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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 Analysis

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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Nuclei Detection and Fluorescence Quantification in Python: A Step-by-Step Guide (Part 2)
Data Analysis  Latest  Machine Learning

Nuclei Detection and Fluorescence Quantification in Python: A Step-by-Step Guide (Part 2)

MicroBioscopicData (by Alexandros Athanasopoulos)
0 like
March 10, 2025

Author(s): MicroBioscopicData (by Alexandros Athanasopoulos) Originally published on Towards AI. Welcome back to the second tutorial in our series, “Nuclei Detection and Fluorescence Quantification in Python.” In this tutorial, we will focus on measuring the fluorescence intensity from the GFP channel, extracting …

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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
0 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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Data Diagnostics: Transforming & Reducing Data for Smarter Insights
Data Analysis  Data Science  Latest  Machine Learning

Data Diagnostics: Transforming & Reducing Data for Smarter Insights

Saif Ali Kheraj
0 like
February 20, 2025

Author(s): Saif Ali Kheraj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Ever looked at a dataset and wondered, Where do I even start? The answer lies in understanding its distribution. Before jumping …

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SQL Best Practices Every Data Scientist and Analyst Should Know
Data Analysis  Data Science  Latest  Machine Learning

SQL Best Practices Every Data Scientist and Analyst Should Know

Carlos da Costa
0 like
February 18, 2025

Author(s): Carlos da Costa Originally published on Towards AI. Write efficient, scalable, and easy-to-read queries This member-only story is on us. Upgrade to access all of Medium. Photo by John Schnobrich on Unsplash Writing efficient and readable SQL queries is a fundamental …

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Analyze Data Like A Python Pro
Data Analysis  Data Science  Latest  Machine Learning

Analyze Data Like A Python Pro

Katlego Thobye
1 like
February 14, 2025

Author(s): Katlego Thobye Originally published on Towards AI. Create a Cheat Sheet and Stop Googling the Docs This member-only story is on us. Upgrade to access all of Medium. Photo by Mathew Schwartz on Unsplash I remember drowning in online searches for …

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Beginner GPT-4 Prompting For Surprisingly Easy Maps and Reports
Data Analysis  Data Visualization  Latest  Machine Learning

Beginner GPT-4 Prompting For Surprisingly Easy Maps and Reports

John Loewen, PhD
1 like
February 13, 2025

Author(s): John Loewen, PhD Originally published on Towards AI. No-code prompts for rapid data visualization reporting This member-only story is on us. Upgrade to access all of Medium. As a computer science professor of 20+ years, I have heaps of experience in …

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The Python Skill That Landed Me a Data Analyst Role
Data Analysis  Data Science  Latest  Machine Learning

The Python Skill That Landed Me a Data Analyst Role

Katlego Thobye
1 like
February 10, 2025

Author(s): Katlego Thobye Originally published on Towards AI. Attract Top Tier Tech Employers Through Mastering This One Skill This member-only story is on us. Upgrade to access all of Medium. Photo by Shannon Potter on Unsplash When I was interviewing for my …

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The Data Science Evolution: A Tale of Trends, Talent, and Time!🚀
Data Analysis  Data Visualization  Latest  Machine Learning

The Data Science Evolution: A Tale of Trends, Talent, and Time!🚀

Kashish Rastogi
0 like
February 5, 2025

Author(s): Kashish Rastogi Originally published on Towards AI. The Data Science Evolution: A Tale of Trends, Talent, and Time!🚀 This analysis isn’t a battle of the sexes it’s a deep dive into how men and women engage with different aspects of the …

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Easy Late-Chunking With Chonkie
Data Analysis  Data Science  Latest  Machine Learning

Easy Late-Chunking With Chonkie

Michael Ryaboy
1 like
February 5, 2025

Author(s): Michael Ryaboy Originally published on Towards AI. Image Source https://github.com/chonkie-ai/ Late Chunking has just been released in Chonkie, a lean chunking library that already boasts over 2,000 stars on GitHub. This is a welcome update for anyone looking to integrate late …

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Anyone Can Build GenAI Apps​
Data Analysis  Data Engineering  Data Science  Latest  Machine Learning

Anyone Can Build GenAI Apps​

Jiazhen Zhu
0 like
February 4, 2025

Author(s): Jiazhen Zhu Originally published on Towards AI. written by Jiazhen Zhu, Michael Pfaffenberger, Wallace Dalmet, Sriram Ranganathan, Ahmed Noufel, and Anveshrithaa Sundareswaran Photo credit: Pixabay We conducted a brown bag session at the Walmart Global Tech Reston site to discuss this …

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Introduction to Machine Learning
Data Analysis  Data Science  Latest  Machine Learning

Introduction to Machine Learning

Carlos da Costa
0 like
January 28, 2025

Author(s): Carlos da Costa Originally published on Towards AI. Lay the foundation for your machine learning journey with this comprehensive introduction This member-only story is on us. Upgrade to access all of Medium. Photo by Arseny Togulev on Unsplash When we hear …

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Part 02 Module 01
Data Analysis  Latest  Machine Learning

Part 02 Module 01

Sudeep
0 like
January 27, 2025

Author(s): Sudeep Originally published on Towards AI. Now let’s learn about Correlation. Correlation is a statistical measure that indicates the strength and direction of a relationship between two variables. In a dataset, the values can show: Positive Correlation: As one variable increases, …

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Conditional (Case When) Statements in SQL
Data Analysis  Data Engineering  Latest  Machine Learning

Conditional (Case When) Statements in SQL

Kamireddy Mahendra
1 like
January 26, 2025

Author(s): Kamireddy Mahendra Originally published on Towards AI. A Must-Know Concept to Work in the Real World Projects This member-only story is on us. Upgrade to access all of Medium. Image by author In real-world projects, It’s necessary to understand that the …

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Boost your Local Business with Data Analysis and Web Scraping
Artificial Intelligence  Data Analysis  Data Science  Latest  Machine Learning

Boost your Local Business with Data Analysis and Web Scraping

Lazar Gugleta
0 like
December 26, 2024

Author(s): Lazar Gugleta Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Improving your business is a daily and tedious task, but using competition data can provide interesting underlying insights. Data analysis lets you …

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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'); -->