Machine learning has quickly become one of the hottest fields in computer science. It is a promising technology that can help to automate and optimize many complex and time-consuming tasks. One of the most popular methods in the field of machine learning is neural networks. Neural networks are a type Continue Reading
“Data Science”
Introduction to Machine Learning
Machine Learning has become one of the most popular fields in the industry today. It is a branch of Artificial Intelligence that focuses on creating programs that are capable of learning from data. The goal of Machine Learning is to create algorithms that can generalize patterns from the data and Continue Reading
How to use LLMs for text extraction and annotation
How to Use Language Model Libraries (LLMs) for Text Extraction and Annotation Language Model Libraries (LLMs) are powerful tools for text extraction and annotation. They leverage pre-trained language models to perform a wide range of natural language processing tasks, such as named entity recognition, part-of-speech tagging, and dependency parsing. In Continue Reading
How to Use TensorFlow.js for Image Classification
Image classification is a common task in machine learning where we train a model to classify images into different categories or labels. TensorFlow.js is a powerful library that allows us to run machine learning models directly in the browser using JavaScript. In this tutorial, we will learn how to use Continue Reading
Working with Spark for big data analytics
Apache Spark is an open-source unified analytics engine for large-scale data processing. It is designed to be fast and general-purpose, making it ideal for big data processing tasks such as data preparation, machine learning, and graph processing. In this tutorial, we will cover the basics of working with Spark for Continue Reading
Deploying a machine learning model with Azure Functions and Azure ML
Machine learning is a powerful tool that can be used to build predictive models and automate decision-making processes in a variety of applications. However, deploying these models can often be a challenging task. In this tutorial, we will explore how to deploy a machine learning model using Azure Functions and Continue Reading
How to use LLMs for text summarization and extraction
Text summarization and extraction are crucial tasks in natural language processing (NLP) and information retrieval. Language models have emerged as powerful tools for accomplishing these tasks. In this tutorial, we will explore how to use Language Model-based Methods (LLMs) for text summarization and extraction. We will cover the following topics: Continue Reading
Introduction to Azure Machine Learning
Azure Machine Learning is a cloud-based machine learning service provided by Microsoft that enables users to build, deploy, and manage machine learning models at scale. It provides a range of tools and frameworks that make it easier to create, use and manage machine learning models. This tutorial will provide an Continue Reading
How to Use Seaborn for Statistical Data Visualization in Python
Seaborn is a powerful Python library for creating visually appealing and informative statistical graphics. It is built on top of Matplotlib and provides a high-level interface for creating beautiful and complex statistical visualizations with just a few lines of code. Seaborn is particularly well-suited for exploratory analysis and data visualization Continue Reading
How to Create a Face Mask Detection App with Python and TensorFlow
In recent times, face mask detection has become crucial for maintaining public health and safety. By leveraging machine learning and computer vision techniques, we can now build face mask detection apps that can easily identify individuals wearing masks and those who aren’t. In this tutorial, we will walk through the Continue Reading