Description: Applying machine learning to problems can be a difficult tasks because of all the different models that are offered. In this course you will learn how to evaluate and select machine learning models and apply machine learning to a problem.
Target Audience: Anyone interested in understanding machine learning and using it to solve problems
Duration: 00:39
Description: Some tasks aren't suitable for traditional neural networks and require specialized neural networks. In this course you will learn about convolutional and recurrent neural networks and the types of problems they can solve.
Target Audience: Anyone interested in understanding machine learning and using it to solve problems
Duration: 00:41
Description: Due to recent advancements in processing, neural networks have become easier to train, which made them extremely popular. In this course, you will learn about neural networks and how to use them.
Target Audience: Anyone interested in understanding machine learning and using it to solve problems
Duration: 00:40
Description: Unsupervised learning can provide powerful insights on data without the need to annotate examples. In this course, you will learn several different techniques in machine learning.
Target Audience: Anyone interested in understanding machine learning and using it to solve problems
Duration: 00:33
Description: Supervised learning is one of the most popular techniques in machine learning. In this course, you will learn about more complicated supervised learning models and how to use them to solve problems.
Target Audience: Anyone interested in understanding machine learning and using it to solve problems
Duration: 00:41
Description: Machine learning includes many different fields that focus on different problems. In this course, you will learn what machine learning is and the fundamentals of supervised learning.
Target Audience: Anyone interested in understanding machine learning and learning how to use it to solve problems
Duration: 00:55