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Learn how to make a great resume by taking inspiration from professional resume examples written by other people with a similar background as you.
- Keywords:
- Applications for positions Job hunting Résumés (Employment)
- Resource Type:
- Others
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Video
The relationship between language experience and cognitive control (e.g., working memory, inhibitory control, cognitive flexibility) could be very well illustrated by the cognitively demanding language experience of interpreting training. A series of our empirical studies with interpreting students (see DONG 2023 for a review), together with studies with professional interpreters in the literature, suggest that interpreting training may first enhance students’ working memory (WM) updating ability and then WM spans, with probable some decline of WM updating ability between the shift from the two WM abilities. Similar patterns may appear in other cognitive control functions, such as cognitive flexibility (first with switching cost reduced and then with mixing cost reduced) and multi-tasking coordination. These results could be explained by the task features of interpreting (including task schemas and their cognitive loads) (see DONG & LI 2020), suggesting a close and dynamic relationship between language experience and cognitive control.
Event date: 4/12/2023
Speaker: Prof. Yanping Dong (Zhejiang University)
Hosted by: Faculty of Humanities
- Subjects:
- Translating and Interpreting and Language and Languages
- Keywords:
- Cognition Language languages Translating interpreting
- Resource Type:
- Video
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Video
Have you ever seen someone give a speech or presentation, and the whole time they stood stiffly at the lectern or podium? It can be boring to watch someone give a speech or presentation when they don’t use movement to keep you engaged. The 2018 World Champion of Public Speaking, Ramona Smith, will help you plan how to effectively use appropriate body language to captivate your audience!
- Keywords:
- Expression Public speaking Body language Nonverbal communication
- Resource Type:
- Video
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MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
- Course related:
- AAE5103 Artificial Intelligence in Aviation Industry
- Subjects:
- Computing
- Keywords:
- Machine learning Artificial intelligence
- Resource Type:
- MOOC
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MOOC
Everyone wishes to know the future!
Although we do not have the magic crystal ball to show us the future, we have interviewed more than forty (40+) international industrialists, academics, and business leaders. They are experts in their area and the drivers behind the industry. Our guests will share their views of the future and potential of the fashion industry with you.
During the interviews, we focused on the following questions:
What are the current challenges?
What are the new main directions in the coming five to ten (5 – 10) years?
What kind of new technologies will become popular?
Will there be any new business models (new ways of doing business)?
What role can a government play?
Will there be any ideology that may bring a big impact?
We fully understand that learners may face the obstacle of terminology and background. We will introduce the background of the fashion supply chain first. Then, we take the learners to attend the interviews week by week, sector by sector. Most importantly, the course content is bilingual in Chinese and English. Learners will enjoy our learning supports.
Suitable for students, consumers, anyone who is interested or working in the fashion business.
- Subjects:
- Fashion retailing and merchandising
- Keywords:
- Retail trade -- Management Clothing trade -- Management Business logistics
- Resource Type:
- MOOC
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MOOC
Aviation is essential for global business as it supports worldwide travelling and cargo transportation. Before COVID-19, the economic benefits generated by the industry across countries showed a growing trend. This course is aimed to provide learners with a broad understanding of airport services in different phases in terms of design and engineering. Learners will receive basic knowledge of how an airport operates. Key topics include the future perspective of air traffic control, air traffic flow management, airport management, facility planning, airport terminal design for the post-pandemic world and ground services.
- Subjects:
- Aeronautical and Aviation Engineering and Logistics
- Keywords:
- Airports -- Management Aeronautics Commercial -- Management Airlines -- Management
- Resource Type:
- MOOC
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Video
We introduce a Dimension-Reduced Second-Order Method (DRSOM) for convex and nonconvex (unconstrained) optimization. Under a trust-region-like framework, our method preserves the convergence of the second-order method while using only Hessian-vector products in two directions. Moreover; the computational overhead remains comparable to the first-order such as the gradient descent method. We show that the method has a local super-linear convergence and a global convergence rate of 0(∈-3/2) to satisfy the first-order and second-order conditions under a commonly used approximated Hessian assumption. We further show that this assumption can be removed if we perform one step of the Krylov subspace method at the end of the algorithm, which makes DRSOM the first first-order-type algorithm to achieve this complexity bound. The applicability and performance of DRSOM are exhibited by various computational experiments in logistic regression, L2-Lp minimization, sensor network localization, neural network training, and policy optimization in reinforcement learning. For neural networks, our preliminary implementation seems to gain computational advantages in terms of training accuracy and iteration complexity over state-of-the-art first-order methods including SGD and ADAM. For policy optimization, our experiments show that DRSOM compares favorably with popular policy gradient methods in terms of the effectiveness and robustness.
Event date: 19/09/2022
Speaker: Prof. Yinyu Ye (Stanford University)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex programming Nonconvex programming Mathematical optimization
- Resource Type:
- Video
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Video
A short video on dyslexia for the general public.
許多小朋友可能喺學習中文字時會遇上困難，花上很多時間溫習默書和考試但成績仍然強差人意，對文字和功課產生恐懼或厭惡， 他們有可能正受讀寫障礙的困擾。究竟什麼是讀寫障礙？我們如何地識別讀寫障礙既兒童呢？坊間流傳不同治療方法，是否有效？
- Subjects:
- Health Sciences and Communication
- Keywords:
- Reading disability Dyslexia Language disorders
- Resource Type:
- Video
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MOOC
Operations Research (OR) is a field in which people use mathematical and engineering methods to study optimization problems in Business and Management, Economics, Computer Science, Civil Engineering, Industrial Engineering, etc. This course introduces frameworks and ideas about various types of optimization problems in the business world. In particular, we focus on how to formulate real business problems into mathematical models that can be solved by computers.
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Keywords:
- Operations research
- Resource Type:
- MOOC
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MOOC
Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
Accordingly, in this course, you will learn:
- The major steps involved in tackling a data science problem.
- The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
- How data scientists think!
- Course related:
- LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
- Subjects:
- Business Information Technology and Computing
- Keywords:
- Electronic data processing Data mining Problem solving
- Resource Type:
- MOOC
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