machine learning

Feature Engineering in Machine Learning: Python Examples

Last updated: 3rd May, 2024 Have you ever wondered why some machine learning models perform exceptionally well while others don't?…

9 months ago

Feature Selection vs Feature Extraction: Machine Learning

Last updated: 2nd May, 2024 The success of machine learning models often depends on the quality of the features used…

9 months ago

Model Selection by Evaluating Bias & Variance: Example

When working on a machine learning project, one of the key challenges faced by data scientists/machine learning engineers is to…

9 months ago

Bias-Variance Trade-off in Machine Learning: Examples

Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning that presents a challenging dilemma…

9 months ago

Mean Squared Error vs Cross Entropy Loss Function

Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost functions is critical for building…

9 months ago

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…

9 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…

9 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…

10 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…

10 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…

10 months ago

Retrieval Augmented Generation (RAG) & LLM: Examples

Last updated: 26th Jan, 2024 Have you ever wondered how to seamlessly integrate the vast knowledge of Large Language Models…

12 months ago

Attention Mechanism in Transformers: Examples

Last updated: 1st Feb, 2024 The attention mechanism allows the model to focus on relevant words or phrases when performing…

12 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…

12 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…

12 months 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…

12 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…

12 months ago