There is no such thing as a correct syllabus for a course on any domain, including Machine Learning. However, some of the topics that should be a part of the curriculum in any course on Machine Learning are as follows:
Deep Learning: Deep Learning is a part of Machine Learning and one of the hottest technologies today. Its tools and techniques have come in handy while solving numerous business problems today that could only be imagined earlier. You must have the basics of deep learning cleared to learn Machine Learning. It is a significant part of Machine Learning and almost all courses that aim to help you learn Machine Learning will have deep learning as a part of their curriculum.
Supervised Machine Learning: This topic includes various algorithms along with their applications in problems related to regression and classification.
Unsupervised Machine Learning: Unsupervised Learning aims to help learners understand how they can apply the various Machine Learning models and algorithms on the given datasets.
Reinforcement Learning: It is extremely useful when you wish to train the systems without providing them the possible outcome and allowing them to figure that out on their own.
Watch this tutorial video on YouTube to learn more about Machine Learning:
It is impossible to say what the correct syllabus is for Machine Learning or any other technology, for that matter. This is because of the constant change and upgrades that come with these technologies that allow them to improve. However, one thing is certain that if you sign up for Intellipaat’s Machine Learning course then not only will you be able to learn the technology, but you will also be able to keep up with the latest updates and trends since you will have lifelong access to the latest version of the course.
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