12.05.2017

Data Analytics Seminar with MATLAB

Location: Islande Hotel, Ķīpsalas str. 2, Riga

Language: English

Time: 08:30

Price: FREE

Using Data Analytics to turn large volumes of complex data into actionable information can help you improve engineering design and decision-making processes. However, developing effective analytics and integrating them into other systems can be challenging. In this presentation you will learn approaches and techniques available in MATLAB to tackle these challenges.

Highlights

  • Accessing, exploring, and analyzing data stored in files, databases and the web
  • Techniques for cleaning, visualizing, and combining complex out-of-memory data sets
  • Prototyping, testing, and refining predictive models using machine learning methods
  • Integrating and running analytics within embedded platforms, enterprise business systems and interactive web applications

Who Should Attend

  • Managers interested in using data analytics to improve design and design-making
  • Engineers, analysts, and data scientists interested in developing analytics
  • IT managers and systems engineers interested in integrating analytics into business systems

 

Agenda

08:30 – 09:00  Registration

09:00 – 09:15  Introduction to MATLAB for Data Analytics

09:15 – 10:15  Accessing and Preparing Data

  • Accessing data from files, websites, and data warehouses
  • Exploring the data visually to gain insights
  • Cleaning and merging time series data

10:15 – 10:30  Break

10:30 – 11:15  Developing Predictive Models with Machine Learning

  • Developing predictive models using machine learning
  • Applying neural network, regression trees, and ensemble methods
  • Gaining insight into model accuracy and performance
  • Automating model training and report generation
  • Speeding up computation with parallel computing

11:15 – 11:45  Integrating Analytics with Production Environments

  • Deploying predictive models as stand-alone application
  • Integrating analytics into web and enterprise applications

11:45 – 12:00  Wrap-up and Q&A