Machine learning engineers any path or resources that you would recommend to someone who wants to begin a career in ML.
Machine learning is a big field and you may want to start with some basic linear algebra, probability, stats. Also take a intro to ML course of of edx or something. Also do Kaggle
Read Deep Learning with Python, written by the creator of Keras. Genuinely a pretty good read.
Do you have a link or the author name?
Francois Chollet
First of all I would focus on either big data and general algs like random forests and svms OR deep learning. Doing both will let you a bunch of knowledge that won't have much overlap in the other domain. I personally focus on deep learning. Second set of advice would be to start with and interesting problem that is solved well by ML and then work your way backwards to learning the source material. Check out ASR, TTS, image classification, MT, Forecasting or something similar but choose a single topic. Then read the papers for that topic and try your own implementation. Often SOTA algs really only take 3 or 4 read through of papers and open source implementations before you figure the concepts out.
Honestly? Get a Masters. The field is not what it was 3 years ago, it is pretty hard to cowboy your way into these days
I’m currently in my final year software engineering but I feel like school is wasting my time. I would be better off learning it on my own than to do a masters
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ISLR
What’s it
Introduction to statistical learning book. It's a free PDF available online and one of the best books to get started with ML