{"id":611,"date":"2020-06-24T16:18:36","date_gmt":"2020-06-24T10:48:36","guid":{"rendered":"https:\/\/www.techandtrain.com\/blog\/?p=611"},"modified":"2025-10-22T14:54:59","modified_gmt":"2025-10-22T09:24:59","slug":"building-data-models-that-everyone-can-understand-and-more-importantly-believe","status":"publish","type":"post","link":"https:\/\/www.techandtrain.com\/blog\/2020\/06\/building-data-models-that-everyone-can-understand-and-more-importantly-believe\/","title":{"rendered":"Building data models that everyone can understand and more importantly believe"},"content":{"rendered":"\n<p>Building data models that everyone can understand and more importantly believe. Faculty Article &#8211; Author: Mr. Balakrishnan Unny &amp; Mr. Neil Harwani. Thank you Sapience &#8211; IMNU&#8217;s (Nirma University) Alumni Newsletter for publishing our article in Changing Times 2.0 (A Special Edition).<\/p>\n\n\n\n<div class=\"wp-block-file\"><a href=\"https:\/\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/06\/Sapience-2.0.pdf\">Sapience-2.0<\/a><a href=\"https:\/\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/06\/Sapience-2.0.pdf\" class=\"wp-block-file__button\" download>Download<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Building data models that everyone can understand and more importantly believe. Faculty Article &#8211; Author: Mr. Balakrishnan Unny &amp; Mr. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"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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Analytics \/ Data Science","author":"Neil Harwani","date":"February 19, 2020","format":false,"excerpt":"This article is based on understanding from Wikipedia article on Data Analysis & my experiences in Data Science \/ Analytics \/ AI \/ ML -\u00a0https:\/\/en.wikipedia.org\/wiki\/Data_analysis Various areas like\u00a0Data Mining, Predictive Analysis, Exploratory Data Analysis, Text Analytics, Business Intelligence, Confirmatory Data Analysis and Data Visualization\u00a0overlap with this area Before starting your\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\/Geometry.jpg?fit=960%2C538&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Geometry.jpg?fit=960%2C538&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Geometry.jpg?fit=960%2C538&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2020\/02\/Geometry.jpg?fit=960%2C538&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":1386,"url":"https:\/\/www.techandtrain.com\/blog\/2024\/11\/time-series-modelling-part-1-as-per-chatgpt-and-gemini\/","url_meta":{"origin":611,"position":1},"title":"Time series modelling &#8211; Part 1 as per ChatGPT and Gemini","author":"Neil Harwani","date":"November 30, 2024","format":false,"excerpt":"Reference: Term 2 - DSDM | IITGNX Here\u2019s a concise list of types of time series, each with a short explanation and example: 1. Univariate Time Series Explanation: Tracks a single variable over time. Example: Daily temperature readings in a city. 2. Multivariate Time Series Explanation: Tracks multiple variables over\u2026","rel":"","context":"In &quot;Time Series&quot;","block_context":{"text":"Time Series","link":"https:\/\/www.techandtrain.com\/blog\/category\/time-series\/"},"img":{"alt_text":"Credits: www.Pixabay.com","src":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/11\/clocks.jpg?fit=1200%2C800&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/11\/clocks.jpg?fit=1200%2C800&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/11\/clocks.jpg?fit=1200%2C800&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/11\/clocks.jpg?fit=1200%2C800&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2024\/11\/clocks.jpg?fit=1200%2C800&ssl=1&resize=1050%2C600 3x"},"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":611,"position":2},"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. Advanced Probability & Statistics Bayesian Inference Markov Chains Stochastic Processes Central Limit Theorem Hypothesis Testing Maximum Likelihood Estimation (MLE) Bayesian Networks Copulas Multivariate Distributions Monte Carlo Simulation Gibbs Sampling Hidden Markov Models (HMM) Variational\u2026","rel":"","context":"In &quot;Academics&quot;","block_context":{"text":"Academics","link":"https:\/\/www.techandtrain.com\/blog\/category\/academics\/"},"img":{"alt_text":"Image credit: www.Pixabay.com","src":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/DS-scaled.jpg?fit=1200%2C800&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/DS-scaled.jpg?fit=1200%2C800&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/DS-scaled.jpg?fit=1200%2C800&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/DS-scaled.jpg?fit=1200%2C800&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2026\/04\/DS-scaled.jpg?fit=1200%2C800&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":1216,"url":"https:\/\/www.techandtrain.com\/blog\/2024\/02\/notes-on-explainability-interpretability-in-machine-learning-chatgpt-bard-generated\/","url_meta":{"origin":611,"position":3},"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":1288,"url":"https:\/\/www.techandtrain.com\/blog\/2024\/08\/learnings-from-emasters-data-science-for-decision-making-iit-gandhinagar-part-1\/","url_meta":{"origin":611,"position":4},"title":"Learnings from eMasters Data Science for Decision Making &#8211; IIT Gandhinagar &#8211; Part 1","author":"Neil Harwani","date":"August 11, 2024","format":false,"excerpt":"Below are the learnings from eMasters Data Science for Decision Making - IIT Gandhinagar - Part 1. 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BITS Pilani: Pseudocode Definition of algorithms Models for time complexity Primitive operations Notations Correctness of algorithms Recursive algorithms Elementary data structures: Stacks, Queues, Lists Nonlinear data structures: Trees, Binary Trees, Heaps Dictionaries Algorithm design:\u2026","rel":"","context":"In &quot;Data Structures &amp; Algorithm Design&quot;","block_context":{"text":"Data Structures &amp; Algorithm Design","link":"https:\/\/www.techandtrain.com\/blog\/category\/data-structures-algorithm-design\/"},"img":{"alt_text":"Credit: www.Pixabay.com","src":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2023\/01\/algorithm-g4686ef105_1920.jpg?fit=1200%2C800&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2023\/01\/algorithm-g4686ef105_1920.jpg?fit=1200%2C800&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2023\/01\/algorithm-g4686ef105_1920.jpg?fit=1200%2C800&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2023\/01\/algorithm-g4686ef105_1920.jpg?fit=1200%2C800&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/www.techandtrain.com\/blog\/wp-content\/uploads\/2023\/01\/algorithm-g4686ef105_1920.jpg?fit=1200%2C800&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/posts\/611","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/comments?post=611"}],"version-history":[{"count":1,"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/posts\/611\/revisions"}],"predecessor-version":[{"id":613,"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/posts\/611\/revisions\/613"}],"wp:attachment":[{"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/media?parent=611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/categories?post=611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.techandtrain.com\/blog\/wp-json\/wp\/v2\/tags?post=611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}