Ajitesh Kumar

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…

8 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…

8 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…

8 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…

8 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

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…

9 months ago

6 Game-Changing Features of ChatGPT’s Latest Upgrade

OpenAI has once again set the tech world abuzz with its latest enhancement to ChatGPT, making it a lot easier…

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…

9 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…

9 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…

9 months ago

OKRs vs KPIs vs KRAs: Differences and Examples

Last updated: 21st Feb, 2024 The difference between OKRs , KPIs, and KRAs is often confused, but the concept is a…

11 months ago

CEP vs Traditional Database Examples

In this blog, we will learn about the differences between complex event processing (CEP) and traditional database querying with the…

11 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…

11 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…

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…

11 months 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…

11 months ago