Big Data & Microservices - Know How?

Machine Learning & Deep Learning Understanding the latest advancements in artificial intelligence can seem overwhelming, but it really boils down to two concepts you’ve likely heard of before:  machine learning  and  deep learning . These terms are often thrown around in ways that can make them seem like interchangeable buzzwords, hence why it’s important to understand the differences. And those differences should be known! Examples of machine learning and deep learning are everywhere. It’s how Netflix knows which show you’ll want to watch next or how Facebook knows whose face is in a photo. And it’s how a customer service representative will know if you’ll be satisfied with their support before you even take a customer satisfaction (CSAT) survey. So what are these concepts that dominate the conversations about artificial intelligence and how exactly are they different? What is machine learning? Here’s a basic definition of machine learning: “Algorithms that

Introduction to Customer Segmentation in Python In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python. In the Retail sector, the various chain of hypermarkets generating an exceptionally large amount of data. This data is generated on a daily basis across the stores. This extensive database of customers transactions needs to analyze for designing profitable strategies. All customers have different-different kind of needs. With the increase in customer base and transaction, it is not easy to understand the requirement of each customer. Identifying potential customers can improve the marketing campaign, which ultimately increases the sales. Segmentation can play a better role in grouping those customers into various segments. In this tutorial, you will cover the following topics: What is Customer Segmentation? Need of Customer Segmentation Types of Segmentation Customer