Interpreting Data with Advanced Statistical Models
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
What you'll learn
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.
Table of contents
- Back to the Basics: Linear Regression Again 4m
- Hyperparameter Optimization: Train/Dev/Test Sets 6m
- Demo: Perform Simple Linear Regression 3m
- What if I Want More Variables? Multiple Regression to the Rescue! 3m
- Demo: Perform Multiple Linear Regression 3m
- What No One Talks About: Assumptions 4m
- Demo: Evaluate a Regression Model 6m
- Summary 1m
- Non-linear Regression: Polynomial Features 3m
- Overfitting: A Great Responsibility Conveys a Great Regularization 5m
- Demo: Linear Regression with Regularization 5m
- Demo: Perform Polynomial Regression 5m
- Outliers Strike Again: Spline Regression as Local Regressor 2m
- Demo: Perform a Spline Regression 4m
- Model Selection: Let the Simplest Model Win 8m
- Demo: Comparing Models 4m
- Summary 1m
About the author
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.