- Scope: 2h online training on Unsupervised Learning Techniques
- Level: All
- Format: Online
This training is available on demand. Please contact Rosina Preis via rosina.preis@eitmanufacturing.eu for further information.
Mastering Machine Learning: A deep dive into Unsupervised Learning Techniques
€ 150,00
In stock
excl. 20% VAT
In stock
Description
Embark on a journey into the realm of unsupervised machine learning with our interactive online training “Mastering Unsupervised Machine Learning: Clustering, Principal Component Analysis, and Natural Language Processing Demystified”. Join us for an illuminating session where we delve into the core concepts of unsupervised learning, unravelling the mysteries behind clustering, dimensionality reduction with PCA, and the magic of Natural Language Processing (NLP). Through a combination of theoretical insights, practical demonstrations, and hands-on exercises, this online training is meticulously designed to deepen your understanding and application of unsupervised learning techniques. Immerse yourself in an interactive experience that will elevate your proficiency in leveraging these powerful algorithms for data exploration and analysis.
This training is part of the learning path “Industrial Data Science” and may be combined with other sessions.
Main learning outcomes:
- Clustering Techniques: Gain proficiency in implementing and interpreting various clustering algorithms, including K-Means and hierarchical clustering, for grouping similar data points.
- Principal Component Analysis (PCA): Understand the fundamentals of PCA and demonstrate the ability to use it for dimensionality reduction and feature extraction in high-dimensional datasets.
- Natural Language Processing (NLP): Explore the principles of NLP and showcase the application of unsupervised learning techniques in processing and analyzing textual data.
- Hands-on Application: Apply unsupervised learning techniques to real-world datasets through hands-on exercises, fostering practical skills and insights.
- Interpretation and Visualization: Develop the skills to interpret and visualize results from unsupervised learning algorithms, enhancing your ability to communicate findings effectively.
Who is this training for:
- Business analysts
- Industrial, mechanical and civil engineering students and alumni
- Practitioners without knowledge of data science
Programme
“Mastering Machine Learning: A deep dive into Unsupervised Learning Techniques” will include the following topics:
- Introduction to Unsupervised Machine Learning – 45 minutes
- 5-minute break
- Practice Section (including group exercises) supported by industry experts – 70 minutes
After the training, the course materials and training will be available on-demand. For on-demand training and further information, please contact Rosina Preis via rosina.preis@eitmanufacturing.eu.
Lecturers
Traner 1: Dipl.-Ing. Linus Kohl
Linus Kohl works as a research associate at TU Wien and Project Manager at Fraunhofer Austria. He has experience in leading and managing research projects involving topics related to predictive and prescriptive maintenance, data analytics and developing novel machine learning solutions.
Trainer 2: Dipl.-Ing. Theresa Madreiter
Theresa Madreiter works as a research associate at TU Wien and Fraunhofer Austria. She has experience in leading and managing research projects. Her focus is on utilizing data for improved maintenance solutions, with a specialty in predictive maintenance and the analysis of unstructured data.
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