Matlab for Predictive Analytics Training Course

Nobleprog Limited

Course

In City Of London

Price on request

The best .Net and C# courses

See all

See all

Description

  • Type

    Course

  • Location

    City of london

Predictive analytics is the process of using data analytics to make predictions about the future. This process uses data along with data mining, statistics, and machine learning techniques to create a predictive model for forecasting future events.
In this instructor-led, live training, participants will learn how to use Matlab to build predictive models and apply them to large sample data sets to predict future events based on the data.
By the end of this training, participants will be able to:
Create predictive models to analyze patterns in historical and transactional data
Use predictive modeling to identify risks and opportunities
Build mathematical models that capture important trends
Use data from devices and business systems to reduce waste, save time, or cut costs
Audience
Developers
Engineers
Domain experts
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice

Facilities

Location

Start date

City Of London (London)
See map
Token House, 11-12 Tokenhouse Yard, EC2R 7AS

Start date

On request

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Emagister S.L. (data controller) will process your data to carry out promotional activities (via email and/or phone), publish reviews, or manage incidents. You can learn about your rights and manage your preferences in the privacy policy.

Reviews

Subjects

  • Systems

Course programme

Introduction
Predictive analytics in finance, healthcare, pharmaceuticals, automotive, aerospace, and manufacturing

Overview of Big Data concepts

Capturing data from disparate sources

What are data-driven predictive models?

Overview of statistical and machine learning techniques

Case study: predictive maintenance and resource planning

Applying algorithms to large data sets with Hadoop and Spark

Predictive Analytics Workflow

Accessing and exploring data

Preprocessing the data

Developing a predictive model

Training, testing and validating a data set

Applying different machine learning approaches ( time-series regression, linear regression, etc.)

Integrating the model into existing web applications, mobile devices, embedded systems, etc.

Matlab and Simulink integration with embedded systems and enterprise IT workflows

Creating portable C and C++ code from MATLAB code

Deploying predictive applications to large-scale production systems, clusters, and clouds

Acting on the results of your analysis

Next steps: Automatically responding to findings using Prescriptive Analytics

Closing remarks

See related categories

Matlab for Predictive Analytics Training Course

Price on request

The best .Net and C# courses

See all

See all