Data Science

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…

1 day 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…

2 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…

5 days ago

Loss Function vs Cost Function vs Objective Function: Examples

Last updated: 19th April, 2024 Among the terminologies used in training machine learning models, the concepts of loss function, cost…

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…

2 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…

3 weeks ago

Large Language Models (LLMs): Types, Examples

Last updated: 31st Jan, 2024 Large language models (LLMs), being the key pillar of generative AI, have been gaining traction in…

3 months 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

How is ChatGPT Trained to Generate Desired Responses?

Last updated: 27th Jan, 2024 Training an AI / Machine Learning model as sophisticated as the one used by ChatGPT…

3 months ago