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Viewing stevetao's Bookmarks
เจ้าพ่อเซี้ยงไฮ้-ยอดรัก สลักใจ - YouTube
[https://www.youtube.com/watch?v=TEIkygwfizU] -
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stevetao
เจ้าพ่อเซี่ยงไฮ้ - นิตยา บุญสูงเนิน (Official MV) - YouTube
[https://www.youtube.com/watch?v=sbcmN7r49uA] -
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stevetao
พ่อจ๋าอย่าร้องไห้ (ธีรนัย ณ หนองคาย) - YouTube
[https://www.youtube.com/watch?v=kyXVsXsR30g&list=RDn5H8ul2rnwA&index=2] -
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stevetao
Diva Dance from The Fifth Element.Full version. - YouTube
[https://www.youtube.com/watch?v=a7Dh5QoXv2c] -
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stevetao
(16) พิษณุโลก กินอะไรดี ? by Wongnai - โพสต์ | Facebook
[https://www.facebook.com/1155185271190649/posts/4621456244563517/] -
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stevetao
Bloom’s Taxonomy for Course Planning, Web 2.0 Tools & Gamification – Faculty Learning Corner
[http://flc.learningspaces.alaska.edu/?p=3616] -
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stevetao
Home: In Support of Excellence - In Support of Excellence
[https://designingoutcomes.com/] -
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stevetao
Taxonomies of (Six) Educational Objectives | Sense and Sensation
[http://www.senseandsensation.com/2012/03/taxonomies-of-six-educational.html] -
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stevetao
Bloom's Taxonomy Verbs - Free Chart and Handout- Fractus Learning
[https://www.fractuslearning.com/blooms-taxonomy-verbs-free-chart/] -
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stevetao
The Best Resources For Helping Teachers Use Bloom’s Taxonomy In The Classroom | Larry Ferlazzo's Websites of the Day...
[https://larryferlazzo.edublogs.org/2009/05/25/the-best-resources-for-helping-teachers-use-blooms-taxonomy-in-the-classroom/] -
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stevetao
Bloom's Taxonomy - Virtual Library
[https://www.virtuallibrary.info/blooms-taxonomy.html] -
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stevetao
Designing Learning Experiences for 21st-century Learning and Depth of Knowledge
[https://www.nuiteq.com/company/blog/-designing-learning-experiences-for-21st-century-learning-and-depth-of-knowledge] -
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Impact on Twitter: “This question grid is amazing! Combining Bloom's & Marzano it details enough Qs to keep your pupils thinking
[https://twitter.com/impactwales/status/1075278113125347329] -
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stevetao
CG Prof. Development / --Bloom's Taxonomy
[https://www.centergrove.k12.in.us/Page/7844] -
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stevetao
เอกสารคำสอน ประเด็นคัดสรรทางการศึกษา Pages 101 - 150 - Text Version | AnyFlip
[http://anyflip.com/jalq/nndr/basic/101-150] -
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stevetao
การโค้ชเพื่อการรู้คิด พิมพ์ครั้งที่ 5_1544714623-Flip Book Pages 251-300 | PubHTML5
[https://pubhtml5.com/eghd/qabw/basic/251-300] -
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การจัดการเรียนรู้และการจัดการชั้นเรียน : The STUDIES Model: กำหนดจุดมุ่งหมายการเรียนรู้
[https://orayaseeda.blogspot.com/2019/02/blog-post_32.html] -
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stevetao
Design Thinking & the Marzano Taxonomy
[https://mattdrewettecard.weebly.com/blog/design-thinking-the-marzano-taxonomy?fbclid=IwAR3KeI_7Ujy3M-qJWZDDuTIR8YEqfs9rSlPJjhT27hJ-DpXAJT8ksUM8JT4] -
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stevetao
Resources – Dee Fink & Associates
[https://www.deefinkandassociates.com/index.php/resources/] -
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(16) Med Ed Tweet | Facebook
[https://www.facebook.com/mededtweet/] -
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stevetao
SoLA Quality Assurance
[http://sola.kmutt.ac.th/qa/] -
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Tools for Systems Thinkers: The 6 Fundamental Concepts of Systems Thinking | by Leyla Acaroglu | Disruptive Design | Medium
[https://medium.com/disruptive-design/tools-for-systems-thinkers-the-6-fundamental-concepts-of-systems-thinking-379cdac3dc6a] -
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แนะนำ 10 แชมพูกำจัดเหา รักษาเหาเกลี้ยงไม่มีเหลือ! – AkeruFeed
[https://www.akerufeed.com/beauty/10-best-lice-shampoos] -
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stevetao
5ร้าน'ข้าวขาหมู'อร่อยเด็ด จนลืมเรื่องน้ำหนักไปเลย! | เดลินิวส์
[https://www.dailynews.co.th/article/805360] -
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stevetao
Learning Machine Learning | Cloud AI | Google Cloud
[https://cloud.google.com/products/ai/ml-comic-1] -
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Main Types of Neural Networks and its Applications — Tutorial | Towards AI
[https://medium.com/towards-artificial-intelligence/main-types-of-neural-networks-and-its-applications-tutorial-734480d7ec8e] -
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Jeremy Howard on Twitter: “What's the best way to learn about advantage-actor-critic (A2C) reinforcement learning? A comic of course! Talented @fastdotai student @rgilman33 has you covered: https://t.co/N4uPs6OeqQ https://t.co/ZWhe0PxArV“ / Twitter
[https://twitter.com/jeremyphoward/status/955179789282828288] -
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GRAIL 2020: 3rd Workshop on GRaphs in biomedicAl Image anaLysis
[https://grail-miccai.github.io/] -
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Towards understanding glasses with graph neural networks | DeepMind
[https://deepmind.com/blog/article/Towards-understanding-glasses-with-graph-neural-networks] -
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A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage) | by Kung-Hsiang, Huang (Steeve) | Towards Data Science
[https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3] -
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An Illustrated Guide to Graph Neural Networks | by Rishabh Anand | dair.ai | Medium
[https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783] -
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Cancer blood tests: Lab tests used in cancer diagnosis - Mayo Clinic
[https://www.mayoclinic.org/diseases-conditions/cancer/in-depth/cancer-diagnosis/art-20046459] -
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Tumor Marker Tests: MedlinePlus Medical Test
[https://medlineplus.gov/lab-tests/tumor-marker-tests/] -
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Physical and Radiobiological Evaluation of Radiotherapy Treatment Plan | IntechOpen
[https://www.intechopen.com/books/evolution-of-ionizing-radiation-research/physical-and-radiobiological-evaluation-of-radiotherapy-treatment-plan] -
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Frontiers | The Role of Machine Learning in Knowledge-Based Response-Adapted Radiotherapy | Oncology
[https://www.frontiersin.org/articles/10.3389/fonc.2018.00266/full] -
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View Image
[https://www.jmp.org.in/viewimage.asp?img=JMedPhys_2012_37_4_174_103602_f3.jpg] -
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Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System | Protocol
[https://www.jove.com/t/57411/radiation-planning-assistant-streamlined-fully-automated-radiotherapy] -
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An overview of radiotherapy | Society of Radiographers
[https://www.sor.org/public-and-patient/overview-radiotherapy] -
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7 ขั้นตอนในการเรียนรู้ Deep Learning สำหรับผู้เริ่มต้น | by Athiwat | Machines School | Medium
[https://medium.com/machines-school/7-%E0%B8%82%E0%B8%B1%E0%B9%89%E0%B8%99%E0%B8%95%E0%B8%AD%E0%B8%99%E0%B9%83%E0%B8%99%E0%B8%81%E0%B8%B2%E0%B8%A3%E0%B9%80%E0%B8%A3%E0%B8%B5%E0%B8%A2%E0%B8%99%E0%B8%A3%E0%B8%B9%E0%B9%89-deep-learning-%E0%B8%AA%E0%B8%B3%E0%B] -
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Artificial Intelligence, Machine Learning, และ Deep Learning แตกต่างกันอย่างไร? | by Athiwat | Machines School | Medium
[https://medium.com/machines-school/artificial-intelligence-machine-learning-%E0%B9%81%E0%B8%A5%E0%B8%B0-deep-learning-%E0%B9%81%E0%B8%95%E0%B8%81%E0%B8%95%E0%B9%88%E0%B8%B2%E0%B8%87%E0%B8%81%E0%B8%B1%E0%B8%99%E0%B8%AD%E0%B8%A2%E0%B9%88%E0%B8%B2%E0%B8%87%E] -
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CS231n Convolutional Neural Networks for Visual Recognition
[https://cs231n.github.io/convolutional-networks/#overview] -
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The mostly complete chart of Neural Networks, explained | by Andrew Tch | Towards Data Science
[https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464] -
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Cheat Sheets for AI, Machine Learning, Neural Networks, Big Data & Deep Learning - Thinkport
[https://thinkport.digital/cheat-sheets-for-ai-machine-learning-neural-networks-big-data-deep-learning/] -
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Dive into Deep Learning — Dive into Deep Learning 0.15.0 documentation
[https://d2l.ai/?fbclid=IwAR3GO88NuTbAgsChjxljOsUwoo7SpdPkJmBU3ZKuknjQ6hCq9MdvS9DzKLU] -
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Massively parallel programming with GPUs — Computational Statistics in Python 0.1 documentation
[https://people.duke.edu/~ccc14/sta-663/CUDAPython.html?fbclid=IwAR2cUrr-4CwGZz7R4tEbEKU9xPR5c9mRwXb-AmC9GpemTcd06bqcqoWqRkA] -
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Here’s what's wrong with maturity models | by Christiaan Verwijs | The Liberators | Medium
[https://medium.com/the-liberators/whats-wrong-with-maturity-models-abfb6dd97607] -
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Why Maturity Models Don't Work | Barry O'Reilly
[https://barryoreilly.com/why-maturity-models-dont-work/] -
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Geeking out with UEFI – Out of Office Hours
[https://oofhours.com/2019/09/02/geeking-out-with-uefi/] -
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Elonka's List of Famous Unsolved Codes and Ciphers
[https://www.elonka.com/UnsolvedCodes.html] -
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Growth Mindset กับการพัฒนานวัตกรรม โดยศศิมา สุขสว่าง
[https://www.sasimasuk.com/16655164/fixed-mindset-%E0%B8%81%E0%B8%B1%E0%B8%9A-growth-mindset-%E0%B8%81%E0%B8%B1%E0%B8%9A%E0%B8%81%E0%B8%B2%E0%B8%A3%E0%B8%9E%E0%B8%B1%E0%B8%92%E0%B8%99%E0%B8%B2%E0%B8%9C%E0%B8%A5%E0%B8%B4%E0%B8%95%E0%B8%A0%E0%B8%B1%E0%B8%93%] -
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