At the end of the day, the value of any Machine Learning Engineer rests on their ability to describe the world and to make predictions. One thing required of you to become a Professional is finding a Good Mentor and Nurturing Genuine Curiosity about it.
Machine Learning offered by Stanford 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 is Created by an AI Pioneer - Andrew Ng and is rated 4.9 out of 5 of 81,708 ratings.
Keep in mind that as you professionally begin your journey in Machine Learning, you’ll have to build Solid Basis in Statistics, Algebra, Applied Mathematics, and Practice Python or R using all the important ML Libraries like scikit-learn, TensorFlow, Numpy, Keras, Theano and more.
Check this Section on Best Machine Learning Tutorial, Courses, and Specialization.