Mississauga - Airways

5925 Airport Road, Mississauga, Canada, L4V 1W1

Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport off...

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Dynamic Analysis Using Matlab

21 heures
Cette formation en direct avec instructeur (en ligne ou sur site) s'adresse aux développeurs ou ingénieurs débutants qui souhaitent apprendre à utiliser la simulation numérique pour les problèmes dynamiques à l'aide de Matlab. A l'issue de cette formation, les participants seront capables de :
  • Comprendre les principes fondamentaux de l'analyse dynamique.
  • Utiliser Matlab pour réaliser des solutions analytiques et numériques.
  • Dériver les équations de mouvement en utilisant différentes approches.
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MATLAB Fundamentals, Data Science & Report Generation

35 heures
In the first part of this training, we cover the fundamentals of MATLAB and its function as both a language and a platform.  Included in this discussion is an introduction to MATLAB syntax, arrays and matrices, data visualization, script development, and object-oriented principles. In the second part, we demonstrate how to use MATLAB for data mining, machine learning and predictive analytics. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and using other tools such as spreadsheets, C, C++, and Visual Basic. In the third part of the training, participants learn how to streamline their work by automating their data processing and report generation. Throughout the course, participants will put into practice the ideas learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough grasp of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation. Assessments will be conducted throughout the course to gauge progress. Format of the Course
  • Course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.
Note
  • Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange.
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Python for Matlab Users

14 heures
The Python programming language is becoming more and more popular among Matlab users due to its power and versatility as a data analysis tool as well as a general purpose language. This instructor-led, live training (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization. By the end of this training, participants will be able to:
  • Install and configure a Python development environment.
  • Understand the differences and similarities between Matlab and Python syntax.
  • Use Python to obtain insights from various datasets. 
  • Convert existing Matlab applications to Python. 
  • Integrate Matlab and Python applications.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Basic MATLAB Programming

21 heures
A 3 day course that takes you through the MATLAB main screens and windows including ...
  • how to use matlab as a caluclator and plot basic curves
  • how to create your own customized functions and scripts
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Introduction to Image Processing using Matlab

28 heures
This four day course provides image processing foundations using Matlab. You will practise how to change and enhance images and even extract patterns from the images. You will also learn how to build 2D filters and apply them on the images. Examples and exercises demonstrate the use of appropriate Matlab and Image Processing Toolbox functionality throughout the analysis process.
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MATLAB Fundamentals

21 heures
This three-day course provides a comprehensive introduction to the MATLAB technical computing environment. The course is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include:
  •     Working with the MATLAB user interface
  •     Entering commands and creating variables
  •     Analyzing vectors and matrices
  •     Visualizing vector and matrix data
  •     Working with data files
  •     Working with data types
  •     Automating commands with scripts
  •     Writing programs with logic and flow control
  •     Writing functions
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Matlab for Deep Learning

14 heures
In this instructor-led, live training, participants will learn how to use Matlab to design, build, and visualize a convolutional neural network for image recognition. By the end of this training, participants will be able to:
  • Build a deep learning model
  • Automate data labeling
  • Work with models from Caffe and TensorFlow-Keras
  • Train data using multiple GPUs, the cloud, or clusters
Audience
  • Developers
  • Engineers
  • Domain experts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Matlab for Finance

14 heures
MATLAB Integre la comptabilité, la visualisation et la programmation dans un environnement facile à utiliser. Il offre Financial Toolbox, qui comprend les fonctionnalités nécessaires pour effectuer une analyse mathématique et statistique des données financières, puis afficher les résultats avec des graphiques de qualité de présentation. Cette formation guidée par des instructeurs fournit une introduction à MATLAB pour les finances. Nous nous penchons dans l’analyse des données, la visualisation, la modélisation et la programmation par l’intermédiaire d’exercices pratiques et de pratiques complètes en laboratoire. À la fin de cette formation, les participants auront une compréhension approfondie des puissantes caractéristiques inclus dans MATLAB's Financial Toolbox et auront obtenu la pratique nécessaire pour les appliquer immédiatement pour résoudre les problèmes du monde réel. Audience
  • Professionnels financiers ayant une expérience antérieure avec MATLAB
Format du cours
  • Lecture partielle, discussion partielle, pratique lourde
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MATLAB Fundamentals + MATLAB for Finance

35 heures
This course provides a comprehensive introduction to the MATLAB technical computing environment + an introduction to using MATLAB for financial applications. The course is intended for beginning users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course. Topics include:
  • Working with the MATLAB user interface
  • Entering commands and creating variables
  • Analyzing vectors and matrices
  • Visualizing vector and matrix data
  • Working with data files
  • Working with data types
  • Automating commands with scripts
  • Writing programs with logic and flow control
  • Writing functions
  • Using the Financial Toolbox for quantitative analysis
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Introduction au Machine Learning avec MATLAB

21 heures
MATLAB is a numerical computing environment and programming language developed by MathWorks.
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Matlab for Predictive Analytics

21 heures
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
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Matlab for Prescriptive Analytics

14 heures
Prescriptive analytics is a branch of business analytics, together with descriptive and predictive analytics. It uses predictive models to suggest actions to take for optimal outcomes, relying on optimization and rules-based techniques as a basis for decision making. In this instructor-led, live training, participants will learn how to use Matlab to carry out prescriptive analytics on a set of sample data. By the end of this training, participants will be able to:
  • Understand the key concepts and frameworks used in prescriptive analytics
  • Use MATLAB and its toolboxes to acquire, clean and explore data
  • Use rules-based techniques including inference engines, scorecards, and decision trees to make decisions based on different business scenarios
  • Use Monte Carlo simulation to analyze uncertainties and ensure sound decision making
  • Deploy predictive and prescriptive models to enterprise systems
Audience
  • Business analysts
  • Operations planners
  • Functional managers
  • BI (Business Intelligence) team members
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Programmer avec MATLAB

14 heures
This two-day course provides a comprehensive introduction to the MATLAB® technical computing environment. The course is intended for beginner users and those looking for a review. No prior programming experience or knowledge of MATLAB is assumed. Themes of data analysis, visualization, modeling, and programming are explored throughout the course.
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Octave not only for programmers

21 heures
Course is dedicated for those who would like to know an alternative program to the commercial MATLAB package. The three-day training provides comprehensive information on moving around the environment and performing the OCTAVE package for data analysis and engineering calculations. The training recipients are beginners but also those who know the program and would like to systematize their knowledge and improve their skills. Knowledge of other programming languages is not required, but it will greatly facilitate the learners' acquisition of knowledge. The course will show you how to use the program in many practical examples.
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Simulink® for Automotive System Design Advanced Level

14 heures
Simulink is a graphical programming environment for modeling, simulating and analyzing multidomain dynamic systems.
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Simulation of Wireless Communication Systems using MATLAB

35 heures
This course contains a comprehensive material about MATLAB as a powerful simulation tool for communications. The aim of this course is to introduce MATLAB not only as a general programming language, rather, the role of the extremely powerful MATLAB capabilities as a simulation tool is emphasized. The examples given to illustrate the material of the course is not just a direct use of MATLAB commands, instead they often represent real problems.
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Simulink® for Automotive System Design

28 heures
Objective: This training is meant for software Engineers who are working with MBD technology, the training will cover Modelling techniques for Automotive systems, Automotive standards ,Auto-code generation and Model test harness building and verification Audience: Software developper for automotive supplier
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Nos Clients témoignent (7)

J'ai beaucoup apprécié la capacité du formateur à s'adapter à notre besoin spécifique et à nous proposer un support de formation adapté.

Jeremy Herviou - Michelin
Formation - Basic MATLAB Programming

La disponibilité, l'écoute et le relationnel de Guillaume. Il a su s'adapté à notre besoin assez spécifique.

Ugo Imbert - Michelin
Formation - Basic MATLAB Programming

Les nombreux exemples et la construction du code du début à la fin.

Toon - Draka Comteq Fibre B.V.
Formation - Introduction to Image Processing using Matlab

Traduction automatique

Construction pratique du code à partir de zéro.

Igor - Draka Comteq Fibre B.V.
Formation - Introduction to Image Processing using Matlab

Traduction automatique

Disponibilité et adaptabilité, réponses aux questions

Jean-Michel MEOT - CIRAD
Formation - Introduction au Machine Learning avec MATLAB

Présentation progressive et application des méthodes

Aurélien Briffaz - CIRAD
Formation - Introduction au Machine Learning avec MATLAB

Les exercices pratiques et la disponibilité du formateur pour répondre aux questions.

Sebastien Botte - SDECCI
Formation - MATLAB Programming

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