Interpreting Data with Advanced Statistical Models
Interpreting Data with Advanced Statistical Models
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 10m | 453 MB
Instructor: Axel Sirota
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 10m | 453 MB
Instructor: Axel Sirota
Machine Learning is changing the world and at the very core of machine learning are advanced statistical models. With this course, you will know how to create an ML application for problems that appear at your work and understand the basis behind it
When you look at the core of machine learning, there are advanced statistical models. In this course, Interpreting Data with Advanced Statistical Models, you will gain the ability to effectively understand how to create an ML application that will be able to revolutionize the problems that appear at your work. First, you will learn the basic of Machine learning. Next, you will discover linear regression in a more general pattern, expanding to multiple and polynomial features. Continuing, you will explore how to classify with Logistic Regression, SVMs, and Bayesian methods. Finally, you will learn the intrinsic patterns of data with unsupervised techniques such as K Means and PCA. When you’re finished with this course, you will have the skills and knowledge of Machine Learning needed to apply it in a real-world application.
Interpreting Data with Advanced Statistical Models
