Data Science

Cross Entropy Loss Explained with Python Examples

Last updated: 1st May, 2024 In this post, you will learn the concepts related to the cross-entropy loss function along…

12 months 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…

12 months 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 year 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…

1 year 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…

1 year 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…

1 year 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…

1 year 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…

1 year 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,…

1 year ago

NLP Corpus Types (Text & Multimodal): Examples

At the heart of NLP lies a fundamental element: the corpus. A corpus, in NLP, is not just a collection…

1 year ago