MICROSOFT MACHINE

LEARNING TRAINING

3-Day On-Site, Instructor-Led Training Offer with your choice of ML Server or Python

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.

 Training GOALS

  • Learn how to explore and visualize data with R or Python using best practices for data manipulation
  • Discover best practices in managing large data sets, and perform parallel and distributed computing with Python or Microsoft R
  • Practice building and deploying machine learning models on Hadoop and Spark or SQL Server

Training Details

  • Training material is intended for data scientists and business analysts
  • Attendees should have beginner-level knowledge of Python or R and general understanding of machine learning and predictive modeling
  • Training is limited to 10 attendees

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. 

WANT TO LEARN MORE ABOUT R TRAINING? 

CONTACT US TODAY!

Microsoft R Training

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