Interested in Contributing? Read this
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data.
Why learn Machine Learning?
Machine Learning is one of the hottest topics in the Silicon Valley. In this age of Artificial Intelligence, many MNC’s are already using this technology. Many startups have become a million dollar company and they build their product or services following its ideologies. Predictive Analytics have consumed the internet in its entirety. Google has become a Machine Learning First company & Microsoft is also investing millions in AI reserach. See the following graphic to get the big picture of just how important knowing & learning this subject with respect to future prospects.
Okay I am convinced. What about jobs?
Don’t worry about the jobs. Look at the job trends in indeed.com for Machine Learning Engineer. See left graphic.
According to paysa.com The average Base Salary for Machine Learning Engineer is $117,828 per year, ranging from $87,123 to $150,589.
Wow! How can I become one?
Machine Learning is a difficult subject to master and requires quite a good deal of background knowledge and mathematics specially Statistics. But everything is easy if you have the commitment to work hard and have perseverance.
Nam Vu, A Vietnamese Software Engineer, who is passionate to work in US created a repository named machine-learning-for-software-engineers which is currently trending on Github with more than 7.4k stars. The aim of this repo is to provide a complete daily plan for studying to become a machine learning engineer. This contents are very well organized, it lists out the most common questions which frequently arise among ML beginners and also lists out the most helpful blog articles, MOOC courses, books tools etc. Check it out yourself and follow this guide to follow your passion.
A brief look at the Table of Contents
What is it?
Why use it?
How to use it
Don’t feel you aren’t smart enough
About Video Resources
The Daily Plan
Machine learning overview
Machine learning mastery
Machine learning is fun
Machine Learning explained to my girlfriend
Machine learning: an in-depth, non-technical guide
Stories and experiences
Machine Learning Algorithms
Kaggle knowledge competitions
Becoming an Open Source Contributor
My admired companies
Project Link: https://github.com/ZuzooVn/machine-learning-for-software-engineers
Machine Learning has great things to offer us. Choosing it as a career is definitely a great idea. Rather than being overwhelmed with the content, start slowly and follow along the guide. get in the community discuss and study. Good Luck!