Step into the future of technology and learn everything you need with the help of our Best Free Machine Learning Courses. You can learn, master, and get certified as well which you propel your career forward.

Key Takeaways

• Access to the list of Best Free Machine Learning Courses.
• Opportunity to gain valuable machine learning skills and knowledge.
• Earn certificates of completion to boost your resume.

What are the best free machine learning courses with certificates?

This list of Best Free Machine Learning Courses gives you in-depth knowledge and practical skills. With that, the certificates of completion validate your learning and enhance career opportunities in this cutting-edge field.

• Best + Free Machine Learning Courses with Certificates
  • Machine Learning by DEEPLEARNING.AI
  • Best Machine Learning Fundamentals Course
  • Machine Learning with Python: A Practical Introduction
  • Big Data: Statistical Inference and Machine Learning
  • Free Machine Learning Courses by fast.ai
  • Mathematics for Machine Learning Courses
  • Data Science: Machine Learning Course
  • Artificial Intelligence and Machine Learning for Business
  • Machine Learning in Production
  • Machine Learning Engineer Professional Certificate by Google
  • Classical Machine Learning for Financial Engineering

Machine Learning Courses Evaluation & Selection Criteria

Our experts carefully curate the list of Best Free Machine Learning Courses with Certificates. Each course is selected based on factors like depth and breadth of content, instructor qualification, learner reviews, and the practical value of the certification offered. This careful selection process makes sure that our recommendations are authoritative. Also, these recommendations empower learners with the skills and knowledge they need to excel in this rapidly evolving field of machine learning.

Best + Free Machine Learning Courses with Certificates

Below you can find names and short description of the 11 Best + Free Machine Learning Courses with Certificates.

Supervised Machine Learning: Regression and Classification

• • • DeepLearning.AI via Coursera
    • 417,843+ already enrolled!
    • ★★★★★ (13,057 Ratings)

Do you wish to learn the different yet effective machine learning techniques from the comfort of your home? In this course, you will get to practice implementing all such techniques without getting over whelmed.

• The best thing about this course is its focus on not only theoretical underpinnings but also help you gain practical know-how that is required for applying all such techniques to new problems.
• This course is extremely beneficial for those who want to learn to apply learning algorithms in building smart tools and text understanding.

Best Machine Learning Fundamentals Course

• • • UCSanDiego via edX
    • 8-10 hours/week (10 weeks) of effort required!
    • Course Type: Self-paced

This is a type of course that aims to help you understand machine learning’s role in a variety of areas. This includes data-driven modeling, decision-making, and prediction etc. You will understand how to classify images and identify how to capture structure of words.

• The best thing about this course is that it helps learners understand a variety of both supervised and unsupervised learning algorithms and even then theory that is behind them.
• This course has been found out to be suitable for those who wish to learn to exploit data for creating simple predictive models of the world.

Machine Learning with Python: A Practical Introduction

• • • IBM via edX
    • 4-6 hours/week (5 weeks) of effort required!
    • Course Type: Self-paced

This is a type of course that will give you everything you need to understand all about supervised and unsupervised learning.

• The best thing about this course is its focus on explaining how statistical modeling is related to machine learning and how it can be compared. With that, the course also uses real-life examples to make learners understand the different ways of machine learning.
• This course is suitable for those who want to learn to transform their theoretical knowledge into practical skills through hands-on labs.

Looking to enhance your expertise? Check out our comprehensive guide to Neural Networks Courses with Certificates.“

Big Data: Statistical Inference and Machine Learning

• • • QUT via FutureLearn
    • 34,421+ already enrolled!
    • 2 hours/week (3 weeks) of effort required!

A very engaging course that will help you understand how to apply selected statistical and machine learning techniques in analyzing big data. You will understand the relationship between statistical inference and machine learning in detail. Explore our dedicated page for Machine Learning Course Listings, where you’ll find a comprehensive directory of courses covering various aspects of machine learning.

• The best thing about this course is that it gives a detailed overview of the most popular methods which are being used in the relevant field.
• This course us suitable for those who want to understand the practical application of modern analysis tools like R Studio and H2o. Check out the Best MATLAB Courses with Certificates here.

Free Machine Learning Courses by fast.ai

• • • via fast.ai

This course is going to explain all about deep learning for coders in an engaging manner. You will get to understand the foundations of deep learning from scratch.

• The best thing about this course is its focus on computational Linear Algebra and introduction to natural language processing.
• This course is suitable for all those who wish to understand the basics of Machine Learning in detail.

Mathematics for Machine Learning Course

• • • Imperial College London via Coursera
    • 266,433+ already enrolled!
    • ★★★★★ (10,296 Ratings)

A very engaging course that aims to help you understand what linear algebra actually is and how it is related to vectors and matrices. Starting the course, you will get to understand all about it and how to work with them.

• The thing that makes this course our choice is its focus on explaining the Knotty problem of eigenvalues and eigenvectors. You will also learn to use these both for problem solving purpose.
• This course is suitable for those who want to gain an intuitive understanding of what vectors and matrices are.

More Machine Learning Courses with Certificates

Data Science: Machine Learning Course

• • • Harvard University via edX
    • 2-4 hours/week (8 weeks) of effort required!
    • Course Type: Self-paced

Want to learn all about the very popular machine learning algorithms in detail? In this course, not only will you understand the principal component analysis but regularization as well with the help of building a movie recommendation system.

• The best thing about this course is its focus on explaining what training data is and how to use a particular set of data for discovering potentially predictive relationships.
• This course is suitable for all those who want to learn to train algorithms and build recommendation system.

Artificial Intelligence and Machine Learning for Business

• • • Sungkyunkwan University via FutureLearn
    • 1,002+ already enrolled!
    • ★★★★★ (9 Ratings)

In this course, you will get a chance to understand how predictive models can be used for helping businesses use data and then identify the risks. You will learn all the techniques required for driving revenue.

• The best thing about this course is that it will help you identify the techniques like machine learning and data mining for becoming a data-entered project manager.
• This course has been found out to be suitable for all the aspiring managers out there who wish to align their understanding of business and technical solutions. Or those who want to learn to lead comprehensive business solutions.

Machine Learning in Production

• • • DeepLearning.AI via Coursera
    • 26,276+ already enrolled!
    • ★★★★★ (1,105 Ratings)

This “Machine Learning in Production” course is going to help you understand the key components of the ML life cycle in detail. Here you will get to understand all about the ML modeling iterative cycle and the product deployment cycle in detail.

• The best thing about this course is that it helps you understand how to solve problems for structured and unstructured, small and big data. You will also understand why label consistency is important.
• This course is suitable for all those people out there who wish to get a complete overview of ML life cycle and deployment.

Machine Learning Engineer Professional Certificate by Google

• • • Google Cloud via Coursera
    • 11,354+ already enrolled!
    • ★★★★★ (780 Ratings)

Do you want to learn the skills required for becoming a successful machine learning engineer? In this course, you will get to understand the role of a machine learning engineer in detail. You will learn to design, build, and productionalize ML models in detail.

• The best thing about this course is its focus on preparing learners for the Google Cloud Professional Machine Learning Engineer Certification exam.
• This course is suitable for those who wish to gain skills required for advancing one’s career and get support in preparing for the Google Cloud Professional Machine Learning Engineer Certification exam.

Classical Machine Learning for Financial Engineering

• • • NYU via edX
    • 4-6 hours/week (7 weeks) of effort required!
    • Course Type: Self-paced

This is a very thorough course that will help you learn a systematic approach by utilizing all the classical machine learning models and techniques. Here you will get to gain insights from data sets and master all the tools which are used in the task. Curious about the advancements in machine learning? Read our detailed analysis of this ML course to see if it aligns with your academic or professional pursuits.

• The best thing about this course is that it focuses on the whole life cycle of the process. From explaining all about data set acquisition to cleaning to analysis of errors.
• This course is suitable for those who want to understand the logic behind classical machine learning at their own ease and pace.

What is Machine Learning?

Machine Learning or ML as we speak is known to be a type of artificial intelligence (AI). Discover the top picks for mastering Reinforcement Learning with our curated list of the best courses available, tailored to suit learners of all levels. It enables different software applications to become even more accurate and efficient at predicting outcomes and that too without being programmed to do so. The Machine Learning algorithms tend to use historical data as input and used for predicting new output values. We’re presenting 11 best Machine Learning Courses with certificates here.

Benefits of Machine Learning:

The use of Machine Learning (ML) comes with a variety of benefits which are mentioned below:

• It helps to cut out the workload and time through automation.
• It offers a wide range of applications to users.
• Similarly, it is very efficient at handling data.
• There is great scope of improvement.

Other benefits like algorithm selection, data acquisition, possibility of high error and much more are enjoyed.

Machine Learning is beneficial for whom?

As machine learning has applications being used in all types of industries so we can say it is beneficial for all the below:

• Manufacturing
• Healthcare
• Travel and hospitality
• Retail
• Financial services
• Healthcare and life sciences
• Feedstock
• Utilities
• Energy

And many more as we speak.

Interesting Machine Learning Stats and Facts:

Below are some of the stats and facts relevant to Machine Learning that everyone should know:

• An increase of 300% is expected for all the machine learning and AI technologies.
• The Google’s machine learning programmed named “Deep Learning ML” gives out 89% accuracy in detecting breast cancer.
• Netflix is able to save $1 billion by using machine learning algorithm as it helps personalize content recommendations for all its users.
• Similarly, machine learning companies are able to raise $3.1 billion.
• Moreover, 97% of all people who use mobile phones prefer to have a machine learning powered voice assistant for helping them out with their queries.
• To make faster and efficient decisions, 65% of the companies are planning to use machine learning.