How To Become A Machine Learning Engineer 15 Steps

Try learning multiple languages to make yourself a more appealing job candidate.

Intro to Descriptive Statistics from Udacity, which will teach you how to communicate information about data sets. Intro to Inferential Statistics from Udacity, which will teach you how to understand and analyze data sets. Getting and Cleaning Data from Johns Hopkins University, which will teach you how to obtain and optimize data sets. Feature Engineering for Machine Learning from Udemy, which will teach you how to process and manipulate data variables.

Machine Learning from Stanford, an introductory class focused on breaking down complex concepts related to the field. Learning from Data from Caltech, an introductory class focused on mathematical theory and algorithmic application. Practical Machine Learning from Johns Hopkins University, a class focused on data prediction. Deep Learning Specialization from Coursera, a class focused on creating neural networks.

Online Nanodegrees in computer science, engineering, and machine learning. A Certificate in Machine Learning from the University of Washington. An Artificial Intelligence Graduate Certificate from Stanford. A Certification of Professional Achievement in Data Science from Columbia University. A CSCI E-81 Machine Learning and Data Mining certification from Harvard. A traditional undergraduate or graduate degree in computer science or engineering.

So you don’t have to spend time collecting data, try using publicly available data sets from places like the UCI Machine Learning Repository and Quandl. [6] X Research source If you can’t come up with a project idea, look for inspiration on websites like GitHub.

To start out, try completing the beginner competition Titanic: Machine Learning from Disaster.

Look for relevant internships on websites like Internships. com.

Data Scientist AI Engineer Big Data Engineer Deep Learning Engineer.

If you completed any job-relevant personal projects, feel free to list them on your resume using short, sentence-long descriptions. If possible, include a link to the project so the company can see it.

Your cover letters should be no more than 3 paragraphs long.

Since machine learning positions are tech-based, expect to fill out most of your applications electronically. Before submitting your application, check it thoroughly for any spelling or grammar mistakes.

Some companies will fund your additional education, though others will require you to pay out of pocket for it.