Produktbeschreibung
This course provides the foundational concepts in Machine Learning and Artificial Intelligence.
It teaches about rapid prototyping of AI/ML models for solving tasks of various complexities with Mathematica.
An 8 stage workflow for continuous development and deployment of AI/ML models is covered in detail.
Course Content
Part 1
Machine Learning Overview
- Introduction to general concepts in Machine Learning
- Demonstrations of ML/AI functions in Mathematica
Machine Learning Pipeline
- 8 stage workflow for ML (Data Acquisition, Cleaning, Visualization, Transformation, Training, Cross-validation, Testing, Deployment)
- Developing an end-to-end ML model
Machine Learning Models
- Explanation of working of different models like linear regression, logistic regression, decision trees, random forests, etc.
- Deep dive into optimal training strategies (SGD, ADAM, etc.)
- Model parameters fine tuning methods (Grid search v/s Stochastic search)
Part 2
Neural Networks
- Introduction to neural networks
- Demonstration of simple neural networks
Predictive Neural Networks
- Training neural networks for prediction tasks in various domains:
- Image classification (Fixed dimension data)
- Text Sentiment analysis (Variable dimension sequence data)
Generative Neural Networks
- Introduction to Autoencoders as the basis for generative models
- Overview of generative models in various domains:
- Stable diffusion (Image generation)
- Transformers (Text generation)
Dauer: 14 Stunden
Beginn/Ende: 09:00 - 17:00 Uhr
Sprache/Material: englisch
Vorkenntnisse: Grundlegende Statistikkenntnisse, Grundkenntnisse in Mathematica, wie sie im Kurs "Mathematica Gurndlagen und Programmiertechniken" vermittelt werden
Veranstaltungsort: ADDITIVE Soft- und Hardware für Technik und Wissenschaft GmbH, Max-Planck-Str. 22b, 61381 Friedrichsdorf, Deutschland
Rahmenbedingungen
- Geschult wird mit der aktuellen Software-Version.
- Bitte beachten Sie, dass Sie uns sowohl die Postanschrift als auch die E-Mail-Adresse der Teilnehmer mit der Beauftragung mitteilen.
