MATLAB for Big Data Analytics and AI

Overview

Engineering teams have more data available to them than ever before. Data from tests, operations, production, and other sources present opportunities for data-based decisions and new data-based products and services. But many teams struggle to come up with a consistent set of tools and processes for extracting value from this data.

Highlights

In this seminar, we will highlight:

  • tools that enable engineering teams to grow from ad-hoc data analysis to building centralized tools for organization-wide use, laying a foundation for production apps and analytics.
  • machine learning as a key technique for solving complex big-data problem to generate insight and help with making better decisions and predictions.

Agenda

Time Title
1:15 p.m. Registration
1:30 p.m.

Becoming a Data-Centric Engineering Team

This talk presents a variety of new MATLAB features for accessing, organizing, and analyzing data, with a special focus on the MATLAB datastore framework for working with large collections of files and MATLAB datatypes for organizing and preprocessing sensor data.

See how these tools enable engineering teams to grow from ad-hoc data analysis to building centralized tools for organization-wide use, laying a foundation for production apps and analytics. 

2:30 p.m. Afternoon Tea
3:00 p.m.

Unlocking the Power of Machine Learning

This talk addresses how MATLAB empowers engineers and scientists without significant signal processing and machine learning expertise to tackle challenges like:

  • Importing, visualizing, and preprocessing time-series and other data
  • Detecting and extracting features in time, frequency, and time-frequency domains from signals
  • Exploring advanced signal processing and transfer learning techniques for time-series classification
  • Evaluating multiple models and working with large amounts of data
  • Optimizing performance, including hyperparameter tuning
  • Deploying models in production IT systems or on embedded devices
3:30 p.m.

Demystifying Deep Learning

Gain practical knowledge of the domain of deep learning and discover new MATLAB features that simplify these tasks and eliminate the low-level programming. From prototype to production, you’ll see demonstrations on building and training neural networks and hear a discussion on automatically converting a model to CUDA® to run natively on GPUs.

4:00 p.m. Q&A
4:30 p.m. End

Product Focus

Registration closed