machine learning

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,…

10 months ago

Distributed LLM Training & DDP, FSDP Patterns: Examples

Training large language models (LLMs) like GPT-4 requires the use of distributed computing patterns as there is a need to…

10 months ago

Transformer Architecture Types: Explained with Examples

Are you fascinated by the power of deep learning large language models that can generate creative writing, answer complex questions,…

10 months ago

Blueprint: Deploying Generative AI Applications

In this blog, we will learn about a comprehensive framework for the deployment of generative AI applications, breaking down the…

10 months ago

BERT vs GPT Models: Differences, Examples

Have you been wondering what sets apart two of the most prominent transformer-based machine learning models in the field of…

10 months ago

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…

10 months 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…

11 months 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)…

11 months 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…

11 months 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…

11 months 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…

11 months 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…

11 months 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,…

11 months 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,…

11 months 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…

11 months 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…

11 months ago