Sp208081ss
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Domestic engineering student enrolments in Australia have been declining since 2008 while international enrolments have increased, leading to a higher proportion of international students. A 2020 study modeled the financial resilience of individual Australian universities facing lost revenue from reductions in international students due to COVID-19, finding impacts varied significantly between institutions. Separate data showed engineering graduates from one Australian university found employment or further study at higher rates than national averages, with most working in professional roles rather than technical or trade roles.
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Saturday 7.30am-8pm
Web Site:
https://elysiumpro.in/
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Youtube Geotagged Video:
https://youtu.be/QULY6XfuMyo
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際際滷show Images (Google Photos):
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GBP Listing:
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Serving Areas:
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Google Site:
https://elysiumpro-project-center.business.site
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Google Sheet: https://docs.google.com/spreadsheets/d/1uXA07zxrUx2FCnBZWH80PpBZQrrX-2q1UBBe_0k3Yeo
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Google Document: https://docs.google.com/document/d/1BU4ZHW_41XJm2lvTq9pWYUpZILAEmF9dWEw7-DBbWoE
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Google 際際滷s: https://docs.google.com/presentation/d/1uF8q6ueJWcAnhKTQsZxLE0Bo9PwgRNwCeuGV_ZgbSyU
*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*Machine Learning - Classification Algorithms
Machine Learning - Classification Algorithmsresming1
油
This covers traditional machine learning algorithms for classification. It includes Support vector machines, decision trees, Naive Bayes classifier , neural networks, etc.
It also discusses about model evaluation and selection. It discusses ID3 and C4.5 algorithms. It also describes k-nearest neighbor classifer.Introduction to Natural Language Processing - Stages in NLP Pipeline, Challen...
Introduction to Natural Language Processing - Stages in NLP Pipeline, Challen...resming1
油
Lecture delivered in 2021. This gives an introduction to Natural Language Processing. It describes the use cases of NLP in daily life. It discusses the stages in NLP Pipeline. It highlights the challenges involved covering the different levels of ambiguity that could arise. It also gives a brief note on the present scenario with the latest language models, tools and frameworks/libraries for NLP.Tesla-Stock-Analysis-and-Forecast.pptx (1).pptx
Tesla-Stock-Analysis-and-Forecast.pptx (1).pptxmoonsony54
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this is data science ppt for tesla stock (linear regression)Complete guidance book of Asp.Net Web API
Complete guidance book of Asp.Net Web APIShabista Imam
油
Unlock the full potential of modern web development with the Complete Guidance Book of ASP.NET Web APIyour all-in-one resource for mastering RESTful services using Microsofts powerful ASP.NET Core framework. This book takes you on a step-by-step journey from beginner to expert, covering everything from routing and controllers to security, performance optimization, and real-world architecture.How Binning Affects LED Performance & Consistency.pdf
How Binning Affects LED Performance & Consistency.pdfMina Anis
油
Whats Inside:
What Is LED Binning?
The process of sorting LEDs by color temperature, brightness, voltage, and CRI
Ensures visual and performance consistency across large installations
ｨ Why It Matters:
Inconsistent binning leads to uneven color and brightness
Impacts brand perception, customer satisfaction, and warranty claims
Key Concepts Explained:
SDCM (Standard Deviation of Color Matching)
Recommended bin tolerances by application (e.g., 13 SDCM for retail/museums)
How to read bin codes from LED datasheets
The difference between ANSI/NEMA standards and proprietary bin maps
Advanced Practices:
AI-assisted bin prediction
Color blending and dynamic calibration
Customized binning for high-end or global projectsAd
Sp208081ss
- 1. From: Australian Council of Engineering Deans. (2019). Australian Engineering Education Statistics - March 2020, Carindale, Queensland: ACED Inc. Figure 3 Domestic and international student enrolments, 2008-18 Figure 4 Domestic and international student commencing enrolments, 2008-18
- 2. From: Marshman, I. & Larkins, F. (2020). Modelling individual Australian universities resilience in managing overseas student revenue losses from the COVID-19 pandemic, Melbourne, MCSHE.
- 3. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Census Deakin Professional Engineering Engineering Technology Other Professional Other Not working Unknown Where MEng graduates from Uni X were working (2016 and 2017 GOS), compared to the national outcomes (2016 census) Uni X
- 4. More MEng details from 2016 census
- 5. 2016 census MEng proportions by broad engineering discipline
- 6. 2016 census MEng proportions by gender
- 7. A new professional interest for me