Training – Introduction to Machine Learning using Microsoft Azure Machine Learning Studio (IOT203)

In this 1-day workshop, you will be introduced to Machine Learning using the Microsoft Azure Machine Learning Studio. You will learn what is machine learning, and how it can be useful to your organization. You will also learn the various machine learning algorithms and work through some real-life examples.

Topics

What is Machine Learning?
Types of Machine Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
Solving Problems using Machine Learning
- Classification
- Regression
- Clustering
Introduction to Microsoft Azure Machine Learning Studio
Creating Experiments in Microsoft Azure Machine Learning Studio
- Uploading Data
- Data Filtering and Cleansing
- Defining Data Features
- Applying a Learning Algorithm
- Evaluating the Model
Understanding Machine Learning Metrices
- Accuracy, Recall, Precision, Receiver Operating Characteristics Curve (ROC), Area Under the Curve (AUC), thresholds, and more
Projects
- Predicting student performance
- Detecting cancer
- And more…

Prerequisites

Basic programming experience
Understanding of basic statistical concepts

Hardware

Mac / Windows laptop

Software

Microsoft Azure Machine Learning Studio (online)

About the course

Duration – 1-day
Trainer – Wei-Meng Lee
Standard price – 249 Eur + VAT
Date – to be announced (if you’re interested, please contact edgars@devclub.lv)
Location – online

About Wei-Meng Lee

Wei-Meng Lee is a technologist and founder of Developer Learning Solutions (http://www.learn2develop.net), a technology company specializing in hands-on training on the latest mobile technologies. Wei-Meng has many years of training experiences and his training courses place special emphasis on the learning-by-doing approach. His hands-on approach to learning programming makes understanding the subject much easier than reading books, tutorials, and documentations. His name regularly appears in online and print publications such as DevX.com, MobiForge.com, and CoDe Magazine.

Some of Wei-Meng Lee’s Clients