Topics 1 : MATLAB® Fundamentals in Data Science
22 August 2022 | 09:00 - 12:00 (BKK Time) | Via Zoom
A variety of new tools for data science have been recently added to MATLAB. These include functions for exploratory data analysis and apps for quickly exploring machine learning models and deployment to multiple platforms and languages.
Highlights:
- Accessing and exploring large data sets
- Preprocessing and analyzing various types of data including textual and time-stamped data using MATLAB data types: table, timetable, string, categorical, datetime, duration, tall arrays
- Working with messy data including outliers, missing, and noisy data, joining tables, synchronizing data by time, and calculating statistics by group
- Visualizing various data types: time series plots, heatmaps, wordclouds, geographic plots, boxplots
- Training and validating machine learning models using the Classification Learner and Regression Learner apps
- Integrating model predictions into a web application running on the cloud
Topics 2 : Introduction MATLAB® & Simulink® with Machine Learning
29 August 2022 | 09:00 - 12:00 (BKK Time) | Via Zoom
Learn how to get started using machine learning tools to detect patterns and build predictive models from your datasets. In this webinar, you will learn about several machine learning techniques available in MATLAB and how to quickly explore your data, evaluate machine learning algorithms, compare the results, and apply the best machine learning for your problem.
Highlights:
- K-means and other clustering tools
- Neural Networks
- Decision trees and ensemble learning
- Naïve Bayes Classification
- Linear, logistic and nonlinear regression