Morris Riedel Teaching 0

Teaching – Overview

Teaching Experience Adjunct Lecturer, Lecturer, Senior Lecturer or Professor University Course: High Performance Computing – Advanced Scientific Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2022 [ MORE ] University Course: Cloud Computing and Big Data – Parallel and Scalable Machine Learning and Deep Learning, REI504M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2021 [ MORE ] University Course: High Performance Computing – Advanced Scientific Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2021 [ MORE ] University Course: Cloud Computing and Big Data – Parallel...

2022 High Performance Computing 2022 Course Outline 0

HPC – Course Spring 2022

High Performance Computing – Course Spring 2022 Advanced Scientific Computing 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Spring 2022 TBD

2021 Cloud Computing and Big Data Course Outline 0

Cloud Computing and Big Data – Course Fall 2021

Cloud Computing and Big Data – Course Fall 2021 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2021 More information about lecture materials will follow soon.

2021 HPC Course Spring 2021 Course Outline 0

HPC – Course Spring 2021

High Performance Computing – Course Spring 2021 Advanced Scientific Computing 16 university lectures with additional practical lectures for hands-on exercises in context The University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Spring 2021 More information about slide materials will follow soon.

Morris Riedel Markov Chain 0

HDS-LEE Lectures on Data Science: Neural Networks & Deep Learning

Lecture 1 – Introduction to Machine Learning and Perceptron Learning Model Slides PDF (8,49 MB) Lecture 2 – Artificial Neural Network Learning Model and Backpropagation Slides PDF (9,49 MB) Lecture 3 – Deep Learning and Convolutional Neural Network Learning Model Slides PDF (14,3 MB) Practical Lecture 4 – Using Artificial Neural Networks and Convolutional Neural Networks Slides PDF (4,23 MB) Practical Lecture 4 – Using Artificial Neural Networks and Convolutional Neural Networks – Notebooks ZIP (3,71 MB)

2020 Cloud Computing and Big Data Course Outline 0

Cloud Computing and Big Data – Course Fall 2020

Cloud Computing and Big Data – Course Fall 2020 Parallel & Scalable Machine Learning & Deep Learning 16 university lectures with additional practical lectures for hands-on exercises in context University of Iceland, School of Engineering and Natural Sciences Faculty of Industrial Engineering, Mechanical Engineering and Computer Science Fall 2020 Lecture 0 – Prologue Slides PDF (9,90 MB) Lecture 0 – Prologue – Recording Part 1 Lecture 0 – Prologue – Recording Part 2 Teaching Lecture 0 – Prologue of #CloudComputing & #BigData – Parallel & Scalable #MachineLearning & #DeepLearning Course @Haskoli_Islands @uni_iceland @uisens . slides: https://t.co/gCCeXpZM0v@DEEPprojects @fzj_jsc @fz_juelich @helmholtz_ai @EOSC_Nordic...

2020-02-17 PRACE Tutorial Parallel and Scalable Machine Learning Introduction Morris Riedel 0

PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction

PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2020-02-17 – 2020-02-19 [ EVENT ] Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~14,3 MB) [Morris Riedel] Lecture 2 – Introduction to Machine Learning Fundamentals (pdf, ~5,58 MB) [Morris Riedel] Lecture 3 – Supervised Learning with a Simple Learning Model (pdf, ~8,05 MB) [Morris Riedel] Lecture 4 – Artificial Neural Networks – ANNs (pdf, ~2,73 MB) [Gabriele Cavallaro] Lecture 5 – Introduction to Statistical Learning Theory (pdf, ~2,73 MB) [Morris Riedel] Lecture 6 – Validation and...

2020-01-20 Artificial Intelligence Data Analysis School for Heliophysicists Morris Riedel 0

Artificial Intelligence Data Analysis School for Heliophysicists

Artificial Intelligence Data Analysis School for Heliophysicists Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA) CINECA, Bologna, Italy 2020-01-20 – 2020-01-22 [ EVENT ] Materials [ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ] [ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ] [ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ] [ Lecture 4: Supervised Learning – Multi-Class Classification and Generalization – Slides ~8.99 MB (pdf) ] [ Lecture 5: Supervised Learning – Artificial Neural Networks...

Master of Data Science Morris Riedel 0

Master of Data Science

Master of Data Science Existing Programs Online Portal, Master’s in Data Science Portal [ Master’s in Data Science Portal ] Lists many different Master of Data Science Programs and many of those as sponsored and require more Information to receive more Information. Online Master’s Degree in Data Science, Online Master’s Degree in Data Science [ Online Master’s Degree in Data Science ] Adressed to companies: ‘you’ll focus on helping your company solve problems by creating machine learning algorithms to examine and manipulate data’ Drexel’s online data science master’s is a compilation of computer science and information systems. Allows to choose...

2019-12-13 Introduction To HPC and Quantum Computing for AI Morris Riedel 0

Introduction to HPC and Quantum Computing for AI Applications

Introduction to HPC and Quantum Computing for AI Applications Invited Training Course organized by Obuda University and Parallel and Distributed Systems Lab MTA Sztaki, Budapest, Hungary 2019-12-13 Materials [ Overall Lecture: Introduction to HPC and Quantum Computing for AI Applications – Slides ~38.7 MB (pdf) ] Slides available of #HPC #QuantumComputing #QuantumAnnealing @dwavesys for AI Applications training @SZTAKI_LPDS using Modular Supercomputing @fz_juelich @fzj_jsc @helmholtz_ai @helmholtz_de @Haskoli_Islands @uni_iceland @uisens @DEEPprojects.slides: https://t.co/bZsgQ2qqaz.. pic.twitter.com/ze95rTzhwh — Morris Riedel (@MorrisRiedel) December 20, 2019 Sieh dir diesen Beitrag auf Instagram an Slides available of #HPC #QuantumComputing #QuantumAnnealing D-Wave Systems for AI Applications training at MTA Sztaki...