EPISODE · May 13, 2018 · 12 MIN
AI for Resumes
from Siraj Raval
Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment. Code for this video (with midterm): https://github.com/llSourcell/AI_for_Resumes Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/ https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description https://www.slideshare.net/zainulsayed39/218-intelligent Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
What this episode covers
Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment. Code for this video (with midterm): https://github.com/llSourcell/AI_for_Resumes Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/ https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description https://www.slideshare.net/zainulsayed39/218-intelligent Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
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AI for Resumes
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