Enroll now in one of Udemy's machine learning courses ranging from beginner to advanced courses taught by industry experts. Are you intrigued by the idea of machine learning? Maybe you've applied core concepts in the workplace and want to take your artificial intelligence expertise to a higher level. An online machine learning course can equip you with the tools needed to understand the basics or accelerate your career. Take a quick look at Benzinga's top picks: Keep the following considerations in mind as you explore machine learning course options and choose the right one for you.
Jeremy Howard goes super practical on the missing piece in Ng's course covering a topic that is, for many classical problems, the best solution out there. Fast.ai's approach is what is called Top-Down, meaning they show you how to solve the problem and then explain why it worked, which is the total opposite of what we are used to in school. Jeremy also uses real-world tools and libraries, so you learn by coding in industry-tested solutions. The reason why we are all here, Deep Learning! Again, the best resource for it is Professor Ng's course, actually, a series of courses.
As you all know, Prof. Ng has a new specialization on Deep Learning. I wrote about the course extensively yet informally, which include two "Quick Impressions" before and after I finished Course 1 to 3 of the specialization. I also wrote three posts just on Heroes on Deep Learning including Prof. Geoffrey Hinton, Prof. Yoshua Bengio and Prof. Pieter Abbeel and Dr. Yuanqing Lin . This is my full review of Course 1 after finish watching all the videos. I will give a description on what the course is about, and why you want to take it.
Stanford's Machine Learning course taught by Andrew Ng was released in 2011. This has become a staple course of Coursera and, to be honest, in machine learning. As of this article, it has had 2,632,122 users enroll in the course. That is just enrolled in, but unknown if they have finished. It is estimated that 1% – 15% of users who start complete the course.
Andrew Ng's five courser aims to give newbies and practitioners a crash course on all things deep learning – from fully connected neural networks to convolutional nets to sequence models. I've taken all five courses, and completed four. For some more online course recommendations, check out the best online courses to get started with data science. The first course in the specialization focuses on the building blocks of deep learning. It goes over logistic regression interpreted as a one-layer network, shallow networks, and finally deep networks as stacked shallow networks.