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
Course info
Level
Advanced
Updated
Sep 10, 2019
Duration
3h 10m
Table of contents
Course Overview
Getting Started with Machine Learning
Finding Those Models
Predicting Linear Relationships with Regression
Understanding Regression Models in Depth
The Problem of Correct Classification
Large Margin and Bayesian Classification
The Subtle Art of Not Needing Labels: Unsupervised Learning
Description
Course info
Level
Advanced
Updated
Sep 10, 2019
Duration
3h 10m
Description

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.

About the author
About the author

Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Development Lifecycle. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at ASAPP as a Machine Learning Engineer leveraging Customer Experience conversations for making accurate predictions with Neural Networks.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi, everyone. My name is Access Hirota. Welcome to my course. Interpreting data with advanced statistical models. I am a machine learning engineer, a sub statistician, Emel fanatic, and I very excited to present this to you. Machine learning is changing the world from autonomous cars, too intelligent homes. And at the very core of machine learning our advanced statistical models statistics is what made machine learning what it is. And it's what will guide us in this trail of predictions. We will build from basic statistics the peelers off supervise and unsupervised learning to help you make a difference. Our journey begins at the basic of machine learning, and it will be a deep dive from the start into how statistics is that power engine off the recommendations we get every day we will revisit linear regression in a marginal pattern, expand to multiple and polynomial features only to continue learning about gasification with logistic regression s PM's on by easier methods. Finally, we will learn intrinsic patterns off our data set with unsupervised that Nick's such as came in some P. C. A. By the end of this course, you will be able to effectively understand how to create an animal application that will be able to revelation arise the problems that beer at your work you will became the guru off those little tips and tricks that make the difference in the day Today. I hope you will join me in on these journeys to learn how to interpret data with the interpreting data. We have plans statistical models course at plural side.