificial intellige

| 26 Oct 2020

How to find outliers Outliers In Machine Learning

Dealing With Outliers In 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 measurement,

| 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 learnin

| 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

| 27 Feb 2020

What Is Artificial Neural Networks and their Use in Data Science

What is artificial neural networks and their use 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,

| 20 Feb 2020