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Follow on Google News | Gideon Mendels, CEO of CometML on Why Machine Learning is Part of the Software Engineer's ToolkitThis episode of HumAIn Podcast focuses on Why Machine Learning is Now Part of the Software Engineer's Toolbox and is geared toward all audiences who want to learn how 2020 will be the year of language agnostic systems.
By: HumAIn Podcast The most recent episode featured Rishal Hurbans, Solutions Architect at Entelect and explored making AI accessible by using interactive guides and visual examples to engage with learners. In this episode, Gideon Mendels shared remarks including: "The idea is that you can use a model that was trained on a much bigger dataset because being able to get data label set is hard and expensive. The idea with transfer learning is by using a model trained on a much bigger data set, you can get much better results than a smaller one" In April 2020, The HumAIn Podcast ranked in the top 100 Global Technology Podcasts in the United States, Canada, Germany, United Kingdom, and United Arab Emirates. This episode of HumAIn is available on: Spotify, Apple Podcasts, and all major podcast platforms: http://www.humainpodcast.com/ http://www.humainpodcast.com/ About HumAIn Podcast The HumAIn Podcast is a leading artificial intelligence podcast that explores the topics of AI, data science, future of work, and developer education for technologists. Whether you are an Executive, data scientist, software engineer, product manager, or student-in-training, HumAIn connects you with industry thought leaders on the technology trends that are relevant and practical. HumAIn Podcast is a leading data science podcast where frequently discussed topics include ai trends, ai for all, computer vision, natural language processing, machine learning, data science, and reskilling and upskilling for developers. Episodes focus on new technology, startups, and Human Centered AI in the Fourth Industrial Revolution. HumAIn is the channel to release new AI products, discuss technology trends, and augment human performance. Fans of the podcast can contact david@yakobovitch.com via email to provide feedback and ideas for the podcast, or to become a guest on the show. End
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