Testing Suite for AI Products

Artificial Intelligence / Machine Learning

Demystifying Word2Vec: Understanding Word Embeddings for Natural Language Processing

Word embeddings are a popular technique in natural language processing (NLP) that represents words or phrases as dense vectors in a continuous vector space. They capture the semantic and syntactic relationships between words, allowing machines to understand and process human language more effectively. Traditionally, NLP models represented words as one-hot
5 min read
Artificial Intelligence / Machine Learning

Revolutionizing Education:The Impact of ChatGPT in Transforming Learning Experiences

Artificial intelligence (AI) has witnessed remarkable progress in recent years, transforming various industries and significantly impacting our daily lives. One particular area where AI is making a significant difference is in education. With the emergence of ChatGPT, an advanced language model developed by OpenAI, the possibilities for enhancing the learning
4 min read
[Part I] End to End Guide for Heart Disease Prediction : Data Collection and Preprocessing
Artificial Intelligence / Machine Learning

[Part I] End to End Guide for Heart Disease Prediction : Data Collection and Preprocessing

"Structured data classification with deep learning offers groundbreaking potential for heart disease prediction. By harnessing the capabilities of neural networks, this approach can process medical data efficiently and deliver precise diagnoses, leading to improved patient care and better health outcomes." This series of five blogs will guide you through a
5 min read
[Part II] End to End Guide for heart disease prediction : Modelling
Artificial Intelligence / Machine Learning

[Part II] End to End Guide for heart disease prediction : Modelling

Introduction After data collection and data preprocessing, we have to build the model, train it, validate it and test it. In this article, we will delve into Model creation, its architecture, training, validation and testing.  The input all_features = layers.concatenate(    [         sex_encoded,         cp_encoded,         fbs_encoded,         restecg_encoded,         exang_
4 min read
Launching our Model into Production!!
Artificial Intelligence / Machine Learning

[Part IV] End to End Guide for heart disease prediction : Deployment with Flask

Introduction Model deployment is crucial as it bridges the gap between theoretical models and real-world applications. It enables practical utilisation of machine learning and AI solutions, delivering valuable outcomes to businesses and users. Efficient deployment ensures scalability, reliability, and accessibility, maximising the impact of AI technology in various domains. We
4 min read
[Part III] End to End Guide for Heart Disease Prediction : Tracking with MlFlow
Artificial Intelligence / Machine Learning

[Part III] End to End Guide for Heart Disease Prediction : Tracking with MlFlow

Introduction MLflow is an open-source platform designed to manage the machine learning models. It enables data scientists and engineers to track experiments. With components like tracking, projects, and models, MLflow allows users to organise and reproduce experiments efficiently. It supports various machine learning frameworks and cloud platforms, promoting collaboration and
5 min read
Interactive RNN Journey:                                          Navigating the World of Recurrent Neural Networks
Artificial Intelligence / Machine Learning

Interactive RNN Journey: Navigating the World of Recurrent Neural Networks

Introduction: In the world of artificial intelligence and machine learning, Recurrent Neural Networks (RNNs) have emerged as a powerful tool for processing sequential data. Whether it's natural language processing, speech recognition, time series analysis, or even music generation, RNNs have proven to be remarkably effective in capturing the temporal dependencies
3 min read