The demand for Machine Learning Engineers and Research Scientists is exploding. I have put a tremendous amount of efforts with my colleagues and course providers to come up with this compilation of Best Machine Learning Courses ( ⬅ originally published here) and Specialization which a motivated individual could use as a springboard for a rewarding and lucrative career in the field of Machine Learning.
If you are a beginner, i have got you covered in this article about A Beginner's Guide to Machine Learning with Python in 2019.
First off, I want to highlight that Mathematics is exceedingly important for machine learning, so if you need to tighten your grips on the basics or advanced concepts, i’ve got your covered in this piece about the Math for Machine Learning.
1. Machine Learning Engineering Career Track — Job Guarantee
This intensive machine learning engineering career track—the first with a job guarantee—will equip you to transition into a role as a machine learning engineer. The extensive curriculum was curated by machine learning experts with experience at companies like Airbnb and Intel.
By the end of the program, you’ll have designed a machine learning system, built a prototype, and deployed an application that can be accessed via API or web service.
This AI/Machine Learning Career Track was designed for people with a background in software engineering. It’s a self-guided, mentor-led, career-focused bootcamp complete with a job guarantee. If you don’t find a job within 6 months of graduating, you'll receive a refund for your tuition.
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2. Machine Learning Offered by Stanford - Highly Recommended
This is one of the best and highly recommended courses on Machine Learning across the internet. Created by Artificial Intelligence Pioneer - Andrew Ng, Co-Founder of Coursera, Landing AI and Adjunct Professor at Stanford University.
In this course, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
User Rating: Rated 4.9 out of 5 of 81,708 ratings
This course is the perfect place for beginners to understand the core idea of teaching a computer to learn concepts using data without being explicitly programmed. This course provides an in-depth introduction to Machine Learning, helps you understand statistical modeling and discusses best practices for applying Machine Learning.
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3. Introduction to Machine Learning with R - (DataCamp)
This course from DataCamp will help you in learning the true fundamentals of Machine Learning and experiment with the techniques. Created by Vincent Vankrunkelsven, A DataCamp Instructor with Masters in AI and Gilles Inghelbrecht, A Doctoral Student with Degree in Fundamental Mathematics and a solid background in Classical Statistics.
This course will help you gain a firm understanding in training of different machine learning models and learn three of the most basic machine learning tasks: classification, regression, and clustering.
DataCamp is a time flexible, online Data Science learning platform offering tutorials and courses in Data Science, Machine Learning AI and more. This course is for anyone with a solid basis in Statistics and R Programming. By the end of this course, you'll have a basic understanding of all the main principles.
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4. Understanding Machine Learning with Python - (Pluralsight)
This course on Machine Learning with Python will equip you to understand the concepts of using data to predict future events. This course is Created by Jerry Kurata, Technology Expert and best selling author of Machine Learning and Deep Learning Courses on Pluralsight and Coursera.
In this Course, you will learn to build predictive models and use Python to perform Supervised learning with scikit-learn.
User Rating: Rated 4.9 out of 5 of 382 ratings
This Machine Learning Tutorial is right for you if you’re new to Machine Learning and have some Python programming experience. This course will hone your Machine Learning craft in sckit-learn, the most powerful ML library used by every Machine Learning Engineer and Data Scientist.
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This “Machine Learning A-Z“, provides a great introduction to Machine Learning and teaches difficult to understand algorithms and getting on grips with scikit-learn and few other packages.
If you are a beginner with only basic knowledge of Python for Data Science or R programming and some high-school level knowledge of Math, then this course is perfect place to bootstrap your motivation to dive deep in Machine Learning.
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9+ Best Machine Learning Courses from the World-Class Educators/ Instructors.
In addition to the courses listed in this post, you can check this compilation of Intermediate Level and Advanced Machine Learning Courses compiled according to student reviews, course outline and difficulty level.
If you cannot afford to pay for a course, check this piece on Free Machine Courses.
So that was our take on the Best Machine Learning Courses and Tutorials which we hope puts you in the fast lane in the field of Machine Learning.
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