$1,760

June 20-21st: Azure Machine Learning Practical Training Course Part 1 and 2

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BizData Head Office

Level 9

85 Queen Street

Melbourne, vic 3000

Australia

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A fantastic 2 day training opportunity to introduce Predictive Analytics using Azure Machine Learning, then expand on day one with learning how to find more customers who look like your most valuable customers, and recommending the most appropriate products to maximise their value.

Course 1: Event Prediction with Azure Machine Learning

Focusing on classification techniques, this introductory course will provide hands-on examples of how to:

1. Prepare Data for a Predictive Model

2. Visualise Data for Discovery

3. Partition Data to Test and Validate a Model

4. Define meaningful features for your Model

5. Select the right Algorithms, Options and Parameters to Build a Classification Model

6. Evaluate the model's predictive performance

7. Put your model into real-world practice

This class includes practical labs utilising Azure Machine Learning, Power BI Desktop and an R Client to demonstrate the lifecycle of designing your first predictive solution.

Course 2: Grow Your Customer Base with Azure Machine Learning

Building on our introductory course 'Event Detection with Azure Machine Learning', this course focuses on finding more customers who look like your most valuable customers, and recommending the most appropriate products to maximise their value.

Topics Covered:

1. Review of machine learning

2. Segmentation and recommendation systems

3. Data for clustering

4. Build a segmentation

5. Understanding clustering using visualisation

6. Data for recommendation systems

7. Build a recommender

8. Deploy Azure ML models


Hands-on Lab Prerequisites



You will need to bring along your own laptop and ensure the following:

1. Download and Install Power BI Desktop (https://powerbi.microsoft.com/en-us/desktop/)

Prerequisites:

· Windows 7 / Windows Server 2008 R2 or later

· .NET 4.5

· Internet Explorer 9 or later

· Memory (RAM):

At least 1 GB available, 1.5 GB or more recommended

· Display:

At least 1440 x 900 or 1600 x 900 (16:9) recommended. Lower resolutions are not recommended as certain controls display beyond those resolutions

· CPU:

1 GHz or faster x86 or x64-bit processor recommended

**You will need to make sure WIFI access on your machine will support internet access during the session.

2. Download and Install R Client for Power

BI Desktop (https://powerbi.microsoft.com/en-us/documentation/powerbi-desktop-r-scripts/)


Make sure you register now to secure your spot as seats are limited.

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Date and Time

Location

BizData Head Office

Level 9

85 Queen Street

Melbourne, vic 3000

Australia

View Map

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