Best Free Online Machine Learning Courses

Nowadays, machine learning is becoming one of the most fascinating and fast-paced computer science fields to work in. Candidates who want to develop their industry ready deep learning skills, they can pick a learning opportunity with our list of the ‘best free online machine learning courses’.

Below, all mentioned machine learning courses are online and available for beginners. To kick start your career, these courses will help you to get knowledge of machine learning. Wish you all the best!!

Data Science: Machine Learning

Create a movie recommendation system by joining this “Data Science: Machine Learning” free online course created by Harvard University. In this course, you will study the science behind one of the most popular and successful data science techniques. Students will also learn how to train algorithms using training data so you can predict the outcome for future datasets.

Provider: Harvard University
Subject: Data Analysis & Statistics
Duration: 8 weeks
Start Date: Starts on July 17, 2019
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Machine Learning

Master the essentials of machine learning and algorithms with this free online course “Machine Learning” offered by the Columbia University. This course will help you to understand the models and methods and apply them to real world situations ranging from identifying trending news topics. Applicants must have knowledge of Calculus, Linear algebra, Probability and statistical concepts to join this course.

Provider: Columbia University
Subject: Computer Science
Duration: 12 weeks
Start Date: Starts on September 16, 2019
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Machine Learning Fundamentals

Understand machine learning role in data-driven modeling, prediction, and decision-making through this course “Machine Learning Fundamentals” guided by the University of California, San Diego. In this course, you will learn a variety of supervised and unsupervised learning algorithms and the theory behind those algorithms. You must an undergraduate degree in Multivariate calculus and Linear algebra.

Provider: University of California, San Diego
Subject: Computer Science
Duration: 10 weeks
Start Date: Starts on September 3, 2019
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Deep Learning Explained

Grap the opportunity to be a part of the Microsoft Corporation by enrolling in its free online course entitled as “Deep Learning Explained”. In this course, you will learn an intuitive approach to building the complex models that help machines solve real-world problems with human-like intelligence. To join this course, you must have a basic programming skills and working knowledge of data science.

Provider: Microsoft Corporation
Subject: Computer Science
Duration: 6 weeks
Start Date: Starts on July 1, 2019
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Introduction to Artificial Intelligence (AI)

If you want to discover how machine learning can be used to build predictive models for AI, then Microsoft is providing you a great chance for you to join this “Introduction to Artificial Intelligence” course. This course gives an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. Students must have a basic knowledge of programming to enroll in this course.

Provider: Microsoft Corporation
Subject: Computer Science
Duration: 4 weeks
Start Date: Self-Paced
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Advanced Machine Learning

Discover advanced techniques and how to use them in your data science projects with this course “Advanced Machine Learning” developed by the Open University. Through this course, you will be able to improve your understanding of machine learning. To be a part of this course, you must have some experience with machine learning, data science or statistical modeling.

Provider: Open University
Subject: Science, Engineering & Maths
Duration: 4 weeks
Start Date: Date to be announced
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Big Data: Statistical Inference and Machine Learning

The Queensland University of Technology is inviting students to enroll in its “Big Data: Statistical Inference and Machine Learning” free online course. In this course, you will understand how to apply selected statistical and machine learning techniques and tools to analyse big data. For joining this course, applicants must have a basic understanding of statistics and mathematics at a university undergraduate level.

Provider: QUT
Subject: Business & Management
Duration: 3 weeks
Start Date: Date to be announced
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Mathematics for Machine Learning: Linear Algebra

Applicants are invited to become a part of “Mathematics for Machine Learning: Linear Algebra” free online course designed by the Imperial College London. This course will provide you an understanding of vectors and matrices that will help you bridge the gap into linear algebra problems. You will also learn how to apply these concepts to machine learning.

Provider: Imperial College London
Subject: Machine Learning
Duration: 5 weeks
Start Date: Available
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Machine Learning: Classification

 Tackle both binary and multiclass classification problems with this “Machine Learning: Classification” free online course provided by the University of Washington. In this course, you will create models that predict a class from input features. By studying this course, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent. 

Provider: University of Washington
Subject: Machine Learning
Duration: 7 weeks
Start Date: Ongoing
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Machine Learning

The Stanford University is welcoming interested applicants for enrolling in this free online course named as “Machine Learning”. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. In this course, you will study the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Provider: Stanford University
Subject: Machine Learning
Duration: 11 weeks
Start Date: Begins on June 24, 2019
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Structuring Machine Learning Projects

Build a successful machine learning project by joining this free online course “Structuring Machine Learning Projects” propounded by the Deeplearning.ai. In this course, you will understand how to diagnose errors in a machine learning system. To be eligible for this course, you should have a basic machine learning knowledge.

Provider: Deeplearning.ai
Subject: Data Science
Duration: 2 weeks
Start Date: Open
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Neural Networks and Deep Learning

If you want to break into cutting-edge AI, then this course “Neural Networks and Deep Learning” will help you presented by the Deeplearning.ai. In this course, you will study the foundations of deep learning. This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description.

Provider: Deeplearning.ai
Subject: Machine Learning
Duration: 4 weeks
Start Date: Available
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Machine Learning Foundations: A Case Study Approach

Get a deeper understanding of the core ways in which machine learning can improve your business by enrolling in this course “Machine Learning Foundations: A Case Study Approach” created by the University of Washington. In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of this course, you will be able to identify potential applications of machine learning in practice. 

Provider: University of Washington
Subject: Machine Learning
Duration: 6 weeks
Start Date: Open
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Machine Learning: Regression

The University of Washington is providing you a free online course named as “Machine Learning: Regression”. In this course, you will discover regularized linear regression models for the task of prediction and feature selection. You will be able to build a regression model to predict prices using a housing dataset by joining this course.

Provider: University of Washington
Subject: Machine Learning
Duration: 6 weeks
Start Date: Available
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Mathematics for Machine Learning: Multivariate Calculus

Understand a brief introduction to the multivariate calculus with this free online course “Mathematics for Machine Learning: Multivariate Calculus”. In this course, you will learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. This course will also teach you how to build up a set of tools for making calculus easier and faster.

Provider: Imperial College London
Subject: Math
Duration: 6 weeks
Start Date: Open
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Course Name	University	Cost	Duration	Deadline
1. Data Science: Machine Learning	Harvard University	Free	8 weeks	July 17, 2019
2. Machine Learning	Columbia University	Free	12 weeks	September 16, 2019
3. Machine Learning Fundamentals	University of California, San Diego	Free	10 weeks	September 3, 2019
4. Deep Learning Explained	Microsoft Corporation	Free	6 weeks	July 1, 2019
5. Introduction to Artificial Intelligence (AI)	Microsoft Corporation	Free	4 weeks	Self-Paced
6. Advanced Machine Learning	Open University	Free	4 weeks	Date to be announced
7. Big Data: Statistical Inference and Machine Learning	Queensland University of Technology	Free	3 weeks	Date to be announced
8. Mathematics for Machine Learning: Multivariate Calculus	Imperial College London	Free	6 weeks	Open
9. Machine Learning: Regression	University of  Washington	Free	6 weeks	Available
10. Machine Learning	Stanford University	Free	11 weeks	June 24, 2019