{"id":1561,"date":"2026-05-01T06:43:10","date_gmt":"2026-05-01T01:13:10","guid":{"rendered":"https:\/\/www.techandtrain.com\/blog\/?p=1561"},"modified":"2026-05-01T06:44:49","modified_gmt":"2026-05-01T01:14:49","slug":"%f0%9f%9a%95-from-traffic-prediction-to-decision-intelligence-a-graph-ml-story","status":"publish","type":"post","link":"https:\/\/www.techandtrain.com\/blog\/2026\/05\/%f0%9f%9a%95-from-traffic-prediction-to-decision-intelligence-a-graph-ml-story\/","title":{"rendered":"\ud83d\ude95 From Traffic Prediction to Decision Intelligence \u2014 A Graph ML Story"},"content":{"rendered":"\n<p id=\"ember72\" class=\"\">Below are insights from my open book assignment \/ exam at <a href=\"https:\/\/sites.iitgn.ac.in\/iitgnx\/\">IIT GNX<\/a> converted into a blog-based story with help on AI\/GenAI. This was the most exciting open book assignment \/ exam given by me till now. Open to comments, suggestions, ideas, debates, improvements, corrections, reviews, etc. Feel free to email me (refer contact detail in the bottom of this article) or message me on LinkedIn.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember73\">\ud83d\udccc The Real Question Isn\u2019t Prediction \u2014 It\u2019s Decision<\/h3>\n\n\n\n<p id=\"ember74\" class=\"\">Most data science projects stop at:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\">\u201cModel accuracy improved.\u201d<\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember76\" class=\"\">But in real systems\u2014especially <strong>ride-hailing, logistics, BFSI, or infra platforms<\/strong>\u2014that\u2019s not enough.<\/p>\n\n\n\n<p id=\"ember77\" class=\"\">The real question is:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>What decision becomes better because of this model?<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember79\" class=\"\">This assignment pushed me to think differently.<\/p>\n\n\n\n<p id=\"ember80\" class=\"\">Instead of just predicting traffic, I asked:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>How can traffic forecasts drive real operational decisions in a ride-hailing system?<\/strong><\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember82\">\ud83e\udde0 Problem Framing (What Actually Matters)<\/h3>\n\n\n\n<p id=\"ember83\" class=\"\">We used the <strong>METR-LA dataset<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">207 traffic sensors<\/li>\n\n\n\n<li class=\"\">5-minute interval readings<\/li>\n\n\n\n<li class=\"\">~4 months of data<\/li>\n\n\n\n<li class=\"\">Objective: predict traffic speeds <strong>5, 15, 30 minutes ahead<\/strong><\/li>\n<\/ul>\n\n\n\n<p id=\"ember85\" class=\"\">But here\u2019s the twist:<\/p>\n\n\n\n<p id=\"ember86\" class=\"\">\ud83d\udc49 Each sensor is <strong>not independent<\/strong> \ud83d\udc49 Roads are <strong>connected systems<\/strong> \ud83d\udc49 Congestion <strong>spreads like a graph<\/strong><\/p>\n\n\n\n<p id=\"ember87\" class=\"\">So instead of treating data as rows in a table\u2026<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\">We treat it as a <strong>graph system<\/strong><\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember89\">\ud83c\udf10 Thinking in Graphs (Systems Thinking)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\"><strong>Nodes \u2192 Traffic sensors<\/strong><\/li>\n\n\n\n<li class=\"\"><strong>Edges \u2192 Road proximity \/ connectivity<\/strong><\/li>\n\n\n\n<li class=\"\"><strong>Signals \u2192 Speed over time<\/strong><\/li>\n<\/ul>\n\n\n\n<p id=\"ember91\" class=\"\">This is where <strong>complex systems + spatial thinking<\/strong> come into play.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\">Traffic \u2260 isolated events Traffic = <strong>propagating behavior across a network<\/strong><\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember93\">\ud83d\udcca What the Data Told Us<\/h3>\n\n\n\n<p id=\"ember94\" class=\"\">From exploratory analysis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Congestion appears in <strong>clusters (not random points)<\/strong><\/li>\n\n\n\n<li class=\"\">Patterns repeat during <strong>commute peaks<\/strong><\/li>\n\n\n\n<li class=\"\">Slowdowns are both: <strong>Temporal (time-based)<\/strong> <strong>Spatial (location-based)<\/strong><\/li>\n<\/ul>\n\n\n\n<p id=\"ember96\" class=\"\">\ud83d\udc49 This is critical insight for operations:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Time tells you <strong>when to act<\/strong><\/li>\n\n\n\n<li class=\"\">Space tells you <strong>where to act<\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember98\">\ud83e\udd16 Models We Tested (Keep It Honest)<\/h3>\n\n\n\n<p id=\"ember99\" class=\"\">To make this real (not overhyped), we compared:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember100\">1. Persistence Model<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">\u201cTomorrow \u2248 Today\u201d<\/li>\n\n\n\n<li class=\"\">Surprisingly strong for <strong>5-minute prediction<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember102\">2. Random Forest<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Uses past lag features<\/li>\n\n\n\n<li class=\"\">Captures <strong>non-linear temporal patterns<\/strong><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember104\">3. Graph ML Model (GConvGRU)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Combines: Graph Convolution \u2192 spatial relationships GRU \u2192 temporal dynamics<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember106\">\ud83d\udcc8 Results (Where Graph ML Actually Matters)<\/h3>\n\n\n\n<p id=\"ember107\" class=\"\">From the results:<\/p>\n\n\n\n<p id=\"ember108\" class=\"\">Horizon Best Insight (Labels)<\/p>\n\n\n\n<p id=\"ember109\" class=\"\">5 min Simple models work well<\/p>\n\n\n\n<p id=\"ember110\" class=\"\">15 min Graph ML starts winning<\/p>\n\n\n\n<p id=\"ember111\" class=\"\">30 min Graph ML clearly better<\/p>\n\n\n\n<p id=\"ember112\" class=\"\">\ud83d\udc49 Why?<\/p>\n\n\n\n<p id=\"ember113\" class=\"\">Because:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>Short-term = inertia<\/strong> <strong>Medium-term = propagation<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember115\" class=\"\">Graph models capture <strong>how congestion spreads<\/strong>, not just how it exists.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember116\">\ud83d\ude95 Turning Predictions into Decisions<\/h3>\n\n\n\n<p id=\"ember117\" class=\"\">This is where the project becomes <em>real<\/em>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember118\">\ud83d\udd34 If congestion is predicted in next 15\u201330 mins:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Reduce driver inflow into that corridor<\/li>\n\n\n\n<li class=\"\">Increase ETA buffers<\/li>\n\n\n\n<li class=\"\">Trigger incentives in nearby zones<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember120\">\ud83d\udfe2 What this enables:<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Better ETA reliability<\/li>\n\n\n\n<li class=\"\">Smarter driver utilization<\/li>\n\n\n\n<li class=\"\">Reduced customer wait time<\/li>\n\n\n\n<li class=\"\">Proactive\u2014not reactive\u2014operations<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember122\">\ud83e\udde9 The Big Shift: Model \u2192 Decision System<\/h3>\n\n\n\n<p id=\"ember123\" class=\"\">This project is NOT just:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\">\u201cTrain model \u2192 predict \u2192 done\u201d<\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember125\" class=\"\">It is:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>EDA \u2192 Model \u2192 Evaluation \u2192 Business Rules \u2192 Decision Intelligence<\/strong><\/p>\n<\/blockquote>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\">The work is framed as a <strong>decision-intelligence exercise<\/strong> rather than only model-building<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember129\">\u26a0\ufe0f Reality Check (Limitations)<\/h3>\n\n\n\n<p id=\"ember130\" class=\"\">Let\u2019s stay grounded.<\/p>\n\n\n\n<p id=\"ember131\" class=\"\">The dataset <strong>does NOT include<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Ride demand<\/li>\n\n\n\n<li class=\"\">Driver availability<\/li>\n\n\n\n<li class=\"\">Weather<\/li>\n\n\n\n<li class=\"\">Events<\/li>\n\n\n\n<li class=\"\">Airport queues<\/li>\n<\/ul>\n\n\n\n<p id=\"ember133\" class=\"\">So:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\">This is <strong>traffic intelligence<\/strong>, not full business optimization<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember135\">\ud83d\udd27 What I Learned (Real Engineering Insights)<\/h3>\n\n\n\n<p id=\"ember136\" class=\"\">From my own notes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Training time is real (hours, not minutes)<\/li>\n\n\n\n<li class=\"\">GPU\/TPU selection matters<\/li>\n\n\n\n<li class=\"\">Early stopping is critical (overfitting is silent killer)<\/li>\n\n\n\n<li class=\"\">Graph ML pipelines are <strong>non-trivial systems<\/strong><\/li>\n\n\n\n<li class=\"\">LLMs can accelerate development\u2014but thinking is still yours<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember138\">\ud83c\udfd7\ufe0f Architecture Thinking (My Take)<\/h3>\n\n\n\n<p id=\"ember139\" class=\"\">What excites me most is not the model.<\/p>\n\n\n\n<p id=\"ember140\" class=\"\">It\u2019s the <strong>system design potential<\/strong>:<\/p>\n\n\n\n<p id=\"ember141\" class=\"\">Imagine combining this with:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Real-time driver GPS<\/li>\n\n\n\n<li class=\"\">Demand prediction models<\/li>\n\n\n\n<li class=\"\">Event\/weather APIs<\/li>\n\n\n\n<li class=\"\">Reinforcement learning for dispatch<\/li>\n<\/ul>\n\n\n\n<p id=\"ember143\" class=\"\">\ud83d\udc49 You get:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>Autonomous Decision Systems for Urban Mobility<\/strong><\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember145\">\ud83d\udd2e Where This Connects to My Larger Work<\/h3>\n\n\n\n<p id=\"ember146\" class=\"\">This directly aligns with what I\u2019m exploring:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>Agentic AI + Graph Systems + Probabilistic Models for Autonomous Debugging &amp; Decision Systems<\/strong><\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember148\" class=\"\">Traffic is just one domain.<\/p>\n\n\n\n<p id=\"ember149\" class=\"\">Same thinking applies to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Microservices failures<\/li>\n\n\n\n<li class=\"\">Network congestion<\/li>\n\n\n\n<li class=\"\">Financial risk propagation<\/li>\n\n\n\n<li class=\"\">Supply chain disruptions<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember151\">\ud83e\udde0 Final Thought<\/h3>\n\n\n\n<p id=\"ember152\" class=\"\">A staff engineer once asked:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><em>\u201cWhat gets harder after this lands?\u201d<\/em><\/p>\n<\/blockquote>\n\n\n\n<p id=\"ember154\" class=\"\">For me, this project answered a deeper question:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"\"><strong>What gets smarter after this lands?<\/strong><\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ember156\">\ud83d\udccc Bottom Line<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Graph ML is not just \u201cbetter ML\u201d<\/li>\n\n\n\n<li class=\"\">It is <strong>better system understanding<\/strong><\/li>\n\n\n\n<li class=\"\">Real value comes when: Predictions \u2192 Decisions Models \u2192 Actions Data \u2192 Intelligence<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p id=\"ember158\" class=\"\">\ud83d\udce2 Stay informed:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Website: <a href=\"http:\/\/www.harwanisystems.in\/\"><strong>www.HarwaniSystems.in<\/strong><\/a><\/li>\n\n\n\n<li class=\"\">Blog: <a href=\"http:\/\/www.techandtrain.com\/blog\"><strong>www.TechAndTrain.com\/blog<\/strong><\/a><\/li>\n\n\n\n<li class=\"\">LinkedIn: <a href=\"https:\/\/www.linkedin.com\/in\/neil27\/\"><strong>Neil Harwani | LinkedIn<\/strong><\/a><\/li>\n\n\n\n<li class=\"\">Email me: <a href=\"mailto:Neil@HarwaniSytems.in\"><strong>Neil@HarwaniSytems.in<\/strong><\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p id=\"ember160\" class=\"\">#GraphML #DataScience #AI #SpatialDataScience #RideHailing #DecisionIntelligence #SystemsThinking #GNN #MachineLearning #TechLeadership<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Below are insights from my open book assignment \/ exam at IIT GNX converted into a blog-based story with help [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":1562,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[144,271,480],"tags":[296,447,482,485,459,451,484,483,461,468],"class_list":["post-1561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aiml","category-generative-ai","category-graphml","tag-ai","tag-datascience","tag-decisionintelligence","tag-gnn","tag-graphml","tag-machinelearning","tag-ridehailing","tag-spatialdatascience","tag-systemsthinking","tag-techleadership"],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/05\/Graphs.jpg?fit=853%2C682&ssl=1","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p7do02-pb","jetpack-related-posts":[{"id":1558,"url":"https:\/\/www.techandtrain.com\/blog\/2026\/04\/learnings-from-assignments-open-book-exams-at-indian-institute-of-technology-gandhinagar-executive-masters-in-data-science-for-decision-making\/","url_meta":{"origin":1561,"position":0},"title":"Learnings from assignments \/ open book exams at Indian Institute of Technology Gandhinagar &#8211; Executive Masters in Data Science for Decision Making","author":"Neil Harwani","date":"April 30, 2026","format":false,"excerpt":"One important lesson I learned while working with spatio-temporal graph data on the METR-LA dataset during my Executive Masters open-book assignment: Do not keep switching between Claude, ChatGPT, Perplexity, Gemini, and other LLMs or AI tools during the execution stage. This lesson has repeated itself in the two years throughout\u2026","rel":"","context":"In &quot;Machine Learning&quot;","block_context":{"text":"Machine Learning","link":"https:\/\/www.techandtrain.com\/blog\/category\/machine-learning\/"},"img":{"alt_text":"Image credit: www.Pixabay.com","src":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/Focus.png?fit=853%2C574&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/Focus.png?fit=853%2C574&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/Focus.png?fit=853%2C574&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/Focus.png?fit=853%2C574&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":1216,"url":"https:\/\/www.techandtrain.com\/blog\/2024\/02\/notes-on-explainability-interpretability-in-machine-learning-chatgpt-bard-generated\/","url_meta":{"origin":1561,"position":1},"title":"Notes on explainability &amp; interpretability in Machine Learning &#8211; ChatGPT &amp; BARD generated","author":"Neil Harwani","date":"February 4, 2024","format":false,"excerpt":"Explainability and interpretability in neural networks are crucial for understanding how these models make decisions, especially in critical applications like healthcare, finance, and autonomous vehicles. Several software tools and libraries have been developed to aid in this process, providing insights into the inner workings of complex models. Here are some\u2026","rel":"","context":"In &quot;AIML&quot;","block_context":{"text":"AIML","link":"https:\/\/www.techandtrain.com\/blog\/category\/aiml\/"},"img":{"alt_text":"Credits: www.Pixabay.com","src":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/02\/NN.png?fit=1069%2C1200&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/02\/NN.png?fit=1069%2C1200&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/02\/NN.png?fit=1069%2C1200&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/02\/NN.png?fit=1069%2C1200&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/02\/NN.png?fit=1069%2C1200&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":557,"url":"https:\/\/www.techandtrain.com\/blog\/2020\/02\/what-are-we-doing-in-ai-ml-data-science-decision-science-analytics-world-glossary\/","url_meta":{"origin":1561,"position":2},"title":"What are we doing in AI \/ ML \/ Data Science \/ Decision Science \/ Analytics World? &#8211; Glossary","author":"Neil Harwani","date":"February 17, 2020","format":false,"excerpt":"Over the last few years I have explored, programmed, worked in, researched and taught Data Science \/ AI \/ ML \/ Analytics \/ Decision Science to multiple students and with many software professionals. I have collected many keywords that you can google and explore. This will help you to keep\u2026","rel":"","context":"In &quot;Analytics&quot;","block_context":{"text":"Analytics","link":"https:\/\/www.techandtrain.com\/blog\/category\/analytics\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Mathematics.jpg?fit=960%2C490&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Mathematics.jpg?fit=960%2C490&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Mathematics.jpg?fit=960%2C490&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Mathematics.jpg?fit=960%2C490&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":1532,"url":"https:\/\/www.techandtrain.com\/blog\/2026\/04\/keywords-notes-from-executive-masters-in-data-science-for-decision-making-at-iit-gandhinagar-part-1-assisted-by-chatgpt\/","url_meta":{"origin":1561,"position":3},"title":"Keywords &amp; Notes from Executive Masters in Data Science for Decision Making at IIT Gandhinagar &#8211; Part 1 &#8211; Assisted by ChatGPT","author":"Neil Harwani","date":"April 11, 2026","format":false,"excerpt":"Here are 20 high-quality keywords for each category, structured for learning, research, and practical application: 1. 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Came across during talking to ChatGPT and Gemini, very good ideas - some are inbuilt, some need customizations. 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