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TORRENT DETAILS
Udemy - Practical Ai And Machine Learning With Model Builder Automl
TORRENT SUMMARY
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Language: English | Size: 2.16 GB | Duration: 2h 33m
Master machine learning by doing it in practice, using an automated machine learning GUI that requires little/no coding.
What you'll learn
See an end-to-end, supervised machine learning process to tackle a regression problem, using Microsoft's Model Builder and ML .Net.
Understand the tasks and activities that take place behind the scenes. From data preparation all the way to model training and evaluation.
Understand data transformation, feature scaling, iterating through algorithms, evaluation metrics, overfitting, cross-validation and regularization.
Understanding the impact of evaluation metrics on model performance, and how to check for overfitting.
Understand the lasting fundamentals of machine learning that are independent of the tools or platforms one can use.
Gain a deep understanding of machine learning concepts by seeing them in action, during a practical machine learning nstration.
Understand the importance of Exploratory Data Analysis (EDA) and the impact that the statistical distribution of the data has on model performance.
Learn how to set up Visual Studio and to configure it to enable Model Builder, the graphical tool that will be used to nstrate the machine learning process.
Learn how to use Model Builder to train models without having to code.
Requirements
A basic understanding of supervised machine learning is required. The student would at the very least need to understand what regression is, what features are, and what it means for a model to be trained to fit a function to input features in order to predict labels.
The student needs to have a Windows machine with a few GB of free disk space to install Visual Studio, in order to replicate the machine learning process I will nstrate. However, this is not essential.
A Windows machine is ideal, but a student with a Mac will still be able to follow along. The course content is visual enough to nstrate the concepts, without the student having to physically do the machine learning exercise.
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FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction/1 - Introduction Prerequisites and Learning Outcomes.mp4
341.6 MB
~Get Your Files Here !/1 - Introduction/2 - Introducing Model Builder and the Approach for this Course.mp4
140.1 MB
~Get Your Files Here !/2 - Visual Studio and Model Builder/3 - Download Install and Configure Visual Studio.mp4
113.7 MB
~Get Your Files Here !/2 - Visual Studio and Model Builder/4 - Launch Visual Studio and Start a Coding Project.mp4
154.3 MB
~Get Your Files Here !/3 - Model Builder and the Machine Learning Process/5 - Introducing Model Builder and the Machine Learning Process.mp4
59.2 MB
~Get Your Files Here !/3 - Model Builder and the Machine Learning Process/6 - Model Builder Tasks.mp4
64.4 MB
~Get Your Files Here !/3 - Model Builder and the Machine Learning Process/7 - Preparing Data for Machine Learning.mp4
97.1 MB
~Get Your Files Here !/3 - Model Builder and the Machine Learning Process/8 - Machine Learning Training a Model.mp4
65.7 MB
~Get Your Files Here !/3 - Model Builder and the Machine Learning Process/9 - Evaluating the performance of a trained model.mp4
121.7 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/10 - Machine Learning in Action Part 1 Getting training data.mp4
141.8 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/11 - Machine Learning in Action Part 2 Preparing the training data.mp4
121.6 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/12 - Demo Part 3.mp4
204.6 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/13 - Demo Part 4.mp4
159.7 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/14 - Understand and Interpret Model Performance.mp4
100.7 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/15 - Consuming a Model and Checking for Overfitting.mp4
324.6 MB
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/16 - Course Summary.html
33 B
~Get Your Files Here !/4 - Machine Learning Demo with Model Builder/16 - Summary.docx
