Ajitesh Kumar

Demystifying Encoder Decoder Architecture & Neural Network

In the field of AI / machine learning, the encoder-decoder architecture is a widely-used framework for developing neural networks that…

2 years ago

Attention Mechanism Workflow & Transformer: Examples

The attention mechanism workflow in the context of transformers in NLP, is a process that enables the model to dynamically…

2 years ago

ChatGPT Prompts Best Practices: Examples

In this blog, you will learn the best practices you can adopt when writing prompts for ChatGPT. Here is the…

2 years ago

NLP: Different Types of Language Models – Examples

Have you ever wondered how your smartphone seems to know exactly what you're going to type next? Or how virtual…

2 years ago

Bag of Words in NLP & Machine Learning: Examples

Last updated: 6th Jan, 2024 Most machine learning algorithms require numerical input for training the models. Bag of words (BoW)…

2 years ago

Innovative Thinking: Methods & Examples

Innovative thinking is a multifaceted approach that leverages different styles of thinking to tackle problems and generate groundbreaking solutions. It…

2 years ago

Natural Language Processing (NLP) Task Examples

Last updated: 5th Jan, 2024 Have you ever wondered how your phone's voice assistant understands your commands and responds appropriately?…

2 years ago

Cohen Kappa Score Explained: Formula, Example

Last updated: 5th Jan, 2024 Cohen's Kappa Score is a statistic used to measure the performance of machine learning classification…

2 years ago

Validation Techniques for Machine Learning Models: Examples

Last updated: 4th Jan, 2024 In the realm of machine learning, the emphasis increasingly shifts towards solving real-world problems with…

2 years ago

Machine Learning Definition, Examples, Method, Types

Last updated: 3rd Jan, 2024 Machine learning is a machine's ability to learn from data. It has been around for…

2 years ago

Machine Learning Models Solution Design: Examples

This blog is crafted for data scientists, machine learning (ML) and software engineers, business analysts / product managers, and anyone…

2 years ago

Micro-average, Macro-average, Weighting: Precision, Recall, F1-Score

Last updated: 30th Dec, 2023 In this post, you will learn about how to use micro-averaging and macro-averaging methods for evaluating scoring metrics (precision,…

2 years ago

Mean Squared Error or R-Squared – Which one to use?

Last updated: 29th Dec, 2023 As you embark on your journey to understand and evaluate the performance of regression models,…

2 years ago

Data Science Competitions on Different Online Platforms

Data science / Machine Learning is an ever-evolving field, and competitions provide a great way for beginners / practitioners to…

2 years ago

Mastering Data Quality KPI Dashboards: Concepts, Examples

In the digital age, where data is often likened to the new oil, ensuring its quality is not just an…

2 years ago

Large Language Models (LLMs) & Semantic Search: Examples

Have you ever marveled at how typing a few words into a search engine yields exactly the information you're looking…

2 years ago