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Top Machine Learning Courses


The best way to learn machine learning is through a hands-on course. There are plenty of free online courses available and they’re great for beginners. But if you want to move beyond just the basics, you’ll need to invest in one of these premium courses:


Coursera is a great place to learn machine learning. It has many courses, and they have some of the best people teaching machine learning. The community on the site is also very helpful in answering questions about how to approach certain problems or how to build models from scratch.

The course materials are also quite good, with plenty of examples that you can follow along with in your own research project or use as reference material when you’re building a model yourself.


Deep learning is a subset of neural networks that uses multiple layers to process data. It was first developed in the 1980s and has since been applied to many different tasks, such as recognizing images or speech, translating languages, analyzing medical images and more.

The deep learning specialization at [company name] takes one month to complete and requires a basic understanding of math, programming languages like Python or Scala (and their associated libraries), statistics & probability theory—and maybe even machine learning basics if you want an introduction into this new field!

The cost: $6200 per month (plus taxes). That’s quite expensive – but if you’re serious about your career path this might be worth investing in!


Microsoft Professional Program: Artificial Intelligence (20 courses)

In this program, you’ll learn how to use artificial intelligence to solve problems. You’ll start with an introduction to the field of AI and then explore topics such as machine learning and computational thinking. You’ll work in teams that tackle real-world challenges, like designing an app or creating a recommender system for movie recommendations. The course materials are provided online via videos, slideshows, assignments, and quizzes but also include hands-on coding projects using Python programming language.


Computer science is a broad field that covers everything from programming languages to data analysis. Machine learning is one of the most important subfields in computer science because it allows you to build systems that learn from data without being programmed by humans.

There are many different types of machine learning algorithms available, but they all share one thing in common: they can be used to solve problems by predicting or making decisions based on what happened in the past. For example, if you have data on how long it takes people who live near your office building to get home after work each day—and then use this information with some other variables (like their gender), you might be able time travel back into their lives!

Get a career in machine learning today

If you’re looking for a career in machine learning, there are many opportunities. The field is growing rapidly and there are plenty of jobs available for those who have the skills and experience necessary. Machine learning can be applied to many different fields including computer vision, natural language processing (NLP), pattern recognition and speech recognition, game design and AI research.

You’ll need to have a strong foundation in math or statistics before taking on this job—but once you’re ready to get started it will be easy money!


If you’re looking to get started with machine learning, I would recommend starting with the Coursera specialization. It will give you a good foundation in the field and prepare you for more advanced courses on Udemy or EdX.

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