The Art and Science of Prompt Engineering Introduction Prompt engineering is essentially the art of crafting instructions for AI models, particularly large language models (LLMs). And Prompt Engineering evolves around the concept of discoveri... Tips & Tricks
Embedding Ethics in AI Implementations Introduction As artificial intelligence (AI) weaves its way into every corner of our lives, from self-driving cars to personalized playlists, its immense power raises a critical question: how do we en... Discussion
Filling in the Blanks: Missing Value Treatment in ML Introduction Missing values are a common issue in real-world datasets, and handling them appropriately is crucial for accurate and reliable machine learning models. In this blog, we will explore vario... Deep Dive
Minority Report: Imbalance in Machine Learning Introduction In the bustling ecosystem of machine learning applications, classification tasks unequivocally hold a prominent role across various industry verticals. From detecting fraudulent transacti... Deep Dive
Comparing Machine Learning Classification Algorithms Introduction In today's data-driven world, the ability to extract valuable insights and make informed decisions from large amounts of data is of paramount importance. Machine learning, a powerful subs... Deep Dive
Exploring Linear Regression and its Applications in Machine Learning Introduction Machine learning has become an integral part of various industries by allowing computers to learn from data and make predictions or decisions without explicit programming. Linear regressi... Deep Dive
Simplifying Customer Churn Prediction with Amazon SageMaker Canvas Use Case The Churn Customer dataset used for this analysis is a publicly available dataset obtained from Kaggle Churn Modelling . It encompasses comprehensive information about the customers of a bank... Tips & Tricks
From Data to Predictions: Simplifying ML with AWS SageMaker Autopilot In the era of modern technology, machine learning has become an integral part of various industries. To cater to the growing demand for automated machine learning (AutoML) solutions, AWS introduces AW... Tips & Tricks
Accelerate Your ML Projects with AWS SageMaker JumpStart: Pretrained Models at Your Fingertips AWS SageMaker JumpStart offers ready-to-use solutions for various machine learning use cases, allowing users to quickly get started with machine learning. The platform provides pretrained, open-source... Tips & Tricks
From Chaos to Clarity: Simplifying ML Data Preparation with AWS Sagemaker Data Wrangler Introduction To create a more reliable machine learning model, it is crucial to have substantial quantities of high-quality data. However, it is common for data to be flawed, containing missing inform... Tips & Tricks
Tools and Architecture of Neural Search In my previous blog post, I discussed the potential of utilizing vectorization to achieve a semantic search, as well as the ability to establish a contextual framework with these vectors. Now, let's d... Deep Dive
Zero to Hero with Neural Search Introduction The world of search has been rapidly evolving with the introduction of new technologies. In today's data-driven world, the ability to efficiently search through vast amounts of informatio... Deep Dive