Best Online Courses for Learning Machine Learning

Machine learning is a branch of Artificial Intelligence (AI) that deals with the design and development of algorithms that can learn from data.

The demand for Machine Learning skills is growing rapidly. The global market for machine learning is expected to grow from $12 billion in 2017 to $47 billion by 2022, according to research by MarketsandMarkets.

Machine Learning is an extremely powerful tool that has been widely used in many industries. It has been applied to areas like healthcare, finance, law enforcement, and even education.

Here are some of the best courses to learn machine learning online.

Best Online Courses to Learn Machine Learning

The 10 best online courses for learning machine learning are:

  • Udacity’s Intro to Machine Learning course
  • Google’s Machine Learning Crash Course
  • Andrew Ng’s Machine Learning course on Coursera
  • Stanford University’s Machine Learning course on Coursera
  • Johns Hopkins University’s Introduction to Data Science Course on Coursera
  • MIT’s Introduction to Computer Science and Programming with Python Course on edX
  • UC Berkeley’s Big Data Analysis with Scala and Spark Course on edX
  • UC San Diego Extension’s Python for Data Science Course on edX

EdX vs. Coursera vs. Udacity: Which One is Best?

The three major players in the MOOC space are Coursera, edX, and Udacity. All three of these companies offer different courses and degrees in a variety of subjects. There is no clear winner among these three companies.

Coursera is a for-profit company that offers many of their courses for free but charges a fee to get a certificate at the end of the course. They also offer paid degrees in subjects like business administration, computer science, and social sciences. Coursera has over 20 million users around the world.

edX is a non-profit organisation that partners with universities like MIT and Harvard to offer online courses from those schools for free to anyone who wants to take them. edX has over 11 million users around the world and offers online degree programs in subjects like computer science, business management, and biochemistry.

Udacity is a non-profit organisation that offers online degrees in computer science and other technical fields. Udacity has over 2 million users around the world.

Often times people ask, which is better for career Udacity or Coursera? Udacity offers a more detailed curriculum and career opportunities that would be unavailable to most people at Coursera. Udacity is also able to offer a more customised online experience with face-to-face mentoring, which helps students better understand the material they are learning.

Conclusion

Machine Learning is an area of Artificial Intelligence that is growing in popularity. It’s a branch of AI that deals with algorithms that can learn from data and make predictions. or decisions on their own.

Machine learning algorithms rely on training data to figure out patterns and make predictions. Training means that the machine will learn by looking at examples and deciding what is relevant, what is not, etc.

There are two types of machine learning algorithms: supervised and unsupervised. For an example of a supervised machine learning algorithm, we can look at spam filtering. You can train a spam filter to detect spam emails by showing it different emails and giving it instructions such as, what are the key words that this email contains?

Unsupervised algorithms do not need training data. These algorithms find patterns in the data themselves in some way and then make predictions from those patterns. For an example of unsupervised machine learning algorithm, we can look at image recognition. It is able to pick out specific images based on its own set of rules.

The best place to start learning Machine Learning is in the comfort of your own home with a free online course. It’s an interactive way to learn the basics and it doesn’t have any cost.

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