5 Machine Learning Courses Available for Free

Machine learning, according to Expert Systems, is the application of artificial intelligence (AI) to automatically learn and improve from experience without being explicitly programmed. In simple words, ML focuses on the development of computer programs that can access data and use it to learn for themselves. Since AI is the technological future, and we are somewhat free due to Coronavirus, I have compiled a list of 5 such machine learning courses that you can finish before May 17.

If you are still wondering why you should take up Machine learning courses, read this.

How does Machine Learning help an individual?

I, recently, went through a comic strip. First, I found it funny, and then it raised my eyebrows. Is Machine Learning so important for budding Tech Scientists and AI developers? Well, you should be the judge. Because Machine Learning courses are not just about being a software engineer. It also helps to develop Analytical Skills.

Top Free Machine Learning Courses

1. Coursera

Many people have considered the ML Course on Coursera as one of the best courses available online. It covers topics like supervised learning, best practices, parametric and non-parametric algorithms, clustering, dimensionality reduction and innovation in ML and AI. You will learn along with case-studies and host applications. while you also get to encounter numerous case studies and applications among a host of other things. It is currently available for free, but if you want a certificate, you need to pay for it.

The duration of the class is almost 55 hours, and it is also self-paced. You can interact with peers in a community of like-minded learners from all levels of experience. You can sign up for the course here.

2. Udemy

Udemy offers paid as well as free courses for beginners as well as experienced people. The free course offers step-by-step Data Science concepts. The course is packed with practical exercises based on real-life examples. So it theory plus hands-on practice. And as a bonus, this course includes both Python and R code templates which you can download and use on your projects. The course spans for almost 8 hours. Enrol in the free course here.

Alternatively, its paid course is also one of the best machine learning courses available online. It costs only INR 360 (USD 4.8). The course spans for 42 hours. It has 46 articles and 19 downloadable resources. You can access the content for a lifetime and get a certificate. You can enrol in the paid course here.

3. edX

The introductory course of edX on Machine learning is in terms with Harvard University. It is a self-paced course that spans for almost 30 hours. In this course, you will learn the basics of machine learning and how to perform cross-validation to avoid overtraining. It will also include several popular machine learning algorithms and how to build a recommendation system, and the use of regularization.

The course is free to learn, but you can add a certificate to your resume with USD 49 (3700 INR). Enrol in the course here.

4. Datacamp

The beginners' course at Datacamp provides an interactive base to ML. If you know R programming and statistics but not ML, you should look at this course. The first module, that provides the basics, is free. You will be able to look into the applications and common problems. In addition to this, you will focus on the three basic techniques and train and assess ML models. You can learn to train and assess models performing common machine learning tasks such as classification, regression and clustering. The latter three are paid.

The course spans over 6 hours and you get credits for passing every chapter. Enrol in the free course here.

5. Google

Google has a bunch of ML courses that you can learn anytime, anywhere. But here is one course that, I think, is a one-point solution. It is a crash course that features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. It even consists of real-world case studies and interactive visualizations of algorithms in action. This course helps in putting machine learning, neural network technology to work as data analysts, data scientists or machine learning engineers.

It has over 30 exercises in 25 lessons. The total course spans for almost 15 hours. Enrol in the free course here.

Choose any, and let us know how it went.