Breaking Into Machine Learning: A Guide To Launching Your Career Without A Degree

by Regenia Ring

Are you looking to set yourself apart in the Machine Learning job market? Learn how to think like an employer and gain the skills and projects employers value most with this guide! From selecting the best resources to learn programming and machine learning skills, identifying the types of projects that employers value, bringing unique ideas to the table, developing habits to make progress on projects, creating a framework to evaluate and improve your projects, finding and contacting companies that value real-world skills, and preparing for practical interviews, self-learners and degree holders alike can use this guide to strengthen their resumes with portfolio projects and land the job they want. With Emil Wallner's experience as a resident at Google working at the intersection of Machine Learning and Arts & Culture and his articles and products being read and used by millions that have been featured in Wired and Washington Post, this guide is the perfect resource for anyone wanting to stand out in the ML job market.

112 pages, Kindle Edition

Published March 30, 2023