Data science is a constantly evolving field that applies scientific techniques, algorithmic and computational tools, and statistical methods to extract insights and knowledge from structured and unstructured data. In this tutorial, we will introduce you to the fundamentals of data science and its various components, including data acquisition, exploratory data Continue Reading
“Data Visualization”
Real-time analytics with Azure Data Explorer
Azure Data Explorer (ADX) is a fast, reliable, and highly scalable real-time analytics platform provided by Microsoft. It’s designed to collect, analyze, and visualize massive volumes of data in real-time. This tutorial will walk you through the steps to set up a simple real-time analytics pipeline using Azure Data Explorer. Continue Reading
How to Use Pandas for Data Analysis in Python
Introduction Pandas is a powerful open-source data manipulation and analysis library for Python. It provides easy-to-use data structures and data analysis tools for handling and analyzing structured data. Pandas is built on top of NumPy, another popular library for scientific computing with Python. In this tutorial, we will learn how Continue Reading
How to Use OpenAI Microscope for Visualizing Model Activations
Introduction OpenAI Microscope is a tool developed by OpenAI to help visualize and interpret deep learning model activations. With Microscope, you can gain a deeper understanding of the inner workings of your model and identify patterns and features learned by different layers. In this tutorial, we will walk through the Continue Reading
How to Use Highcharts for Data Visualization in JavaScript
Introduction Data visualization is a powerful tool for presenting complex information in a visually appealing and easily understandable way. Highcharts is a popular JavaScript library that provides a simple and efficient way to create interactive charts and graphs. In this tutorial, we will learn how to use Highcharts to visualize Continue Reading
How to Use D3.js for Data Visualization in JavaScript
Data is an essential part of our lives, and analyzing and visualizing it can provide valuable insights. JavaScript is a popular and versatile programming language that can be used to create interactive and dynamic visualizations. D3.js is a powerful JavaScript library that allows you to create data-driven and interactive visualizations Continue Reading
Big Data Analytics with Apache Spark
Apache Spark is an open-source, distributed computing system used for big data processing and analytics. It is designed to be faster, more efficient and easy to use than its predecessors like Hadoop MapReduce. Spark allows you to process large amounts of data in-memory, thereby providing high speed analytics and machine Continue Reading
How to Use SciPy for Scientific Computing in Python
Introduction Scientific computing is an essential aspect of many scientific and engineering disciplines. It involves the use of computers and algorithms to solve complex mathematical problems, perform data analysis, and simulate real-world systems. Python is a popular language for scientific computing due to its simplicity, versatility, and an extensive ecosystem Continue Reading
Implementing Azure Stream Analytics for data streaming
Introduction: Azure Stream Analytics is a cloud-based real-time analytics service provided by Microsoft that helps to process and analyze high-speed data streams from multiple sources. It integrates with various Azure services such as Azure Event Hubs, Azure IoT Hub, and Azure Blob Storage, and allows processing of data from cloud-based Continue Reading
How to Use Plotly for Interactive Data Visualization in Python
Interactive data visualization is an important tool for analyzing and presenting data. Plotly is a powerful Python library that allows you to create interactive and customizable visualizations. In this tutorial, we will explore how to use Plotly to create interactive data visualizations in Python. Installing Plotly To get started, you Continue Reading