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Tag: activation function

MLOps for Natural Language Processing (NLP)

Introduction The artificial intelligence of Natural Language Processing (NLP) is concerned with how computers and people communicate in everyday language. In light of the deployment...

Campus Recruitment: A Classification Problem with Logistic Regression

Introduction In this project, we will be focusing on data from India. And our goal is to create a predictive model, such as Logistic Regression, etc....

Solving Spotify Multiclass Genre Classification Problem

Introduction The music industry has become more popular, and how people listen to music is changing like wildfire. The development of music streaming services has...

Exploring the intricacies of deep learning models

Deep learning models have emerged as a powerful tool in the field of ML, enabling computers to learn from vast amounts of data and...

Beginner’s Guide to Machine Learning and Deep Learning in 2023

Table of contents Introduction Learning is the acquisition and mastery of knowledge over a domain through experience. It is not only a...

Why is Sigmoid Function Important in Artificial Neural Networks?

The sigmoid function is a fundamental component of artificial neural networks and is crucial in many machine-learning applications. This blog post will dive deep...

Top 100 Data Science Interview Questions

Introduction Data science is a rapidly growing field that is changing the way organizations understand and make decisions based on their data. As a result,...

A Guide to Train an Image Classification Model Using Tensorflow

Humans learn to identify and label visuals at a very early age. Now, computers are able to classify images at scale and with very...

Build Accurate Job Resume Matching Algorithm using Doc2Vec

Introduction to the Problem Hiring is one of the most challenging market segments to capture due to multiple reasons. One of the challenges faced during...

Getting Started with PyTorch Lightning

Image by Editor PyTorch Lightning is a powerful deep learning framework that supports scalable state-of-the-art AI research work. It keeps your code structured for...

Top 5 Interview Questions on Autoencoders

This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Autoencoders are an unsupervised model that takes unlabeled data and learns effective...

Analyzing and Comparing Deep Learning Models

This article was published as a part of the Data Science Blogathon. Deep Learning is a subset of Machine Learning. Deep Learning is established on...

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