What is the best machine learning course on Coursera for beginners?
What is the best machine learning course on Coursera for beginners?
#1 Machine Learning — Coursera. This is the course for which all other machine learning courses are judged. This beginner’s course is taught and created by Andrew Ng, a Stanford professor, co-founder of Google Brain, co-founder of Coursera, and the VP that grew Baidu’s AI team to thousands of scientists.
Can I learn machine learning in 6 months?
It is quite possible to learn, follow and contribute to state-of-art work in deep learning in about 6 months’ time. This article details out the steps to achieve that. – You have some programming skills. You should be comfortable to pick up Python along the way.
What do you learn in the machine learning and Ai course?
Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition.
What is machine learning and why is it important?
Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.
What are the different types of machine learning topics?
Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
How does machine learning work with large datasets?
Machine learning works best when there is an abundance of data to leverage for training. In this module, we discuss how to apply the machine learning algorithms with large datasets. Identifying and recognizing objects, words, and digits in an image is a challenging task.