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Date | Time (Timezone) | Event | Workshop/Training courses | Format/Venue | |||||
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April May 2022 | |||||||||
11 Apr 12 Apr
| 13:3000-16:3000 13:3000-16:30 00 (AEST) | Skills SharpeningNCI HPC Toolkit | Introduction to Machine Learning using Python: Introduction & Linear RegressionOpenMP | Online - Fully booked*Fully booked, a new date of the course is scheduled below. | |||||
12 Apr
| 9:30-12:30 9:30-12:30 10:00-13:00 (AEST) | Skills Sharpening | Getting started with HPC using PBS Pro | Introduction to Machine Learning using Python: SVM & Unsupervised Learning | Online - Fully booked*Online | ||||
19 Apr 20 Apr
| 13:00-16:00 13:00-16:00 (AEST) | NCI-NVIDIA bootcamps | Accelerated Data Science GPU BootcampDistributed Deep Learning | Online | |||||
25 Apr 26 Apr
| 13:30-16:30 30 (AEST) 13:30-16:3 30 (AEST) | Skills Sharpening | Introduction to Machine Learning using Python: Classification | Learn to Program: R (beginner) | OnlineOnline - Fully booked* | ||||
29 Apr | Deadline reminder | APAC HPC-AI competition | Please register your participation by COB of this date | Online | |||||
May 2022 | |||||||||
14:00-15:30 (AEST) | Webinar Series | Introduction to Gadi | Webinar, online | ||||||
02 03 | 13:0030-16:0030 (AEST) 13:0030-16:00 30 (AEST) | NCI HPC Toolkit | Introduction to OpenMP | Skills Sharpening | Data Manipulation and Visualisation in R | OnlineOnline - Fully booked, a new date of the course is scheduled below. | |||
03 | 10 13: 0030-16:30 13: 0030-16:30 (AEST) | Skills Sharpening | Introduction to Machine Learning using PythonR: SVMIntroduction & Unsupervised LearningLinear Regression | Online - Fully booked* | |||||
04 05 | 13:00-16:00 13:00-16:00 (AEST) | NCI-NVIDIA bootcamps | Distributed Deep Learning | Online | |||||
04 05 | 13:30-16:30 (AEST) 13:30-16:30 (AEST) | Skills Sharpening | Learn to Program: R (beginner)Introduction to Machine Learning using R: Classification | Online | |||||
05 | 1411:0050 - 1517:30 00 (AEST) | Webinar Series | Introduction to Gadi | Webinar, online | AI/ML Showcase | AI/ML in Drug Design and Discovery | Online | ||
10 | 11 | May 202213:3000-1612:30 00 (AEST) | TechTake 2022 series | Making the work-efficient parallel prefix sum do less work | Online | ||||
| 13:30-16:30 (AEST) | Skills Sharpening | Data Manipulation and Visualisation in RIntroduction to Machine Learning using R: SVM & Unsupervised Learning | Online | 16 May |||||
June 2022 | |||||||||
17 May | 13:30-16:30 13:30-16:30 (AEST) | Skills Sharpening | Introduction to Machine Learning using R: Introduction & Linear RegressionVersion Control with Git | Online | |||||
19 May | 13:0030-16:0030 (AEST) | Skills Sharpening | Data Visualisation in Python | Online | |||||
| 13:3013:00-16:00 30 (AEST) | NCI-NVIDIA bootcamps | Skills Sharpening | Beyond the Basics: JuliaCUDA Python GPU Bootcamp | Online | ||||
23 May 24 May
| 13:3000-16:3000 13:3000-16:30 00 (AEST) | Skills SharpeningNCI HPC Toolkit | Introduction to Machine Learning using R: ClassificationOpenMP | Online | |||||
| 11:50 - 17:00 (AEST) | AI/ML Showcase | AI/ML in Drug Design and Discovery | Online | |||||
31 May | 11:00-12:00 (AEST) | TechTake 2022 series | Making the work-efficient parallel prefix sum do less workBenchmarking VASP6 on Gadi | Online | |||||
| 13:30-16:30 (AEST) | Skills Sharpening | Introduction to Machine Learning using R: SVM & Unsupervised Learning | Online | |||||
June 2022 | |||||||||
| 13:30-16:30 (AEST) | Skills Sharpening | Version Control with Git | Online | |||||
| 13:30-16:30 (AEST) | Skills Sharpening | Data Visualisation in Python | Online | |||||
| 13:30-16:30 (AEST) | Skills Sharpening | Beyond the Basics: Julia | Online | |||||
| 13:00-16:00 13:00-16:00 (AEST) | NCI HPC Toolkit | Introduction to OpenMP | Online | |||||
| 11:00-12:00 (AEST) | TechTake 2022 series | Benchmarking VASP6 on Gadi | Online |
Fully booked*: When the event is marked as "fully booked", you are still welcome to register and your name will be added on the waiting list automatically. The course organizer will contact you to confirm the next available course date/time.
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Fully booked*: When the event is marked as "fully booked", you are still welcome to register and your name will be added on the waiting list automatically. The course organizer will contact you to confirm the next available course date/time.
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