ML is quickly becoming one of the most significant areas of computer science with a wide array of fields of use. Generally, it becomes imperative that one has to update oneself time and again to be in par with the competitors. Fortunately, today there is nothing surprising in the availability of numerous resources, both on the Web and in social networks, aimed at learning machine learning at different levels – from basic to rather profound. Here are the ten resources that’ll help you become an ML master without ever leaving the house: 

1. Coursera 

Among the well-known sites there is Coursera which presents the courses of the most famous universities and companies all over the world. Its Machine Learning with Andrew Ng from Stanford University – is considered to be one of the most valuable courses that must complete anyone who wants to become an ML specialist. 

2. edX 

Another good company is edX, which offers programs by such universities as MIT and Harvard. You can try MIT’s version of the MOOC “Introduction to Machine Learning”; and other advanced courses, which focus on the advanced topics like deep learning and data science. 

3. Udacity 

Machine Learning is also offered by Udacity as a Nanodegree, and this is flexible in that you get to do practical projects in order to have practical experience. This one suits those who would wish to change careers and have interests in working in AI and machine learning. 

4. Kaggle 

Kaggle is not only a place for obtaining the knowledge but also a place for practicing. It has many datasets and competitions which enable to practice what was learned in real-life situations. They have a ‘Learn’ section that is completely free and it takes potential customers through basic concepts such as Python programming all the way to the advanced concepts involved in ML. 

5. MindStick Training 

All these courses make MindStick Training perfect to anyone seeking to learn as they practice at the same time. It as a pool of courses developed by industry experts which in addition to explain the theoretical knowledge also give practical exposure through projects.

6. DataCamp 

For instance, DataCamp targets data science and machine learning. Their courses are not theoretical; they are practical and often involve problem solving. Indeed, no matter whether you are interested in Python, R or SQL, you will find what you need in DataCamp. 

7. Pluralsight 

Pluralsight has a wide range of technology and creative courses some of which are organized in a systematic manner such as the path toward machine learning. It is a good spot if you wish to find out some concrete tools such as TensorFlow or need to figure out what is AI ethics. 

8. Fast. ai 

Fast. ai has an impressive free course on deep learning. Their approach is hands-on from the very start, which must be one of the reasons it is one of the quickest ways to start gaining practical experience in machine learning. 

9. LinkedIn Learning 

LinkedIn Learning offers a good number of machine learning classes that can be useful for working professionals. Their courses also come with certificates that may be attached to your LinkedIn profile and thus may be very important if one wants to upgrade his unit or get a new job. 

10. YouTube 

There is no shortage of excellent free content on YouTube if you want to learn machine learning. Shows like StatQuest with Josh Starmer and Sentdex give expressions of topics and their relationship in an easy to understand manner. These are perfect should you want to refresh old content quickly or even get into new topics you’ve not covered yet. 

Conclusion 

Thanks to the massive availability of information on the internet, learning machine learning could not be easier. They contain detailed and practical courses that can be helpful if you are an initial stage person as well as if you want to improve your skills. Hey, all barbers out there, the best of luck in your endeavors to sharpen the craft – practice makes perfect and it’s always best to stay ahead of the trends! 

As you will have noted, this blog is aimed at preparing you for the best resources currently available online, for mastering on machine learning. Happy learning!