Machine Learning Archive

DEEP LEARNING

Fake News Detection With BERT

By analyzing the language used in news articles and comparing it to a database of known fake news articles, We can perform Fake news Detection using a BERT Deep Learning model. Bert can identify patterns and inconsistencies that suggest a news article may be fake.

Nora Yehia

DEEP LEARNING

Sound Properties: All You Need to Know

Sound is an essential element of our sensory experience, sound plays a pivotal role in shaping our understanding of the environment and communicating complex emotions. This exploration seeks to unravel the intricate mechanisms that govern sound waves, frequencies, amplitudes, and the astonishing versatility of sound in various mediums, offering a comprehensive guide into the science behind the the Sound Properties

Mahmoud Elzeiny

MACHINE LEARNING

Sentiment Analysis with Random Forests

Sentiment Analysis is a computational technique that involves the use of Natural Language Processing (NLP) and Machine Learning to determine the emotional tone or sentiment expressed in a piece of text, such as a review, tweet, or customer feedback. It aims to classify the sentiment as positive, negative, or neutral, providing valuable insights into public opinion and user sentiments.

Nora Yehia

DEEP LEARNING

Semi-Supervised Classification with Graph Convolutional Networks (GCNs)

Graph Convolutional Networks (GCNs) have emerged as a powerful tool, particularly well-suited for data structured as graphs. In this article, we delve into the concept of semi-supervised classification with GCNs, exploring how this innovative technique is revolutionizing the way we approach complex data classification tasks.

Hesham Ali

MACHINE LEARNING

The ultimate guide to Naive Bayes

In the vast field of machine learning and data science, Naïve Bayes is a powerful and widely used algorithm that has proven its effectiveness in various applications. Whether you're a beginner starting your journey in the realm of data analysis or an experienced practitioner looking to expand your toolkit, this comprehensive guide will walk you through the fundamentals, inner workings, and practical implementations of Naïve Bayes.

Mahmoud Elzeiny

COMPUTER VISION

Text-to-Image Generation: Unleashing the Power of DALL-E 2 and DALLE mini

The advancements made in DALL-E 2 and DALL-E mini are significant developments in the field of text-to-image generation. After reading this article you should know what DALL-E and DALL-E mini are, and how they work.

Nora Yehia

DEEP LEARNING

ChatGPT: Everything you Need to Know

GPT-3 (Generative Pretrained Transformer 3) is a state-of-the-art Large Language Model (LLM) developed by OpenAI. It has 175 billion parameters, making it one of the largest and most powerful LLMs in existence. ChatGPT has been trained on a vast amount of text data, which gives it a deep understanding of natural language and allows it to generate text that is often difficult to distinguish from text written by humans.

Hesham Ali

COMPUTER VISION

Image Generation Using Stable Diffusion

Generating new, high-quality images has become a popular topic in the field of Machine Learning. The goal is to train a model that can generate images that look similar to the training data. This is where Image Generation using Stable Diffusion comes into play

Yousef Hesham

MACHINE LEARNING

Ensemble Learning For Predictive Models

Ensemble learning for a Higher Accuracy Predictive Model is a general meta approach to machine learning that seeks better predictive performance by combining the predictions from multiple models. By the end of this post, you will have a strong base knowledge about ensemble methods and how to use them to improve your Machine Learning models.

Ahmed Raafat