Machine Learning is a discipline of artificial intelligence (AI) which allows machines to learn and get better at the task. They are designed to perform with minimal or no human intervention. Take up one machine learning online course out of the several offered such as those highlighted in this article. These allow students to learn the introductory as well as the advanced level of this field. Firstly, take a look at these.
Machine Learning Online Course – Top 5:
Specifically, Coursera is the brainchild of Andrew Ng himself. Speaking about him, the first thing that reminds is the Stanford Engineering Everywhere program that was created as a part of his efforts. Indeed, the lectures by Andrew Ng are easy to understand and very interesting. Along with his lectures, he provides his students with study material used at Stanford. Andrew Ng’s courses are one of the most successful in the domain of machine learning. This course provides a broad introduction to machine learning: Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). What’s more? It has been rated 4.9 out of 5 by 78,883 people. Most say that it is a well-organized course which is excellent for beginners!
Similarly, Udacity’s Machine Learning Foundation Nanodegree will help you build a career in Data Analysis, Data Science, Machine Learning and AI. It will help you learn Python and Statistics. It consists of 4 projects and is perfect for beginners in the field. This program covers topics like Introduction to Programming, Descriptive Statistics, Linear Algebra, Inferential Statistics and Evaluation and Verification. The good news is that you don’t need prior programming experience for this course. Users say that the lessons are well-explained and the content is engaging.
From identifying trending news topics and building recommendation engines to ranking sports teams and plotting the path of movie zombies, this machine learning online course on edX additionally teaches models and methods which you can apply to real-world situations. The major perspectives covered in this course include probabilistic versus non-probabilistic modeling and supervised versus unsupervised learning. It is a 12-week course which is Free! However, you need to pay a fee if you want a verified certificate.
This course will help you create machine learning algorithms in Python and R. Through this course, you will learn to make accurate predictions and robust machine learning models. In fact, you will also build an army of powerful machine learning models and know how to combine them to solve any problem. Furthermore, it will be in great if you revise your high-school mathematics before you start this course. In fact, users say that it is a great introduction to the world of machine learning and the theoretical explanation is easy to understand.
This is a seven-month online course which has 130 hours of content and mentorship. It is, in other words, one-of-its-kind innovative online program that provides a structured learning framework. This course allows participants for effective learning and application of Machine Learning & Data Science concepts. The modules covered include statistical learning, python for machine learning, supervised learning, unsupervised learning, ensemble techniques, recommendation systems and featurization, model selection, not to mention, tuning also.
To conclude, in the past decade, machine learning has made a significant jump, right from personalized auto-prediction to self-driving cars! It is, therefore, no wonder that the machine learning industry is further capable of splendid growth. If a classroom program is getting difficult for you, then take up the aforementioned online courses to improve your knowledge of this field.
Found this article interesting? Take a look at The 6 most in- demand machine learning engineer jobs and how to get them