5 Best Online Courses for Learning Machine Learning
Are you interested in Machine Learning (ML) but not sure where to start? If you are trying to break into this field or want to update your knowledge in ML, taking online courses can be a great option. Here are the top 5 online courses for learning Machine Learning:
1. Machine Learning Course by Andrew Ng on Coursera
This online course by Andrew Ng, Co-founder of Coursera, is the most popular Machine Learning course that has gained over 3 million enrolments. In this course, you will learn the basics of ML, data pre-processing, regression, clustering, and neural networks. This course will help you to gain hands-on experience in building ML models from scratch using Octave/Matlab programming languages. This 11-week course is available for free but a completion certificate can be obtained by paying a fee.
2. Applied Data Science with Python by IBM on Coursera
This hands-on course offered by IBM covers the basics of Python programming, data visualization, data analysis, and Machine Learning. This course has 5 modules, each taking 6 weeks, and this course can be completed in 30 weeks. This course requires basic knowledge of Python programming and mathematics, and you will be learning Machine Learning algorithms such as decision trees, k-NN, and clustering. Upon completion, a badge and a certificate are awarded by IBM.
3. Deep Learning Specialization by Andrew Ng on Coursera
This course by Andrew Ng is aimed at aspiring Deep Learning engineers. This course covers neural networks, convolutional neural networks, recurrent neural networks, and deep learning frameworks such as TensorFlow and Keras. This course comprises 5 self-paced courses and each course takes approximately 4 weeks to complete. A completion certificate can be obtained by paying a fee and the course is available in English, Mandarin and Spanish.
4. Machine Learning Crash Course by Google
Google’s Machine Learning Crash Course is an excellent starting point for individuals interested in the field but with limited knowledge. This course is aimed at beginners and covers various topics such as Classification, Regression, Clustering, and Neural Networks. The course also provides hands-on experience in using TensorFlow for building ML models. This course is available for free and can be accessed anytime.
5. Introduction to Machine Learning with Python by datacamp
datacamp’s Introduction to Machine Learning with Python is a beginner-level course that covers the basics of ML, including supervised and unsupervised learning, classification, regression, and clustering. This course also provides hands-on experience in using popular Python-based libraries for ML such as scikit-learn. This course comprises 21 hours of content spread across 7 chapters and a completion certificate is awarded upon completion.
In conclusion, these are the top 5 best online courses for learning Machine Learning covering a broad spectrum of ML techniques and commonly used programming tools and languages. Choose the one that best suits your requirements to elevate your career in ML.
