How to Become a Prompt Engineer in 2024

In this article, we will explore the role of prompt engineers in the field of AI technology. Prompt engineers play a crucial role in enabling AI models to generate relevant output based on user input. We will discuss the basics of prompt engineering, its importance, and the steps and skills required to become a proficient…

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Day 4: Exploring the Fundamentals of Artificial Neural Networks

Artificial neural networks (ANN) have revolutionized the field of artificial intelligence, enabling computers to perform complex tasks such as image recognition, natural language processing, and speech synthesis. ANNs are designed to mimic the structure and function of the human brain, allowing machines to learn from data and make intelligent decisions. In this article, we will…

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Day 2: 14 Types of Neural Networks and their Applications

1 – Introduction to Neural Networks Artificial intelligence has changed drastically because of neural networks, which are now an important part of various applications. They can be used to solve complex problems and make predictions by mimicking the structure and functioning of the human brain. So, in this article, we will talk about different types…

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Day 1: Introduction to Deep Learning: Understanding the Basics

Welcome to this Deep Learning Course! Today is the beginning of our course and in this first article we will be talking about basics of Deep Learning. So, Let’s get started. Deep learning, is a subfield of machine learning that focuses on algorithms inspired by the structure of the human brain called which is an…

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Top 5 Natural Language Processing Libraries for Data Scientist

In this blog post we are going to talk about Natural Language Processing (NLP) which is one of the branches of machine learning which focuses on teaching machines to understand human language. it has multiple applications, from chatbots to sentiment analysis, and is an important skill in the data scientist’s toolbox. let’s look at five…

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10 Essential Python Libraries for Data Science in 2023

Data Science is a constantly evolving field, and with freshly technologies emerging, it’s important to keep up with the latest tools and libraries. In this article, we’ll discuss 10 essential Python libraries that all data scientist should know in 2023. These libraries will serve you to analyze, visualize, and model data more efficiently, and ultimately…

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Day 8: Text Classification with Naïve Bayes

Text Classification is a popular technique used in Natural Language Processing to categorize text documents into predefined categories. Naïve Bayes is a commonly used algorithm for text classification, as it is simple and efficient. In this blog post, we will look at the process of building a Text Classification model using Naïve Bayes, step-by-step. We…

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Day 7: Building a Sentiment Analysis Model

In today’s world, where social media is the new norm, analyzing the sentiment behind the text has become important for businesses and organizations. Sentiment analysis refers to the process of determining the emotional tone behind a piece of text, whether it is positive, negative, or neutral. In this article, we will discuss how to build…

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Day 6: Word Embeddings: an overview

Word embeddings are a powerful technique in natural language processing which can help us represent words in a more meaningful way than other approaches like one-hot encoding or bag of words. In this blog post, we’ll provide an overview of what word embeddings are, how they work, their advantages and limitations, popular models for generating…

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Day 5: Part-of-Speech Tagging and Named Entity Recognition

Welcome back peeps as we have already discussed about the tokenization and stop words in our last article so, in this day 5 of Natural Language Processing (NLP) journey! In this blog we will be exploring two important techniques for analyzing text: Part-of-Speech (POS) tagging Named Entity Recognition (NER) 1 – Part-of-Speech (POS) tagging is…

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