Here are the best machine learning courses online to guide you on an exploration of machine learning, through a practical, hands-on approach.
There's never been a more exciting time to learn about machine learning.
It's a science that powers a wide range of processes that we interact with everyday - everything from speech recognition on our cellphones to the medical diagnosis of diseases and treatment planning.
Here is a breakdown of the best machine learning courses online to guide you in your study of machine learning, whether you're a beginner, or you already have some experience in the field.
Not only will these courses teach you machine learning theory, they'll also give you an opportunity to sharpen your skills by working with real world datasets.
You'll discover why machine learning models are important, how to build them, and how to put everything together to make useful recommendations and predictions about future data.
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Here are the best machine learning courses to enroll in online this year:
Over 3 million students have already enrolled in this highly-rated course on machine learning by Stanford University.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. It is taught by Andrew Ng, the founder of DeepLearning.AI and one of the co-founders of Coursera himself!
You'll learn about the theoretical foundations of learning, effective machine learning techniques, and some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
Course Syllabus:
As you progress through the course, you'll learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Key course features:
Shareable Certificate
100% online
Flexible deadlines
Approx. 60 hours to complete
=> Enroll in the Stanford Machine Learning online course here.
Machine Learning: Algorithms in the Real World is a four-part specialization course offered by the Alberta Machine Intelligence Institute (Amii).
Whether you're a professional in finance, medicine, engineering, or another domain, this course will show you how to apply machine learning to data analysis and automation, with the end goal of creating a successful machine learning application.
You will learn to:
Program Syllabus:
Before taking this machine learning course, it's recommended that you have a background in analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming.
Overall, this course will enhance your ability to clearly define a machine learning problem, train a classification algorithm, mitigate common machine learning pitfalls, and deploy your project in the real world.
Key course features:
Shareable Certificate
100% online courses
Flexible Schedule
Intermediate Level
Approximately 4 months to complete
=> Enroll in the Machine Learning: Algorithms in the Real World course.
Machine Learning A-Z™ is the most popular machine learning course on Udemy, taught by Kirill Eremenko and Hadelin de Ponteves, two data science experts.
This course is designed to help you learn complex machine learning theory, algorithms, and coding libraries in a simple way.
You will learn to:
Course Syllabus:
Key course features:
=> Enroll in the Machine Learning A-Z™ online course here.
Machine Learning has a reputation for being one of the most complex areas of computer science, requiring advanced mathematics and engineering skills to understand it.
However, given its prevalence and the power it has to revolutionize virtually every area of human life and work, machine learning is an area that everyone should understand, at least at a basic level.
This machine learning course by the University of London presents machine learning concepts in a format that is easily digestible, even if you don't have any background in math or programming.
By the end of the course, you'll be able to:
Course Syllabus:
In this course, you will have the opportunity to complete an exciting project where you train a computer to recognize images, using user friendly tools developed at Goldsmiths, University of London.
Overall, this is one of the best machine learning courses for beginners. It is suitable for people who want to start a technical career in machine learning, as well as individuals who just want to learn more about one of the most interesting areas of technology at the moment.
Key course features:
Shareable Certificate
100% online
Flexible deadlines
Beginner Level
=> Enroll in the Machine Learning for All online course here.
In this course by The University of Washington, learners will gain applied experience in major areas of machine learning including Prediction, Classification, Clustering, and Information Retrieval.
Through a series of practical case studies, you will learn to analyze large and complex datasets, create systems that improve over time, and build intelligent applications that can make predictions from data.
Program Syllabus:
Key course features:
Shareable Certificate
100% online courses
Flexible Schedule
Intermediate Level
=> Enroll in this Machine Learning Specialization course here.
This online course on machine learning focuses on the Bayesian framework and A/B testing in Python.
A/B testing is all about comparing things.
If you’re a data scientist in a company and you want to make a claim that logo A is better than logo B, you have to back it up using numbers and statistics.
This course will walk you through traditional A/B testing in order to help you appreciate its complexity, and then you will explore an entirely different way of thinking about probability via Bayesian Methods.
In the course, you will:
Here are the suggested prerequisites for this machine learning course:
Key course features:
=> Enroll in the Bayesian Machine Learning in Python course here.
If you'd like to go even further in your study of machine learning and earn a widely-recognized credential to boost your career, this professional certificate offered by IBM is for you.
This online certificate program will help you develop the skills and experience to pursue a career in machine learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning.
Through a series of 6 courses, you'll be provided with solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to machine learning.
You'll also get to explore special topics that complement your learning, including Time Series Analysis and Survival Analysis.
Program Syllabus:
The machine learning courses included in this program will provide you with an interactive, hands-on experience. You will follow along and code your own projects using some of the most relevant open source frameworks and libraries.
Although it is recommended that you have some background in Python programming, statistics, and linear algebra, this program is suitable for anyone who has basic computer skills and the willingness to learn!
Key course features:
Shareable Certificate
100% online courses
Flexible Schedule
Intermediate Level
Approximately 6 months to complete
=> Enroll in the IBM Machine Learning Professional Certificate here.
Thanks for checking out this post on the best machine learning courses currently available online. I hope you were able to find a course that suits your particular learning objectives and interests.
These courses will take you out of your comfort zone. Not only will you get more confident with machine learning theory, you'll also gain experience working with the exact techniques and frameworks that data scientists use to solve problems everyday.
You can then use this knowledge for your personal projects, professional endeavours, or to enhance your business strategy.
The options are endless.
Happy learning!
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