Is your organization looking to broaden its machine learning skills?

This hands-on, instructor-led training features data science lessons and topics using ML Server or Python for enterprise-class, big data analytics. A BlueGranite senior consultant will facilitate hands-on labs and provide material for your team on the fundamentals of Python or R programming for data ingestion, exploratory data analysis, model building, evaluation, and operationalization.

Attendees from your company will learn how to write effective R or Python code that is tailored to your data structures and your computing environment, and can be operationalized in production. Up to 10 attendees will receive expert-led guidance on the benefits of Python or Microsoft R through a complete set of hands-on labs and training modules.

Python

ML Server

Day 1: Overview of Python

Overview of basic Python data types. Learn how to write and execute Python code and perform common operations.

Day 1: Computing with R

Overview of the Microsoft R ecosystem. Functional programming for data manipulation. Data visualization and exploratory data analysis.

Day 2: Advanced Analytics
with Python

Overview to object-oriented programming. Learn how to effectively visualize your data. Introduction to machine learning in Python.

Day 2: Breaking the Memory
Barrier with RevoScaleR

Modeling and scoring with high-performance ScaleR algorithms. Parallel and distributed computing with Microsoft R Server.

Day 3: Advanced Analytics cont’d

Continuation of machine learning model training in Python. Utilize Hadoop and Spark with Python to process your data at scale.

Day 3: Microsoft R Server with Spark

Ingesting data into Azure storage. Training statistical models with Microsoft R Server and the Spark compute context.

BLUEGRANITE HANDS-ON LABS

Utilities

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Retail

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Information Technology

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Utilities

Energy

Energy

How much energy should we generate next quarter to meet demand?

Water

Water

Based on previous usage history at this location, how many gallons of water with a new customer will likely use per month?

Fuel

Fuel

How will a cold Winter affect natural gas usage compared to the past few years?

Retail

Stock

Stock

How many of this item do I expect to sell this month?

Delievry

Delivery

Given that it takes a while to get a delivery, how much of each item should I order?

Customer Traffic

Customer Traffic

How many workers should I schedule based on projected customer traffic today?

Information Technology

Infastructure Utilization

Infastructure Utilization

What level of bandwidth utilization should we expect each day this month?

System Outages

System Outages

Given past history of outages, when is the next outage likely to occur?

Personnel Support

Personnel Support

Given the current trending numbers of employees, how many do we suspect we will have to support next year?