Data Science

Mean Squared Error vs Cross Entropy Loss Function

Last updated: 28th April, 2024 As a data scientist, understanding the nuances of various cost functions is critical for building…

1 day ago

Cross Entropy Loss Explained with Python Examples

Last updated: 28th April, 2024 In this post, you will learn the concepts related to the cross-entropy loss function along…

1 day ago

Logistic Regression in Machine Learning: Python Example

Last updated: 26th April, 2024 In this blog post, we will discuss the logistic regression machine learning algorithm with a…

3 days ago

MSE vs RMSE vs MAE vs MAPE vs R-Squared: When to Use?

Last updated: 22nd April, 2024 As data scientists, we navigate a sea of metrics to evaluate the performance of our…

4 days ago

Gradient Descent in Machine Learning: Python Examples

Last updated: 22nd April, 2024 This post will teach you about the gradient descent algorithm and its importance in training…

1 week ago

Model Complexity & Overfitting in Machine Learning: How to Reduce

Last updated: 4th April, 2024 In machine learning, model complexity, and overfitting are related in that the model overfitting is…

3 weeks ago

Free IBM Data Sciences Courses on Coursera

In the rapidly evolving fields of Data Science and Artificial Intelligence, staying ahead means continually learning and adapting. In this…

3 weeks ago

Self-Supervised Learning vs Transfer Learning: Examples

Last updated: 3rd March, 2024 Understanding the difference between self-supervised learning and transfer learning, along with their practical applications, is…

4 weeks ago

Amazon (AWS) Machine Learning / AI Services List

Last updated: 30th Jan, 2024 Amazon Web Services (AWS) is a cloud computing platform that offers machine learning as one…

3 months ago

Machine Learning Lifecycle Example: From Data to Deployment

Last updated: 27th Jan 2024 In this blog, we get an overview of the machine learning lifecycle, from initial data…

3 months ago

Generalization Errors in Machine Learning: Python Examples

Last updated: 21st Jan, 2024 Machine Learning (ML) models are designed to make predictions or decisions based on data. However,…

3 months ago

Demystifying Encoder Decoder Architecture & Neural Network

In the field of AI / machine learning, the encoder-decoder architecture is a widely-used framework for developing neural networks that…

4 months ago

Bag of Words in NLP & Machine Learning: Examples

Last updated: 6th Jan, 2024 Most machine learning algorithms require numerical input for training the models. Bag of words (BoW)…

4 months ago

Natural Language Processing (NLP) Task Examples

Last updated: 5th Jan, 2024 Have you ever wondered how your phone's voice assistant understands your commands and responds appropriately?…

4 months ago

Cohen Kappa Score Explained: Formula, Example

Last updated: 5th Jan, 2024 Cohen's Kappa Score is a statistic used to measure the performance of machine learning classification…

4 months ago

Validation Techniques for Machine Learning Models: Examples

Last updated: 4th Jan, 2024 In the realm of machine learning, the emphasis increasingly shifts towards solving real-world problems with…

4 months ago