{"id":2356,"date":"2016-11-22T15:02:01","date_gmt":"2016-11-22T23:02:01","guid":{"rendered":"https:\/\/www.springboard.com\/?p=2356"},"modified":"2023-07-08T15:41:10","modified_gmt":"2023-07-08T22:41:10","slug":"the-10-best-ai-data-science-and-machine-learning-podcasts","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-science\/the-10-best-ai-data-science-and-machine-learning-podcasts\/","title":{"rendered":"The 10 Best AI, Data Science and Machine Learning\u00a0Podcasts"},"content":{"rendered":"\r\n<section class=\"section section--body section--first\">\r\n<h3 id=\"fa92\" class=\"graf graf--h2 graf-after--figure graf--title\">Learn the basics and keep up with the latest news in data science, machine learning, and artificial intelligence by listening to these great podcasts<\/h3>\r\n<p><strong>This is a guest post, <a href=\"https:\/\/medium.com\/@mattfogel\/the-10-best-ai-data-science-and-machine-learning-podcasts-d7495cfb127c#.dkujpjghj\" target=\"_blank\" rel=\"noopener\">republished with permission<\/a> , by Matt Fogel of <a href=\"https:\/\/fuzzy.ai\/\" target=\"_blank\" rel=\"noopener\">fuzzy.ai<\/a>. He helps developers build smarter software by providing them an easy way to incorporate machine learning and AI principles.\u00a0<\/strong><\/p>\r\n<p id=\"3e30\" class=\"graf graf--p graf-after--h4\">It seems like AI, data science, machine learning and bots are some of the most discussed topics in tech today. Given <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/fuzzy.ai\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/fuzzy.ai\">my company Fuzzy.ai<\/a>\u2019s mission to make AI and machine learning more accessible to all developers and product managers, a lot of people ask me about how I keep on top of news in the field.<\/p>\r\n<h2>Our Favorite\u00a0AI, Data Science and Machine Learning\u00a0Podcasts<\/h2>\r\n<p><em><strong>Related:<\/strong> <a href=\"https:\/\/www.springboard.com\/blog\/data-science\/machine-learning-ai-and-data-science-newsletters\/\" target=\"_blank\" rel=\"noopener\">Our Favorite Data Science &amp; Machine Learning Newsletters<\/a><\/em><\/p>\r\n<p id=\"d005\" class=\"graf graf--p graf-after--p\">My preferred way to do this is always through listening to podcasts. Here are the ones I\u2019ve found the most interesting:<\/p>\r\n<h3 id=\"79d1\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"http:\/\/dataskeptic.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/dataskeptic.com\/\" data->The Data\u00a0Skeptic<\/a><\/h3>\r\n<figure id=\"2d35\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image alignnone\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*IIubHPYAypUV3_RES997Eg.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*IIubHPYAypUV3_RES997Eg.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"dc63\" class=\"graf graf--p graf-after--figure\">A long-time favorite of mine and a great starting point for some of the basics of data science and machine learning. They alternate between great interviews with academics &amp; practitioners and short 10\u201315 minute episodes where the hosts give a short primer on topics like calculating feature importance, k-means clustering, natural language processing and decision trees, often using analogies related to their pet parrot, Yoshi. This is the only place where you\u2019ll learn about k-means clustering via the placement of parrot droppings.<\/p>\r\n<p id=\"70b0\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/dataskeptic.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/dataskeptic.com\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/the-data-skeptic-podcast\/id890348705\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/the-data-skeptic-podcast\/id890348705\" data->iTunes<\/a><\/p>\r\n<h3 id=\"f402\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"http:\/\/lineardigressions.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/lineardigressions.com\/\" data->Linear Digressions<\/a><\/h3>\r\n<figure id=\"b017\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*j_3y1tnXwNRdS5yVb9YAhw.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*j_3y1tnXwNRdS5yVb9YAhw.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"1054\" class=\"graf graf--p graf-after--figure\">Hosted by Katie Malone and Ben Jaffe, this weekly podcast covers diverse topics in data science and machine learning: talking about specific concepts like model theft and the cold start problem and how they apply to real-world problems and datasets. They make complex topics accessible.<\/p>\r\n<p id=\"8ad3\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/lineardigressions.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/lineardigressions.com\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/linear-digressions\/id941219323\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/linear-digressions\/id941219323\" data->iTunes<\/a><\/p>\r\n<h3 id=\"defd\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"http:\/\/www.thetalkingmachines.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/www.thetalkingmachines.com\/\" data->Talking Machines<\/a><\/h3>\r\n<figure id=\"c687\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*w1mAks253oWyFOXm2uGFLg.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*w1mAks253oWyFOXm2uGFLg.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"751b\" class=\"graf graf--p graf-after--figure\">Well into its second season, in this podcast, hosts Katherine Gorman and Ryan Adams speak with a guest about their work, and news stories related to machine learning. A great listen.<\/p>\r\n<p id=\"a160\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/www.thetalkingmachines.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/www.thetalkingmachines.com\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/episodes-talking-machines\/id955198749?mt=2\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/episodes-talking-machines\/id955198749?mt=2\" data->iTunes<\/a><\/p>\r\n<h3 id=\"4dfa\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"https:\/\/www.oreilly.com\/topics\/oreilly-data-show-podcast\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/www.oreilly.com\/topics\/oreilly-data-show-podcast\" data->The O\u2019Reilly Data\u00a0Show<\/a><\/h3>\r\n<figure id=\"5872\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*HST6WbCETMgu1cmz5BpEZA.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*HST6WbCETMgu1cmz5BpEZA.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"3a19\" class=\"graf graf--p graf-after--figure\">This podcast features Ben Lorica, O\u2019Reilly Media\u2019s Chief Data Scientist speaking with other experts about timely big data and data science topics. It can often get quite technical, but the topics of discussion are always really interesting.<\/p>\r\n<p id=\"4f81\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/www.oreilly.com\/topics\/oreilly-data-show-podcast\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/www.oreilly.com\/topics\/oreilly-data-show-podcast\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/oreilly-data-show\/id944929220\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/oreilly-data-show\/id944929220\" data->iTunes<\/a><\/p>\r\n<h3 id=\"f67a\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"https:\/\/www.oreilly.com\/topics\/oreilly-bots-podcast\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/www.oreilly.com\/topics\/oreilly-bots-podcast\" data->The O\u2019Reilly Bots\u00a0Podcast<\/a><\/h3>\r\n<figure id=\"140b\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*EjNDTWbqG5SQl4o8Xf6U0Q.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*EjNDTWbqG5SQl4o8Xf6U0Q.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"dd03\" class=\"graf graf--p graf-after--figure\">The second O\u2019Reilly entry on this list is one of the newer podcasts on the block. Hosted by Jon Bruner (and sometimes Pete Skomoroch), it focuses specifically on bots and messaging. This is one of the newer and hotter areas in the space, so it\u2019s definitely worth a listen!<\/p>\r\n<p id=\"c835\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/www.oreilly.com\/topics\/oreilly-bots-podcast\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/www.oreilly.com\/topics\/oreilly-bots-podcast\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/oreilly-bots-podcast-oreilly\/id1145426486\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/oreilly-bots-podcast-oreilly\/id1145426486\" data->iTunes<\/a><\/p>\r\n<h3 id=\"add7\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"https:\/\/concerning.ai\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/concerning.ai\/\" data->Concerning AI<\/a><\/h3>\r\n<figure id=\"adc4\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*qNGYIUP6W0v6_K2rflvZYA.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*qNGYIUP6W0v6_K2rflvZYA.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"bb49\" class=\"graf graf--p graf-after--figure\">Concerning AI offers a different take on artificial intelligence than the other podcasts on this list. Brandon Sanders &amp; Ted Sarvata take a more philosophical look at what AI means for society today and in the future. Exploring the possibilities of artificial super-intelligence can get a little scary at times, but it\u2019s always thought-provoking.<\/p>\r\n<p id=\"6c27\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/concerning.ai\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/concerning.ai\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/concerning-ai-artificial-intelligence\/id1038719211\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/concerning-ai-artificial-intelligence\/id1038719211\" data->iTunes<\/a><\/p>\r\n<h3 id=\"a491\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"https:\/\/twimlai.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/twimlai.com\/\" data->This Week in Machine Learning &amp;\u00a0AI<\/a><\/h3>\r\n<figure id=\"15a9\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*QzMbmbhRIpGstQJcMV6S1w.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*QzMbmbhRIpGstQJcMV6S1w.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"f550\" class=\"graf graf--p graf-after--figure\">Another relatively new podcast, This Week in Machine Learning &amp; AI releases a new episode every other week. Each episode features an interview with a ML\/AI expert on a variety of topics. Recent episodes include discussing teaching machines empathy, generating training data, and productizing AI.<\/p>\r\n<p id=\"ffed\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/twimlai.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/twimlai.com\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/this-week-in-machine-learning\/id1116303051\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/this-week-in-machine-learning\/id1116303051\" data->iTunes<\/a><\/p>\r\n<h3 id=\"8abd\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"http:\/\/datastori.es\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/datastori.es\/\" data->Data Stories<\/a><\/h3>\r\n<figure id=\"8acd\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*GfnTdkFPsAyROzq1IeOb3w.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*GfnTdkFPsAyROzq1IeOb3w.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"eb11\" class=\"graf graf--p graf-after--figure\">Data Stories is a little more focused on data visualization than data science, but there is often some interesting overlap between the topics. Every other week, Enrico Bertini and Moritz Stefaner cover diverse topics in data with their guests. Recent episodes about data ethics and looking at data from space are particularly interesting.<\/p>\r\n<p id=\"958a\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/datastori.es\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/datastori.es\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/itunes.apple.com\/de\/podcast\/data-stories\/id502854960?l=en\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/itunes.apple.com\/de\/podcast\/data-stories\/id502854960?l=en\" data->iTunes<\/a><\/p>\r\n<h3 id=\"f41d\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"http:\/\/www.learningmachines101.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/www.learningmachines101.com\/\" data->Learning Machines\u00a0101<\/a><\/h3>\r\n<figure id=\"9aad\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*SrSCXTNvUHzENik8GMhsNQ.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*SrSCXTNvUHzENik8GMhsNQ.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"1639\" class=\"graf graf--p graf-after--figure\">Billing itself as \u201cA Gentle Introduction to Artificial Intelligence and Machine Learning\u201d, this podcast can still get quite technical and complex, covering topics like: \u201cHow to Catch Spammers using Spectral Clustering\u201d and \u201cHow to Enhance Learning Machines with Swarm Intelligence\u201d.<\/p>\r\n<p id=\"7791\" class=\"graf graf--p graf-after--p\"><a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/www.learningmachines101.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/www.learningmachines101.com\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/learning-machines-101\/id892779679?mt=2&amp;uo=4\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/learning-machines-101\/id892779679?mt=2&amp;uo=4\" data->iTunes<\/a><\/p>\r\n<h3 id=\"6b67\" class=\"graf graf--h3 graf-after--p\"><a class=\"markup--anchor markup--h3-anchor\" href=\"http:\/\/www.partiallyderivative.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/www.partiallyderivative.com\/\" data->Partially Derivative<\/a><\/h3>\r\n<figure id=\"c3fb\" class=\"graf graf--figure graf--layoutOutsetLeft graf-after--h3\" data-scroll=\"native\"><br class=\"rm\" \/>\r\n<figure><img decoding=\"async\" class=\"progressiveMedia-image js-progressiveMedia-image\" src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*vE-ZXisOtwGyw42xZGb6Zw.jpeg\" data-src=\"https:\/\/cdn-images-1.medium.com\/max\/1200\/1*vE-ZXisOtwGyw42xZGb6Zw.jpeg\" \/><\/figure>\r\n<\/figure>\r\n<p id=\"6e0b\" class=\"graf graf--p graf-after--figure\">Hosts Chris Albon, Jonathon Morgan and Vidya Spandana all experienced technologists and data scientists, talk about the latest news in data science over drinks. Listening to Partially Derivative is a great way to keep up on the latest data news.<\/p>\r\n<p id=\"d7dc\" class=\"graf graf--p graf-after--p graf--last\"><a class=\"markup--anchor markup--p-anchor\" href=\"http:\/\/www.partiallyderivative.com\/\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"http:\/\/www.partiallyderivative.com\/\" data->Website<\/a> | <a class=\"markup--anchor markup--p-anchor\" href=\"https:\/\/itunes.apple.com\/us\/podcast\/partially-derivative\/id942048597?mt=2\" target=\"_blank\" rel=\"nofollow noopener\" data-href=\"https:\/\/itunes.apple.com\/us\/podcast\/partially-derivative\/id942048597?mt=2\" data->iTunes<\/a><\/p>\r\n<p class=\"graf graf--p graf-after--p graf--last\">Already blown through this list? We know, this is good stuff! Want an encore? Check out this podcast series by <a href=\"http:\/\/vaultanalytics.com\/datacrunch\/\" target=\"_blank\" rel=\"noopener\">Vault Analytics<\/a>. Some of our favorite episodes\u00a0interview data scientists\u00a0<a href=\"http:\/\/vaultanalytics.com\/podcast\/the_complex_world_of_data_scientists_and_black_box_algorithms\/\" target=\"_blank\" rel=\"noopener\">Hilary Mason<\/a>\u00a0and\u00a0<a href=\"http:\/\/vaultanalytics.com\/podcast\/the-golden-age-of-data-science\/\" target=\"_blank\" rel=\"noopener\">Gregory Piatetsky-Shapiro<\/a>.<\/p>\r\n<\/section>\r\n\r\n\r\n\r\n<section class=\"section section--body section--last\">\r\n<p id=\"4141\" class=\"graf graf--p graf--leading\"><strong>Feel Matt has unfairly left a podcast off this list? Leave him a note below to let him know.<\/strong><\/p>\r\n<p class=\"graf graf--p graf--leading\"><strong>Want to contribute to the Springboard blog? Email <a href=\"mailto:roger@springboard.com\">roger@springboard.com<\/a>!<\/strong><\/p>\r\n<\/section>\r\n\r\n\r\n<div class=\"bg-leaf-50 p-4 my-3\"><h4 class=\"fw-bold text-center\">Get To Know Other\tData Science Students<\/h4><div class=\"row row-cols-1 row-cols-lg-3\"><div class=\"col\"><div class=\"card success-story-card h-100 d-flex justify-content-between mb-0\"><div class=\"flex-grow-1 text-center\"><a class=\"d-inline-block rounded-circle\" href=\"\/success\/jonas-cuadrado\" style=\"width:125px;height:125px;overflow:hidden\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203193\/Student%20Success\/Jonas_Cuadrado_125x125.png\" alt=\"Jonas Cuadrado\" style=\"object-fit:contain;max-width:170px;height:125px\" \/><\/a><p class=\"fw-bold mb-0\">Jonas Cuadrado<\/p><p class=\"text-muted lh-1\">Senior Data Scientist at Feedzai<\/p><\/div><div class=\"w-100 d-block d-md-none mt-3\"><\/div><p class=\"mb-0 mx-auto text-center\"><a class=\"btn btn-primary mx-auto\" href=\"\/success\/jonas-cuadrado\">Read Story<\/a><\/p><\/div><\/div><div class=\"col d-none d-md-block\"><div class=\"card success-story-card h-100 d-flex justify-content-between mb-0\"><div class=\"flex-grow-1 text-center\"><a class=\"d-inline-block rounded-circle\" href=\"\/success\/george-mendoza\" style=\"width:125px;height:125px;overflow:hidden\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1635445773\/Student%20Success\/George_Mendoza_375x375.png\" alt=\"George Mendoza\" style=\"object-fit:contain;max-width:170px;height:125px\" \/><\/a><p class=\"fw-bold mb-0\">George Mendoza<\/p><p class=\"text-muted lh-1\">Lead Solutions Manager at Hypergiant<\/p><\/div><p class=\"mb-0 mx-auto text-center\"><a class=\"btn btn-primary mx-auto\" href=\"\/success\/george-mendoza\">Read Story<\/a><\/p><\/div><\/div><div class=\"col d-none d-md-block\"><div class=\"card success-story-card h-100 d-flex justify-content-between mb-0\"><div class=\"flex-grow-1 text-center\"><a class=\"d-inline-block rounded-circle\" href=\"\/success\/haotian-wu\" style=\"width:125px;height:125px;overflow:hidden\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/res.cloudinary.com\/springboard-images\/image\/upload\/v1629203192\/Student%20Success\/Haotian_Wu_125x125.png\" alt=\"Haotian Wu\" style=\"object-fit:contain;max-width:170px;height:125px\" \/><\/a><p class=\"fw-bold mb-0\">Haotian Wu<\/p><p class=\"text-muted lh-1\">Data Scientist at RepTrak<\/p><\/div><p class=\"mb-0 mx-auto text-center\"><a class=\"btn btn-primary mx-auto\" href=\"\/success\/haotian-wu\">Read Story<\/a><\/p><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Learn the basics and keep up with the latest news in data science, machine learning, and artificial intelligence by listening to these great podcasts This is a guest post, republished with permission , by Matt Fogel of fuzzy.ai. He helps developers build smarter software by providing them an easy way to incorporate machine learning and [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":2362,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_eb_attr":"","_eb_data_table":"","footnotes":""},"categories":[67],"tags":[],"marketing_tags":[],"class_list":{"0":"post-2356","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science"},"acf":[],"_links":{"self":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/2356"}],"collection":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/comments?post=2356"}],"version-history":[{"count":4,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/2356\/revisions"}],"predecessor-version":[{"id":47717,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/posts\/2356\/revisions\/47717"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media\/2362"}],"wp:attachment":[{"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/media?parent=2356"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/categories?post=2356"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/tags?post=2356"},{"taxonomy":"marketing_tags","embeddable":true,"href":"https:\/\/www.springboard.com\/blog\/wp-json\/wp\/v2\/marketing_tags?post=2356"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}