15 Best Machine Learning Courses To Take on Udemy [2020]

15 Best Machine Learning Courses To Take on Udemy [2020]

Machine learning is a subset of artificial intelligence that studies how computer systems can perform a specific task without using explicit instructions, relying on patterns and inference instead.

In this article we are going to look at the best machine learning courses on Udemy to take in 2020.

These top machine learning courses on Udemy will teach you everything you need to know to get started with Machine Learning.

Here are the 15 best Machine Learning courses to take in 2020.

CourseStudents
1. Machine Learning A-Z™: Hands-On Python & R In Data Science665,550
2. Python for Data Science and Machine Learning Bootcamp364,762 
3. Machine Learning, Data Science and Deep Learning with Python129,265 
4. Data Science and Machine Learning Bootcamp with R58,492 
5. Introduction to Machine Learning for Data Science36,631 
6. Scala and Spark for Big Data and Machine Learning24,762 
7. Bayesian Machine Learning in Python: A/B Testing20,719 
8. Unsupervised Machine Learning Hidden Markov Models in Python20,035 
9. Machine Learning with Javascript19,243 
10. Data Science: Supervised Machine Learning in Python15,699 
11. 2019 AWS SageMaker and Machine Learning – With Python15,088 
12. A-Z Machine Learning using Azure Machine Learning (AzureML)14,586
13. Machine Learning Practical: 6 Real-World Applications12,783 
14. Ensemble Machine Learning in Python: Random Forest, AdaBoost10,886 
15. Deployment of Machine Learning Models10,757 

Below, I have written a brief summary of what each of these top Machine Learning coursesis about, what you’ll learn at the end of each course and who the course is best suited for.

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

This is the best machine learning course to take if you are interested in the field of machine learning.

By taking this machine learning Udemy course you’ll get to learn complex theory, algorithms and coding libraries in a simple way.

The instructor will walk you step-by-step into the world of machine learning as you develop new skills and improve your understanding with every tutorial.

This machine learning course is packed with practical exercises which are based on real-life examples.

So not only will you learn the theory, but you will also get some hands-on practice building your own models by taking this top rated machine learning course.

2. Machine Learning, Data Science and Deep Learning with Python

This is one of the best machine learning courses that will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry.

This comprehensive machine learning tutorial includes over 100 lectures spanning 13 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice.

Each machine learning concept is introduced in plain English, avoiding confusing mathematical notation and jargon.

It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. 

This is the best machine learning course for you if you are a software developer who wants to transition into the lucrative machine learning career path.

3. Introduction to Machine Learning for Data Science

Unlock the secrets of understanding machine learning for data science by taking this best machine learning course in 2020

In this introductory course for machine learning, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. 

This introductory course explains why machine learning is important now, and how machine learning it will dramatically change our world today and for days to come.

You’ll then explore the past and the future while touching on the importance, impacts and examples of Machine Learning for Data Science.

The final section of this course for machine learning will prepare you to begin your future journey into Machine Learning for Data Science.

Take this course if you’re interested in understanding how machine learning is used for data science.

4. Unsupervised Machine Learning Hidden Markov Models in Python

Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you’re going to default.

In short, sequences are everywhere, and being able to analyze them is an important skill in your data science toolbox.

Read also:
10 Best Statistics Courses and Tutorials to Take in 2019
10 Best SQL Courses and Certifications to Take in 2019

This is one of the best machine learning courses in 2020 that will introduce you to a machine learning algorithm that has been around for several decades now called the Hidden Markov Model.

In this machine learning course, you’ll learn to measure the probability distribution of a sequence of random variables.

You will go into Theano and Tensorflow, which are popular libraries for deep learning in this top machine learning course.

And finally you’ll discuss even more practical applications of Markov models to explain how DNA, the code of life, is translated into physical or behavioral attributes of an organism.

This is one of the top machine learning courses for students and professionals interested in DNA analysis and gene expression.

5. Bayesian Machine Learning in Python: A/B Testing

A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.

In this machine learning Udemy course, while you will do traditional A/B testing in order to appreciate its complexity, you will eventually get to is the Bayesian machine learning way of doing things.

This machine learning course in 2020 will teach you how to improve on traditional A/B testing with adaptive methods. These all help you solve the explore-exploit dilemma.

You’ll learn about the epsilon-greedy algorithm, which you may have heard about in the context of reinforcement learning.

Take this machine learning tutorial on Udemy if you have a technical background and want to learn Bayesian machine learning techniques to apply to your data science work.

6. Machine Learning with Javascript

If you’re here, you already know the truth: Machine Learning is the future of everything.

This is one of the best courses for learning machine learning if you want to be prepared to enter and understand any sub-discipline in the world of Machine Learning.

Besides, machine learning with Javascript is just plain easier to learn than with Python. 

Rather than being limited to deploying Python code on the server for running your ML code, you can build single-page apps which can give you the possibility of developing a completely novel use case.

This is machine learning training will teach you the exact math and programming techniques that are used in the most common ML algorithms. 

7. Ensemble Machine Learning in Python: Random Forest, AdaBoost

Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.

Machine learning is embedded into all sorts of different products, and it’s used in many industries, like finance, online advertising, medicine, and robotics.

In this top rated machine learning course on Udemy you’ll study ways to combine models like decision trees and logistic regression to build models that can reach much higher accuracies than the base models they are made of.

In particular, you will study the Random Forest and AdaBoost algorithms in detail in this best machine learning course in 2020.

8. 2019 AWS SageMaker and Machine Learning – With Python

AWS Machine Learning Service is designed for complete beginners.   

In this top rated course for learning machine learning, you will learn three popular easy to understand linear algorithms from the ground-up.

Along the way, you will gain hands-on knowledge on complete lifecycle – from model development, measuring quality, tuning, and integration with your application.

By taking this course you will gain hands-on model development experience on very powerful and popular machine learning algorithms like XGBoost – a gradient boosted tree algorithm that has won several competitions.  

At the end of this machine learning training in 2020, you’ll have gained hands-on experience in ready-to-use Vision service for image and video analysis.

9. A Beginner’s Guide To Machine Learning with Unity

What if you could build a character that could learn while it played?  This is what machine learning in games is all about.

In this machine learning course, you will discover the fascinating world of artificial intelligence beyond the simple stuff and examine the increasingly popular domain of machines that learn to think for themselves.

Read also:
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11 Best Machine Learning Courses and Certifications in 2019

The instructor of this course introduces the popular machine learning techniques of genetic algorithms and neural networks using her internationally acclaimed teaching style and knowledge from a Ph.D in game character AI.

Throughout this course for machine learning, you will follow along with hands-on workshops designed to teach you about the fundamental machine learning techniques.  

By the end of this machine learning training course, you’ll have a well-equipped toolset of basic and solid machine learning algorithms and applications, that will see you able to decipher the latest research publications and integrate the latest developments into your work.

10. A-Z Machine Learning using Azure Machine Learning (AzureML)

Machine Learning is one of the hottest and top paying skills. It’s also one of the most interesting field to work on.

In this Machine Learning using Azure Machine Learning course, you will make it even more exciting and fun to learn, create and deploy machine learning models.

This top rated machine learning course on Udemy will help you prepare for the entry to this hot career path of Machine Learning.

With more than 80 lectures and is over 11 hours in content, you’ll get sufficient learning materials to go through the details of Data Science and Machine Learning along with its implementation.

Azure Machine Learning Studio is a great tool to learn to build advanced models without writing a single line of code using simple drag and drop functionality. 

11. Machine Learning Practical: 6 Real-World Applications

Most machine learning courses on Udemy just discuss the underlying theory of Machine Learning without going any deeper into the applications.

This is one of the best machine learning courses in 2020 that will teach you how to apply all of the theory and knowledge to real life Machine Learning challenges.

In this machine learning practical course you will demystify how real Data Science project looks like. Time to move away from these polished examples which are only introducing you to the matter, but not giving any real experience.

If you are still dreaming where to learn Machine Learning through practice, where to take real-life projects for your CV, how to not look like a noob in the recruiter’s eyes, then this is the best machine learning tutorial for you.

This course provides a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science.

Data is the lifeblood of most, if not all business today.

In fact, making data-driven decisions increasingly make the difference between keeping up with competition or falling further behind.

So machine learning is the key to unlocking the value of corporate and customer data and enacting decisions that keep a company ahead of the competition.

Why not give your career a head start by picking some machine learning skills in 2020…

Have you take any of these top machine learning tutorials on Udemy?

What was your experience?

Please share your thoughts in the comments below.

Lerma Gray

Hey, I’m Lerma, a mobile app developer with experience in Xamarin and React Native. I also double in as a freelance tech writer and blogger during my free time. On this blog, I share my experience about mobile app development.

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