The Top 5 Free Machine Learning Courses Available These days

 

Introduction:

Machine learning has become an essential part of modern technology, and there is a significant demand for skilled professionals in this field. Whether you are a beginner or an experienced programmer, learning machine learning can open up a world of possibilities for you. Fortunately, there are several free courses available online that can help you learn machine learning from the comfort of your home. In this article, we will explore the top five free machine-learning courses available today.

1. Machine Learning by Andrew Ng

Andrew Ng, the founder of Coursera, is a renowned expert in the field of machine learning. His course on Machine Learning is the most popular course in this category and has been taken by over two million students worldwide. The course covers the fundamentals of machine learning, including supervised and unsupervised learning, linear regression, logistic regression, neural networks, and more. The course is self-paced, and students can take it at their convenience. The course is designed to be accessible to beginners and does not require any prior knowledge of programming.

1. Deep Learning by Yoshua Bengio, Ian Goodfellow, and Aaron Courville

Deep Learning is a free online course offered by the Université de Montréal. The course covers the basics of deep learning, including convolutional neural networks, recurrent neural networks, and unsupervised learning. The course also includes assignments that allow students to apply the concepts they have learned. The course is designed for students who have a basic understanding of linear algebra, calculus, and probability theory.

1. Applied Machine Learning by Kelleher and Tierney

Applied Machine Learning is a free course offered by the Open Learning Initiative at Carnegie Mellon University. The course covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, and clustering. The course also covers the practical aspects of machine learning, such as data preparation, feature engineering, and model selection. The course is designed to be accessible to beginners and does not require any prior knowledge of programming.

1. Mathematics for Machine Learning by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong

Mathematics for Machine Learning is a free course offered by the Imperial College London. The course covers the mathematical foundations of machine learning, including linear algebra, calculus, and probability theory. The course is designed to be accessible to beginners and does not require any prior knowledge of mathematics. The course also includes programming assignments that allow students to apply the concepts they have learned.

1. Machine Learning Crash Course by Google

Machine Learning Crash Course is a free course offered by Google. The course covers the basics of machine learning, including supervised and unsupervised learning, linear regression, logistic regression, neural networks, and more. The course also includes practical exercises that allow students to apply the concepts they have learned. The course is designed for beginners and does not require any prior knowledge of programming.

Conclusion:



Machine learning is a rapidly growing field, and there is a significant demand for skilled professionals in this area. Fortunately, there are several free courses available online that can help you learn machine learning from the comfort of your home. In this article, we explored the top five free machine learning courses available today. Whether you are a beginner or an experienced programmer, these courses can help you acquire the skills and knowledge you need to succeed in this exciting field.