MITB For All
To compile knowledge acquired by our alumni, and reach out across the world.
MLE vs. MAP — worked example
MLE vs. MAP — worked example
Maximum Likelihood Estimate (MLE) and Maximum A Posterior (MAP)
Agent-to-Agent protocols: A story still being written!
Agent-to-Agent protocols: A story still being written!
Exploring the A2A journey: from deploying agents to tackling unsolved challenges in generative AI. The story is just beginning!
Model Context Protocol — Hype or necessity?
Model Context Protocol — Hype or necessity?
MCPs are the protocol powering the next-gen AI app revolution. Here’s how
Talking Data — Using Automatic Speech Recognition to Power Language Models
Talking Data — Using Automatic Speech Recognition to Power Language Models
In today’s digital age, audio content is rapidly gaining popularity across platforms such as Instagram Reels, TikTok, YouTube, and…
How I became a data scientist
How I became a data scientist
TLDR: I swore I‘d never code. Guess what I do now?
Ensemble Segmentation in Medical Imaging: Getting a Second Opinion.
Ensemble Segmentation in Medical Imaging: Getting a Second Opinion.
Medical image segmentation is essential for modern diagnostics and treatment planning. But even the best single deep-learning model can…
Flash Flooded Skyline
Flash Flooded Skyline
Imagine that you are in a world where the cities are made up of buildings lined up in a single file next to one another without any gaps…
3 Data Science Projects That Boosted My Career: Practical Insights for Aspiring Data Analysts
3 Data Science Projects That Boosted My Career: Practical Insights for Aspiring Data Analysts
What Makes a Successful Data Analyst?
Optimal packing problem — Code with explanation
Optimal packing problem — Code with explanation
Maximum number of circles that can be packed into a rectangle
CrewAI — Part 4 of LLM Multi-Agents series
CrewAI — Part 4 of LLM Multi-Agents series
Learn CrewAI by building a project to revolutionize job search with multi-agent orchestration, while comparing it to its competitors.
Data Analyst Intern at DBS Bank
Data Analyst Intern at DBS Bank
Unlocking Insights: A Journey into Data Analyst Internships
Motivation and Method to Migrate from OpenAI models to Snowflake-hosted models
Motivation and Method to Migrate from OpenAI models to Snowflake-hosted models
Background
Feature Extraction from Website Text for Profiling of Business Landscape — An NLP-Based Approach.
Feature Extraction from Website Text for Profiling of Business Landscape — An NLP-Based Approach.
How do we define the future prospect of a growing business ? Will this business continue to innovate & thrive? Are they generating revenue…
Mid-Career Switch from Education to Data Science? A True Singapore Experience.
Mid-Career Switch from Education to Data Science? A True Singapore Experience.
Tough times don’t last, Tough people do.. Cliche, but 88% true.
Winning The Casino — RL Training Walkthrough
Winning The Casino — RL Training Walkthrough
Sharing things never taught in textbooks
Prioritising Process Management First — Key to Operating Model Success
Prioritising Process Management First — Key to Operating Model Success
One of the main challenges faced by companies today is to design a target operating model that not only effective for current operations…
How to Install CUDA and PyTorch for Windows 11
How to Install CUDA and PyTorch for Windows 11
Want to do GPU programming on your Windows 11 machine? You need to install CUDA with PyTorch. Let me show you how.
Deploying LlamaIndex — Part 3b of LLM Multi-Agents series
Deploying LlamaIndex — Part 3b of LLM Multi-Agents series
Continuing our exploration of LlamaIndex workflows, this article covers human-in-the-loop functionality and deploying them scalably
LlamaIndex Workflows — Part 3a of LLM Multi-Agents series
LlamaIndex Workflows — Part 3a of LLM Multi-Agents series
Discover how LlamaIndex’s event-driven workflows enable seamless multi-agent LLM orchestration and build powerful systems with ease!
RL Agent with advantage against dealer using card counting
RL Agent with advantage against dealer using card counting
Code showing random environment with TC+2 and training process
