9 Best Machine Learning Courses to Learn Online in 2022

Are you interested in learning Machine Learning? Well, this is the right place for you, where you will find the best high-quality training and courses for Machine Learning.

Our experts have reviewed a lot of courses and classes in order to pick this list of the Best Machine Learning Online Training, Courses for 2022. These resources are great to enhance your Machine Learning knowledge and skills and potentially earn a certification to boost your resume.

How We Pick the Best Online Courses to learn Machine Learning in 2022

We explored the top tier Online training and courses platforms like Udemy, Coursera, LinkedIn Learning, Pluralsight, Udacity, and more to find out which:

* Courses are the most comprehensive.

* Courses and classes that are getting the most positive reviews and ratings.

* Courses that have the largest number of students.

We Also checked the course instructor’s experiences and reviews, course duration, and other criteria. Then, after careful examination, we came up with this top list of Machine Learning courses online.

The following best online courses and trainings will help you to learn Machine Learning from the best instructors in the field, this can be clearly seen from the student’s reviews.

The list contains both free and paid best Machine Learning courses. some of them will provide you a completion certificate, which can be published on your LinkedIn profile and on your resume.

1- Machine Learning A-Z™: Hands-On Python & R In Data Science

Author: Hadelin de Ponteves

Description: Two Data Science experts will teach you how to create Machine Learning Algorithms. Code templates are included. This course is for people who are interested in machine learning. Two professional Data Scientists designed this course so that we can share our knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.

We will show you how to use machine learning. You will learn new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science with every tutorial.

Summary

Platform: Udemy
Language: English
Duration: 44 h 29m
158575 reviews

4.5

2- Python for Data Science and Machine Learning Bootcamp

Author: Jose Portilla

Description: Learn how to use machine learning, machine learning tools, and more. Do you want to become a Data Scientist? This course will teach you how to use the power of Python to analyze data, create beautiful visualization, and use powerful machine learning.

According to Indeed, the average salary of a data scientist in the United States is over $120,000. Some of the world’s most interesting problems can be solved with data science.

Summary

Platform: Udemy
Language: English
Duration: 24 h 54m
114572 reviews

4.6

3- Machine Learning, Data Science, and Deep Learning with Python

Author: Frank Kane

Description: Data science, artificial intelligence, and neural networks are included. Extra content on generative models has been updated. This data science course will show you how to use machine learning and artificial intelligence to extract meaning and insights from massive data sets. Data Scientists make an average salary of $120,000 according to Glassdoor and Indeed.

This course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry and prepare you for a move into this hot career path. Most of the topics include hands-on Python code examples you can use for reference and practice, as well as over 100 lectures and 15 hours of video. I have 9 years of experience at Amazon and I will guide you through what matters and what doesn’t.

Summary

Platform: Udemy
Language: English
Duration: 15 h 36m
27195 reviews

4.6

4- Data Science and Machine Learning Bootcamp with R

Author: Jose Portilla

Description: You can learn how to use the R programming language for data science and machine learning. According to Indeed, the average salary of a data scientist in the United States is over $120,000. Some of the world’s most interesting problems can be solved with data science.

The course is designed for beginners with no programming experience or experienced developers who want to make the jump to Data Science. This course is comparable to other Data Science bootcamps that cost thousands of dollars, but now you can learn all that information at a fraction of the cost. One of the most comprehensive courses for data science and machine learning on Udemy has over 100 HD video lectures and detailed code notebooks for every lecture.

Summary

Platform: Udemy
Language: English
Duration: 17 h 45m
14780 reviews

4.7

5- Machine Learning Specialization

Author: Emily Fox

Description: The University of Washington has a Specialization in Machine Learning. You will gain experience in major areas of Machine Learning through a series of practical case studies. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Summary

Platform: Coursera
Language: English
Duration: Approximately 7 months to complete
12173 reviews

4.7

6- Introduction to Machine Learning for Data Science

Author: David Valentine

Description: There is a primer on machine learning. The Backyard Data Scientist has a report for everyday people. The course was most recently updated in November.

We have over 20,000 students in over 160 different countries and I am touched by the overwhelmingly positive and thoughtful reviews. I’m excited to announce that I have created a real closed caption for all course material, so you can use them if you have a hearing impairment, or find it easier to follow long. I’ve got you covered.

Summary

Platform: Udemy
Language: English
Duration: 5 h 33m
11468 reviews

4.5

7- Mathematics for Machine Learning Specialization

Author: David Dye

Description: For a lot of higher-level courses in Machine Learning and Data Science, you need to brush up on the basics of mathematics, which you may have studied before in school or university, but which is not very intuitive.

This specialization aims to bridge the gap by getting you up to speed on the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.

Summary

Platform: Coursera
Language: English
Duration: Approximately 4 months to complete
11130 reviews

4.6

8- Artificial Intelligence Foundations: Machine Learning

Author: Doug Rose

Description: Machine learning is the liveliest area of artificial intelligence. Computers can learn new things without being programmed. They use statistics to better understand the amount of data we create.

Machines can classify images, sounds, and videos. They are able to answer our questions, discover new drugs, and even write songs. The definition and types of machine learning are reviewed in this course. You can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets. It’s finally possible to learn about some of the pitfalls of machine learning.

Summary

Platform: Linkedin
Language: English (English)
Duration: 1h 17m
2959 reviews

4.6

9- Intro to Machine Learning with TensorFlow

Author: Udacity Instructors

Description: Learn how to use machine learning techniques.

Summary

Platform: Udacity
Language: English
Duration: 3 months
479 reviews

4.7
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