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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
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.
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.
Build a regression model to predict the price of housing in the state of California, using a well-known Google dataset
Build a classification model to predict which patients at the Cleveland Medical Center in Ohio suffer from heart disease
Build a machine learning model that can recognize handwritten digits from the famous MNIST dataset
Train a neural network to identify pictures of cats and dogs with superhuman accuracy
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).
Choose the plan that works best for you. Buy this course and dive into MLNET machine learning, or unlock unlimited access to every course on the site.
Want the best learning experience?
Members get access to the full course library, all labs and community pages, receive priority support and sneak previews of future course releases.
Prices shown exclude VAT. EU businesses can defer VAT during checkout with a valid VAT ID number.
Buy this course and get lifetime access to all lectures and knowledge quizzes
✔️ This course
✔️ Included quizzes only
✔️ Included labs only
🚫 No priority support
🚫 No community access
🚫 No future courses
€95 one time
Get access to all courses, lectures, labs, quizzes, and future releases
✔️ All courses
✔️ All quizzes
✔️ All labs
✔️ Priority support
✔️ Community pages
✔️ Access to future courses
€35 p/mo or €350 p/yr
In-company or online team training with guided labs and live support
🪙 Onsite or online
🪙 Conducted live
🪙 For teams of 5-12
🪙 3-day training
🪙 Guided labs
🪙 Can be customized
€1250 p/day
Thank you for this. To say I learned a lot would be the understatement of the year! Once again, thank you!
Congrats! Mark Farragher is an exceptionally talented trainer. I'm looking forward to taking more of his training soon!
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
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.
You will receive prerecorded online video lectures, text lectures, multiple-choice quizzes and homework exercises.
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.
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.
I host all my training content on Podia, a well-known e-learning platform based in the United States.
You have unlimited access to the online training content and your login account will never expire.
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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