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Interpreting Data with Advanced Statistical Models
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.
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Length | 3.2 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Axel Sirota |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional |
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Rating | Not enough ratings |
---|---|
Length | 3.2 hours |
Starts | On Demand (Start anytime) |
Cost | $35/month (Access to entire library- free trial available) |
From | Pluralsight |
Instructor | Axel Sirota |
Download Videos | On Windows, MacOS, iOS, and Android Pluralsight app |
Language | English |
Subjects | IT & Networking |
Tags | Data Professional |
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