- €90
Deep Learning With Azure Machine Learning
- 150 Lessons
Here's What You'll Get
151
Lessons
36
Videos
11
Quizzes
17
Deep Learning Projects
This training will get you fully up to speed with the Azure Machine Learning service.
You will learn all about regression, binary and multiclass classification, clustering, deep learning and transfer learning. You’ll also master popular learning algorithms like gradient descent, the decision tree, bagging and boosting ensembles, k-means clustering and deep neural networks.
As you progress through the training material, you’ll design, train, and evaluate many complex machine learning pipelines in the Azure cloud with the Microsoft Azure Machine Learning studio platform.
I will provide you with all the datasets and guidance you need to get started and build your own machine learning apps.
The training covers the following topics:
Setting Up Azure Machine Learning
Setting Up Data Stores
Uploading Datasets
Building Machine Learning Pipelines
Supervised Machine Learning
Loading Numeric Data
Normalization
Processing Outliers
Processing Missing Values
Loading Text Data
One-Hot Encoding
Sparse Vector Encoding
Loading Geo Data
Binning
Vector Cross-Products
Single Linear Regression
RMSE, MSE and MAE
Gradient Descent
Multiple Linear Regression
Binary Classification
Accuracy, Precision and Recall
ROC, AUC and Bias
Multiclass Classification
The Confusion Matrix
Micro and Macro Average
Deep Neural Networks
Neural Network Architectures
Batch and Epoch Training
Overfitting
Underfitting
Partitioning Datasets
Minibatch Training
K-Fold Cross Validation
Decision Trees
Classification Trees
Regression Trees
Bagging Ensemble Models
Boosting Ensemble Models
Stacking Ensemble Models
Unsupervised Machine Learning
K-Means Clustering
The Davies-Bouldin Index
Recommendation Systems
Principal Component Analysis
Singular Value Decomposition
Lesson Preview
Check out this training lesson preview in which I will show you how neural networks are built on linear regression, a very simple machine learning algorithm that anyone can understand.
The video covers Deep Neural Networks, Activation Functions, and Iterative Training.
Featured Labs
Here are four lab assignments from the training. In each lab, you will be building a training pipeline and use it to train a machine learning model on a compute cluster in the Microsoft Azure cloud.
Predict California House Prices
Build a regression model to predict the price of housing in the state of California, using a well-known Google dataset
Predict Heart Disease
Build a classification model to predict which patients at the Cleveland Medical Center in Ohio suffer from heart disease
Recognize Handwriting
Build a machine learning model that can recognize handwritten digits from the famous MNIST dataset
Identify Cats and Dogs
Train a neural network to identify pictures of cats and dogs with superhuman accuracy
What You'll Need
For this course you will need a computer (running Windows, OS/X, or Linux), a web browser (Chrome, Edge or Firefox) and a Microsoft Azure subscription (either free or pay as you go).
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Buy this course and get lifetime access, or become a member and get exclusive access to every course on the site, including new courses I'll add in the future.
Once your payment clears, you will get instant access to the training platform.
Please note that the listed price is ex VAT. Registered EU businesses with a valid VAT number can defer the VAT during checkout. Non-EU businesses and individuals do not pay VAT.
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€90 one-time
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Training Curriculum
Course Introduction
Introduction To Machine Learning
Setting Up An Azure ML Workspace
Setting Up Azure ML Datasets
Processing Numeric Data
Building Machine Learning Pipelines
Supervised Learning
Regression
Case study
Processing Text And Geo Data
Case study
Binary Classification
Case study
Multiclass Classification
Deep Neural Networks
Training And Evaluating Models
Case study
Decision Trees
Case study
Ensemble Models
Clustering
Recommendation Systems
In Conclusion
Unsupervised Learning
What My Students Are Saying
Thank you for this. To say I learned a lot would be the understatement of the year! Once again, thank you!
Paul Simpson
Congrats! Mark Farragher is an exceptionally talented trainer. I'm looking forward to taking more of his training soon!
Neill Cain
Still Got Questions?
I hope I've given you a clear overview of the contents of this training course. But if anything is still unclear and you have some unanswered questions, then please check out this FAQ section
What is an online training?
In an online training you can study the training lectures and work on the homework assignments in your own time and at your own pace. You can spend as many or as little hours per week as you want on the training.
What's included?
You will receive prerecorded online video lectures, text lectures, multiple-choice quizzes and homework exercises.
How am I supported?
You are supported through email, and you can also book a 30-minute video support call with me if you want. I will help you with the training lectures and homework projects and get you ready for your certification exams.
Who should attend?
An online training is ideal for tech professionals who want to set their own learning pace and prefer to work independently with a bit of guidance and support throughout the training.
Where is the training hosted?
I host all my training content on Podia, a well-known e-learning platform based in the United States.
How long do I have access?
You have unlimited access to the online training content and your login account will never expire.
Can you train my entire team?
Yes! I often host classroom trainings where I teach tech subjects to an entire business team. Contact me and we'll get it organised.
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