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Follow on Google News | Hefin Rhys, Scientist at The Francis Crick Institute on Machine Learning with R, tidyverse,and mlrThis episode of HumAIn Podcast focuses on Machine Learning with R, the tidyverse,and mlr and is geared toward all audiences who want to learn how democratization of machine learning will drive tech innovation and expand AI applications
By: HumAIn Podcast The most recent episode featured Fernando Gomez Baquero of Jacobs Technion-Cornell Institute and explored How Founders Scale Products and Startups at Cornell Tech In this episode, Hefin Rhys shared remarks including: "There is this weird rivalry between which is better and proponents of R say that R is better. Proponents of Python say that Python is better and it can be fun and tongue in cheek sometimes, but I think it can also hurt people's learning sometimes. Because they will hear from someone that R is rubbish, only use Python. And then, they are missing out on some phenomenal data science tools" In May 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/ 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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