Machine Learning

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…

10 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…

10 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…

10 months ago

Self-Prediction vs Contrastive Learning: Examples

In the dynamic realm of AI, where labeled data is often scarce and costly, self-supervised learning helps unlock new machine…

11 months 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…

11 months 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…

11 months ago

NLP Tokenization in Machine Learning: Python Examples

Last updated: 1st Feb, 2024 Tokenization is a fundamental step in Natural Language Processing (NLP) where text is broken down…

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

LLM Optimization for Inference – Techniques, Examples

One of the common challenges faced with the deployment of large language models (LLMs) while achieving low-latency completions (inferences) is…

1 year ago