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Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Category: Data Science

WHAT IS MCP BY ANTHROPIC?(MODEL CONTEXT PROTOCOL)
Data Science  Latest  Machine Learning

WHAT IS MCP BY ANTHROPIC?(MODEL CONTEXT PROTOCOL)

Adarsh Menon
1 like
March 12, 2025

Author(s): Adarsh Menon Originally published on Towards AI. while learning about MCP, I was initially perplexed regarding its functionality; my confusion deepened while examining the architecture. When I say “architecture is pretty complicated,” I mean the following:- SOURCE: https://modelcontextprotocol.io/introduction Motivation By Anthropic …

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FactoryBERT: An AI That Understands Manufacturing
Data Science  Latest  Machine Learning

FactoryBERT: An AI That Understands Manufacturing

Saif Ali Kheraj
1 like
March 12, 2025

Author(s): Saif Ali Kheraj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. https://www.freepik.com/free-photos-vectors/manufacturing-process Factories have their own way of talking. If you’ve ever been inside one, you might hear things like: “OEE is …

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I Built an AI Money Coach in Python — Here’s How You Can Too (Step-by-Step Guide!)
Artificial Intelligence  Data Science  Latest  Machine Learning

I Built an AI Money Coach in Python — Here’s How You Can Too (Step-by-Step Guide!)

Mukundan Sankar
1 like
March 11, 2025

Author(s): Mukundan Sankar Originally published on Towards AI. Want to manage your money better? Learn how to build an AI-powered financial coach in just a few steps. This member-only story is on us. Upgrade to access all of Medium. Image generated using …

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The Data Scientist’s New Assistant: An Ultimate Guide to Google’s Gemini Data Science Agent
Data Analysis  Data Science  Latest  Machine Learning

The Data Scientist’s New Assistant: An Ultimate Guide to Google’s Gemini Data Science Agent

Krishan Walia
1 like
March 11, 2025

Author(s): Krishan Walia Originally published on Towards AI. Let’s find to what extent your data science work is automated! This member-only story is on us. Upgrade to access all of Medium. Not a member?Feel free to access the full article here. The …

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Important LLMs Papers for the Week from 24/02 to 01/03
Data Science  Latest  Machine Learning

Important LLMs Papers for the Week from 24/02 to 01/03

Youssef Hosni
0 like
March 8, 2025

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research This member-only story is on us. Upgrade to access all of Medium. Large language models (LLMs) have advanced rapidly in recent years. As new generations of …

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🚅 Information Theory for People in a Hurry
Data Science  Latest  Machine Learning

🚅 Information Theory for People in a Hurry

Eyal Kazin PhD
1 like
March 7, 2025

Author(s): Eyal Kazin PhD Originally published on Towards AI. A quick guide to Entropy, Cross-Entropy and KL Divergence. Python code provided. 🐍 This member-only story is on us. Upgrade to access all of Medium. Generated using Gemini Imagen 3 Considered the Magna …

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Complete Guide to the Median: Understanding, Calculating, and Applying It
Artificial Intelligence  Data Science  Latest  Machine Learning

Complete Guide to the Median: Understanding, Calculating, and Applying It

Niklas Lang
0 like
March 5, 2025

Author(s): Niklas Lang Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by Zhu Hongzhi on Unsplash The median plays a central role in statistics and data analysis, as it can be used …

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Mastering the Basics: How Decision Trees Simplify Complex Choices
Artificial Intelligence  Data Science  Latest  Machine Learning

Mastering the Basics: How Decision Trees Simplify Complex Choices

Miguel Cardona Polo
1 like
March 4, 2025

Author(s): Miguel Cardona Polo Originally published on Towards AI. “Trees playing Baseball” by author using DALL·E 3. Decision trees form the backbone of some of the most popular machine learning models in industry today, such as Random Forests, Gradient Boosted Trees, and …

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Rethinking Imbalance: LLM Embeddings for Detecting Subtle Irregularities
Artificial Intelligence  Data Science  Latest  Machine Learning

Rethinking Imbalance: LLM Embeddings for Detecting Subtle Irregularities

Elangoraj Thiruppandiaraj
1 like
March 3, 2025

Author(s): Elangoraj Thiruppandiaraj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. I’ve worked on anomaly detection problems for a while now, and one obstacle I consistently face is extreme imbalance in the data. …

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GPT-4.5: The Next Evolution in AI
Data Analysis  Data Science  Latest  Machine Learning

GPT-4.5: The Next Evolution in AI

Naveen Krishnan
1 like
March 3, 2025

Author(s): Naveen Krishnan Originally published on Towards AI. Last week, I shared my thoughts on phi‑4 models and their innovative multimodal approach. Today, I’m thrilled to write about GPT‑4.5 — a model that not only pushes the boundaries of conversational AI but …

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The 5 Best Cloud Platforms for Hosting AI Applications
Artificial Intelligence  Cloud Computing  Data Science  Latest  Machine Learning

The 5 Best Cloud Platforms for Hosting AI Applications

Aleti Adarsh
1 like
March 3, 2025

Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Have you ever felt like you’re drowning in a sea of cloud providers, each promising to be the best solution for your …

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Pi-thon 3.14 Comes Full Circle With New Optimizations
Data Science  Latest  Machine Learning

Pi-thon 3.14 Comes Full Circle With New Optimizations

Xuzmonomi
0 like
March 3, 2025

Author(s): Xuzmonomi Originally published on Towards AI. Two Upgrades that will Make Python a Tad Bit More Efficient This member-only story is on us. Upgrade to access all of Medium. Python is beloved for its simplicity and readability, but when it comes …

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Building a Text Summarizer with Transformer
Data Science  Latest  Machine Learning

Building a Text Summarizer with Transformer

SHARON ZACHARIA
0 like
March 3, 2025

Author(s): SHARON ZACHARIA Originally published on Towards AI. Can machines understand human language? What if we could interact with them the same way we do with other humans? These questions are addressed by the field of Natural Language processing, which allows machines …

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Mastering Principal Component Analysis (PCA) for Effective Data Science
Data Science  Latest  Machine Learning

Mastering Principal Component Analysis (PCA) for Effective Data Science

Mirko Peters
0 like
February 26, 2025

Author(s): Mirko Peters Originally published on Towards AI. This blog post explores Principal Component Analysis (PCA), its importance in data science, and how it transforms complex, high-dimensional data into meaningful insights. Through real-world examples and practical steps, readers will learn how to …

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The Math Behind Supervised Learning: Making AI Less Mysterious
Artificial Intelligence  Data Science  Latest  Machine Learning

The Math Behind Supervised Learning: Making AI Less Mysterious

Aleti Adarsh
0 like
February 26, 2025

Author(s): Aleti Adarsh Originally published on Towards AI. Ever Wondered How AI ‘Learns’? Let’s Break It Down! This member-only story is on us. Upgrade to access all of Medium. Have you ever looked at AI models and thought, “How the heck does …

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`; } else { console.error('Element with id="subscribe" not found within the page with class "home".'); } } }); // Remove duplicate text from articles /* Backup: 09/11/24 function removeDuplicateText() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, strong'); // Select the desired elements const seenTexts = new Set(); // A set to keep track of seen texts const tagCounters = {}; // Object to track instances of each tag elements.forEach(el => { const tagName = el.tagName.toLowerCase(); // Get the tag name (e.g., 'h1', 'h2', etc.) // Initialize a counter for each tag if not already done if (!tagCounters[tagName]) { tagCounters[tagName] = 0; } // Only process the first 10 elements of each tag type if (tagCounters[tagName] >= 2) { return; // Skip if the number of elements exceeds 10 } const text = el.textContent.trim(); // Get the text content const words = text.split(/\s+/); // Split the text into words if (words.length >= 4) { // Ensure at least 4 words const significantPart = words.slice(0, 5).join(' '); // Get first 5 words for matching // Check if the text (not the tag) has been seen before if (seenTexts.has(significantPart)) { // console.log('Duplicate found, removing:', el); // Log duplicate el.remove(); // Remove duplicate element } else { seenTexts.add(significantPart); // Add the text to the set } } tagCounters[tagName]++; // Increment the counter for this tag }); } removeDuplicateText(); */ // Remove duplicate text from articles function removeDuplicateText() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, strong'); // Select the desired elements const seenTexts = new Set(); // A set to keep track of seen texts const tagCounters = {}; // Object to track instances of each tag // List of classes to be excluded const excludedClasses = ['medium-author', 'post-widget-title']; elements.forEach(el => { // Skip elements with any of the excluded classes if (excludedClasses.some(cls => el.classList.contains(cls))) { return; // Skip this element if it has any of the excluded classes } const tagName = el.tagName.toLowerCase(); // Get the tag name (e.g., 'h1', 'h2', etc.) // Initialize a counter for each tag if not already done if (!tagCounters[tagName]) { tagCounters[tagName] = 0; } // Only process the first 10 elements of each tag type if (tagCounters[tagName] >= 10) { return; // Skip if the number of elements exceeds 10 } const text = el.textContent.trim(); // Get the text content const words = text.split(/\s+/); // Split the text into words if (words.length >= 4) { // Ensure at least 4 words const significantPart = words.slice(0, 5).join(' '); // Get first 5 words for matching // Check if the text (not the tag) has been seen before if (seenTexts.has(significantPart)) { // console.log('Duplicate found, removing:', el); // Log duplicate el.remove(); // Remove duplicate element } else { seenTexts.add(significantPart); // Add the text to the set } } tagCounters[tagName]++; // Increment the counter for this tag }); } removeDuplicateText(); //Remove unnecessary text in blog excerpts document.querySelectorAll('.blog p').forEach(function(paragraph) { // Replace the unwanted text pattern for each paragraph paragraph.innerHTML = paragraph.innerHTML .replace(/Author\(s\): [\w\s]+ Originally published on Towards AI\.?/g, '') // Removes 'Author(s): XYZ Originally published on Towards AI' .replace(/This member-only story is on us\. Upgrade to access all of Medium\./g, ''); // Removes 'This member-only story...' }); //Load ionic icons and cache them if ('localStorage' in window && window['localStorage'] !== null) { const cssLink = 'https://code.ionicframework.com/ionicons/2.0.1/css/ionicons.min.css'; const storedCss = localStorage.getItem('ionicons'); if (storedCss) { loadCSS(storedCss); } else { fetch(cssLink).then(response => response.text()).then(css => { localStorage.setItem('ionicons', css); loadCSS(css); }); } } function loadCSS(css) { const style = document.createElement('style'); style.innerHTML = css; document.head.appendChild(style); } //Remove elements from imported content automatically function removeStrongFromHeadings() { const elements = document.querySelectorAll('h1, h2, h3, h4, h5, h6, span'); elements.forEach(el => { const strongTags = el.querySelectorAll('strong'); strongTags.forEach(strongTag => { while (strongTag.firstChild) { strongTag.parentNode.insertBefore(strongTag.firstChild, strongTag); } strongTag.remove(); }); }); } removeStrongFromHeadings(); "use strict"; window.onload = () => { /* //This is an object for each category of subjects and in that there are kewords and link to the keywods let keywordsAndLinks = { //you can add more categories and define their keywords and add a link ds: { keywords: [ //you can add more keywords here they are detected and replaced with achor tag automatically 'data science', 'Data science', 'Data Science', 'data Science', 'DATA SCIENCE', ], //we will replace the linktext with the keyword later on in the code //you can easily change links for each category here //(include class="ml-link" and linktext) link: 'linktext', }, ml: { keywords: [ //Add more keywords 'machine learning', 'Machine learning', 'Machine Learning', 'machine Learning', 'MACHINE LEARNING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ai: { keywords: [ 'artificial intelligence', 'Artificial intelligence', 'Artificial Intelligence', 'artificial Intelligence', 'ARTIFICIAL INTELLIGENCE', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, nl: { keywords: [ 'NLP', 'nlp', 'natural language processing', 'Natural Language Processing', 'NATURAL LANGUAGE PROCESSING', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, des: { keywords: [ 'data engineering services', 'Data Engineering Services', 'DATA ENGINEERING SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, td: { keywords: [ 'training data', 'Training Data', 'training Data', 'TRAINING DATA', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, ias: { keywords: [ 'image annotation services', 'Image annotation services', 'image Annotation services', 'image annotation Services', 'Image Annotation Services', 'IMAGE ANNOTATION SERVICES', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, l: { keywords: [ 'labeling', 'labelling', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, pbp: { keywords: [ 'previous blog posts', 'previous blog post', 'latest', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, mlc: { keywords: [ 'machine learning course', 'machine learning class', ], //Change your article link (include class="ml-link" and linktext) link: 'linktext', }, }; //Articles to skip let articleIdsToSkip = ['post-2651', 'post-3414', 'post-3540']; //keyword with its related achortag is recieved here along with article id function searchAndReplace(keyword, anchorTag, articleId) { //selects the h3 h4 and p tags that are inside of the article let content = document.querySelector(`#${articleId} .entry-content`); //replaces the "linktext" in achor tag with the keyword that will be searched and replaced let newLink = anchorTag.replace('linktext', keyword); //regular expression to search keyword var re = new RegExp('(' + keyword + ')', 'g'); //this replaces the keywords in h3 h4 and p tags content with achor tag content.innerHTML = content.innerHTML.replace(re, newLink); } function articleFilter(keyword, anchorTag) { //gets all the articles var articles = document.querySelectorAll('article'); //if its zero or less then there are no articles if (articles.length > 0) { for (let x = 0; x < articles.length; x++) { //articles to skip is an array in which there are ids of articles which should not get effected //if the current article's id is also in that array then do not call search and replace with its data if (!articleIdsToSkip.includes(articles[x].id)) { //search and replace is called on articles which should get effected searchAndReplace(keyword, anchorTag, articles[x].id, key); } else { console.log( `Cannot replace the keywords in article with id ${articles[x].id}` ); } } } else { console.log('No articles found.'); } } let key; //not part of script, added for (key in keywordsAndLinks) { //key is the object in keywords and links object i.e ds, ml, ai for (let i = 0; i < keywordsAndLinks[key].keywords.length; i++) { //keywordsAndLinks[key].keywords is the array of keywords for key (ds, ml, ai) //keywordsAndLinks[key].keywords[i] is the keyword and keywordsAndLinks[key].link is the link //keyword and link is sent to searchreplace where it is then replaced using regular expression and replace function articleFilter( keywordsAndLinks[key].keywords[i], keywordsAndLinks[key].link ); } } function cleanLinks() { // (making smal functions is for DRY) this function gets the links and only keeps the first 2 and from the rest removes the anchor tag and replaces it with its text function removeLinks(links) { if (links.length > 1) { for (let i = 2; i < links.length; i++) { links[i].outerHTML = links[i].textContent; } } } //arrays which will contain all the achor tags found with the class (ds-link, ml-link, ailink) in each article inserted using search and replace let dslinks; let mllinks; let ailinks; let nllinks; let deslinks; let tdlinks; let iaslinks; let llinks; let pbplinks; let mlclinks; const content = document.querySelectorAll('article'); //all articles content.forEach((c) => { //to skip the articles with specific ids if (!articleIdsToSkip.includes(c.id)) { //getting all the anchor tags in each article one by one dslinks = document.querySelectorAll(`#${c.id} .entry-content a.ds-link`); mllinks = document.querySelectorAll(`#${c.id} .entry-content a.ml-link`); ailinks = document.querySelectorAll(`#${c.id} .entry-content a.ai-link`); nllinks = document.querySelectorAll(`#${c.id} .entry-content a.ntrl-link`); deslinks = document.querySelectorAll(`#${c.id} .entry-content a.des-link`); tdlinks = document.querySelectorAll(`#${c.id} .entry-content a.td-link`); iaslinks = document.querySelectorAll(`#${c.id} .entry-content a.ias-link`); mlclinks = document.querySelectorAll(`#${c.id} .entry-content a.mlc-link`); llinks = document.querySelectorAll(`#${c.id} .entry-content a.l-link`); pbplinks = document.querySelectorAll(`#${c.id} .entry-content a.pbp-link`); //sending the anchor tags list of each article one by one to remove extra anchor tags removeLinks(dslinks); removeLinks(mllinks); removeLinks(ailinks); removeLinks(nllinks); removeLinks(deslinks); removeLinks(tdlinks); removeLinks(iaslinks); removeLinks(mlclinks); removeLinks(llinks); removeLinks(pbplinks); } }); } //To remove extra achor tags of each category (ds, ml, ai) and only have 2 of each category per article cleanLinks(); */ //Recommended Articles var ctaLinks = [ /* ' ' + '

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',*/ ]; var replaceText = { '': '', '': '', '
': '
' + ctaLinks + '
', }; Object.keys(replaceText).forEach((txtorig) => { //txtorig is the key in replacetext object const txtnew = replaceText[txtorig]; //txtnew is the value of the key in replacetext object let entryFooter = document.querySelector('article .entry-footer'); if (document.querySelectorAll('.single-post').length > 0) { //console.log('Article found.'); const text = entryFooter.innerHTML; entryFooter.innerHTML = text.replace(txtorig, txtnew); } else { // console.log('Article not found.'); //removing comment 09/04/24 } }); var css = document.createElement('style'); css.type = 'text/css'; css.innerHTML = '.post-tags { display:none !important } .article-cta a { font-size: 18px; }'; document.body.appendChild(css); //Extra //This function adds some accessibility needs to the site. function addAlly() { // In this function JQuery is replaced with vanilla javascript functions const imgCont = document.querySelector('.uw-imgcont'); imgCont.setAttribute('aria-label', 'AI news, latest developments'); imgCont.title = 'AI news, latest developments'; imgCont.rel = 'noopener'; document.querySelector('.page-mobile-menu-logo a').title = 'Towards AI Home'; document.querySelector('a.social-link').rel = 'noopener'; document.querySelector('a.uw-text').rel = 'noopener'; document.querySelector('a.uw-w-branding').rel = 'noopener'; document.querySelector('.blog h2.heading').innerHTML = 'Publication'; const popupSearch = document.querySelector$('a.btn-open-popup-search'); popupSearch.setAttribute('role', 'button'); popupSearch.title = 'Search'; const searchClose = document.querySelector('a.popup-search-close'); searchClose.setAttribute('role', 'button'); searchClose.title = 'Close search page'; // document // .querySelector('a.btn-open-popup-search') // .setAttribute( // 'href', // 'https://medium.com/towards-artificial-intelligence/search' // ); } // Add external attributes to 302 sticky and editorial links function extLink() { // Sticky 302 links, this fuction opens the link we send to Medium on a new tab and adds a "noopener" rel to them var stickyLinks = document.querySelectorAll('.grid-item.sticky a'); for (var i = 0; i < stickyLinks.length; i++) { /* stickyLinks[i].setAttribute('target', '_blank'); stickyLinks[i].setAttribute('rel', 'noopener'); */ } // Editorial 302 links, same here var editLinks = document.querySelectorAll( '.grid-item.category-editorial a' ); for (var i = 0; i < editLinks.length; i++) { editLinks[i].setAttribute('target', '_blank'); editLinks[i].setAttribute('rel', 'noopener'); } } // Add current year to copyright notices document.getElementById( 'js-current-year' ).textContent = new Date().getFullYear(); // Call functions after page load extLink(); //addAlly(); setTimeout(function() { //addAlly(); //ideally we should only need to run it once ↑ }, 5000); }; function closeCookieDialog (){ document.getElementById("cookie-consent").style.display = "none"; return false; } setTimeout ( function () { closeCookieDialog(); }, 15000); console.log(`%c 🚀🚀🚀 ███ █████ ███████ █████████ ███████████ █████████████ ███████████████ ███████ ███████ ███████ ┌───────────────────────────────────────────────────────────────────┐ │ │ │ Towards AI is looking for contributors! │ │ Join us in creating awesome AI content. │ │ Let's build the future of AI together → │ │ https://towardsai.net/contribute │ │ │ └───────────────────────────────────────────────────────────────────┘ `, `background: ; color: #00adff; font-size: large`); //Remove latest category across site document.querySelectorAll('a[rel="category tag"]').forEach(function(el) { if (el.textContent.trim() === 'Latest') { // Remove the two consecutive spaces (  ) if (el.nextSibling && el.nextSibling.nodeValue.includes('\u00A0\u00A0')) { el.nextSibling.nodeValue = ''; // Remove the spaces } el.style.display = 'none'; // Hide the element } }); // Add cross-domain measurement, anonymize IPs 'use strict'; //var ga = gtag; ga('config', 'G-9D3HKKFV1Q', 'auto', { /*'allowLinker': true,*/ 'anonymize_ip': true/*, 'linker': { 'domains': [ 'medium.com/towards-artificial-intelligence', 'datasets.towardsai.net', 'rss.towardsai.net', 'feed.towardsai.net', 'contribute.towardsai.net', 'members.towardsai.net', 'pub.towardsai.net', 'news.towardsai.net' ] } */ }); ga('send', 'pageview'); -->