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MOOC
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MOOC
Understand essential human resources concepts and theories and analyze contemporary issues in the management of human capital.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hospitality industry Corporate culture Tourism Personnel management
- Resource Type:
- MOOC
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MOOC
This course covers a wide variety of topics in machine learning and statistical modeling. While mathematical methods and theoretical aspects will be covered, the primary goal is to provide students with the tools and principles needed to solve the data science problems found in practice. This course also serves as a foundation on which more specialized courses and further independent study can build. This course was designed as part of the core curriculum for the Center for Data Science's Masters degree in Data Science. Other interested students who satisfy the prerequisites are welcome to take the class as well. Note that class is intended as a continuation of DS-GA-1001 Intro to Data Science, which covers some important, fundamental data science topics that may not be explicitly covered in this DS-GA class (e.g. data cleaning, cross-validation, and sampling bias).
- Course related:
- LGT6801 Guided Study in Logistics I
- Subjects:
- Computing and Mathematics and Statistics
- Keywords:
- Big data Data mining Machine learning Mathematical statistics -- Data processing
- Resource Type:
- MOOC
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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
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
- Course related:
- EIE6207 Theoretical Fundamental and Engineering Approaches for Intelligent Signal and. Information Processing and COMP4434 Big Data Analytics
- Subjects:
- Computing
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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MOOC
Does your business need a make-over? Are you unsure how to start? Having an innovative business model is key for a profitable business and growth. In this business and management course, you will learn how to design, test and implement new business models for sustainable success. This course introduces you to the main topics of business model innovation. You will learn what drives business model innovation and why it is valuable to you and your business. You will apply practical tools to (re)design and test a business model. Be inspired by real-life business model examples from fellow entrepreneurs and learn from leading experts who design business model innovations. By the end of this course, you will be able to structure your thinking and communicate your business model ideas and learn how to improve your own business. Start the course anytime, and complete it at your own pace! What you'll learn: What a business model is. Why business models matter to your firm and the value they bring. How business model innovation improves business performance. How tooling can help you to innovate your business model.in
- Subjects:
- Management
- Keywords:
- Business planning Strategic planningIndustrial management
- Resource Type:
- MOOC
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MOOC
You will also learn about the practical factors that need to be taken into consideration during the transition process, i.e. the competency of your people and your IT, in order to successfully implement a new business model. What you'll learn: How to create a business model roadmap. How to plan concrete actions to realize a new business model. How to find partners to realize a new business model. In this business and management course, you will learn how to make a practical action plan to implement your new business model. Designing a new business model is one thing, but how do you actually put it into practice? How do you move from your current model to a new business model? You will create a business model roadmap that will include practical activities that take into consideration the possible risks associated with moving to a new business model.
- Subjects:
- Management
- Keywords:
- Business planning Strategic planning Industrial management
- Resource Type:
- MOOC
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MOOC
Understand the power of a luxury brand and gain the business skills needed to provide premium goods and services within the hotel and tourism industry
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Luxury goods industry Hospitality industry Luxuries Bring (Marketing)
- Resource Type:
- MOOC
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MOOC
Unravel the mysteries and meanings of life and death by exploring the journey from birth through ageing and illnesses to death.
- Subjects:
- Philosophy
- Keywords:
- Philosophy Death Life
- Resource Type:
- MOOC
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MOOC
With rapid globalization and proliferation of social media, businesses and organizations are in face of enormous communication challenges. How to communicate effectively on social media, how to manage social media data analysis as well as handling fake news are definitely at the top of the list.
By seeing challenge as opportunity, this course aims to unfold the communication challenges induced by the rise of social media in business corporations and most importantly, offer solutions to overcome these challenges. In addition, the course serves presents a vantage point to forge an interface of synergy between academics and practitioners to discuss and address global communication challenges. Participants can benefit from meaningful synergy between academics and practitioners as well as learning materials and meaningful multilateral discussions surrounding authentic communication cases and industrial practices engaging both instructors and participants. In sum, this course provides insights for business leaders, senior managerial members, and communication professionals by discussing the major communication challenges encountered by businesses around the world which in turn, helps the participants to advance their career in the ever-changing communication environment.
- Subjects:
- Communication
- Keywords:
- Social media Information technology -- Management
- Resource Type:
- MOOC
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MOOC
This self-paced online course will help students to improve their language skills, find out how they can be an independent learner and become a life-long learner, increase their knowledge of effective study skills, and balance their study and life by highlighting efficient uses of time and healthy study practices. Created by the English Language Centre of The Hong Kong Polytechnic University.
- Keywords:
- Study skills English language -- Study teaching
- Resource Type:
- MOOC
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MOOC
Are you an educator? Have you ever wanted to understand more about how to design your class to make better use of educational technology – whether fully online or in blended contexts? Would you like to learn from those who have extensive practical experience with online technologies? The Learning to Teach Online (LTTO) MOOC will help you develop a working understanding of successful online teaching strategies that you can apply in your own practice. The course is based upon the multi award winning open educational resource developed by Dr Simon McIntyre and Karin Watson. Integrating online technologies into your teaching can be a challenging prospect, and it can be difficult to know how to approach it effectively for the benefit of both students and yourself. No one knows your own content and teaching strengths better than you, and the “one size fits all” formula doesn’t always suit everyone. No matter what type of technology you are interested in exploring or your level of experience, this course will help you draw on your teaching strengths and find the approach that is right for you, your students and your educational context. This course will guide you through your journey of understanding how online technologies can enhance your course design. You will have the opportunity to develop your understanding of effective online teaching practices and their relationship to the use of different technologies. You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments.
- Keywords:
- Web-based instruction Distance education Computer-assisted instruction
- Resource Type:
- MOOC
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MOOC
Learning how to learn: a process we all engage in throughout our lives, but no single method of learning guarantees success. This free course, Learning how to learn, aims to make the process of learning much more explicit by inviting you to apply various ideas and activities to your own study as a way of increasing your awareness of your own learning. Most learning has to be an active process and this is particularly true of learning how to learn.
- Keywords:
- Study skills Learning
- Resource Type:
- MOOC
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MOOC
This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.
- Keywords:
- Study skills Learning
- Resource Type:
- MOOC
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MOOC
Based on one of the most popular open online courses in the world, this course gives you easy access to the learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. No matter what your current skill level, using these approaches can help you master new topics, change your thinking and improve your life.
This course explains:
* Why sometimes letting your mind wander is an important part of the learning process
* How to avoid "rut think" in order to think outside the box
* The value of metaphors in developing understanding
* A simple, yet powerful, way to stop procrastinating
If you’re already an expert, these strategies will turbocharge your learning, including test-taking tips and insights that will help you make the best use of your time on homework and problem sets.
We all have the tools to learn what might not seem to come naturally to us at first—the secret is to understand how the brain works so we can unlock its power.
Filled with animations, application questions, and exercises, this course makes learning easy and fun!
- Keywords:
- Study skills Learning
- Resource Type:
- MOOC
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MOOC
This course aims to introduce you to the concept of Service-Learning, and to equip you with the basic knowledge, attitudes and skills required for planning and implementing a Service-Learning project effectively. It consists of an Introduction, 4 instructional units, and an End-of-Course Test. You will be awarded a Certificate of Completion upon successfully completing all the requirements of the course.
- Course related:
- APSS2S09 Service Leadership through Serving Children and Families with Special Needs
- Keywords:
- Service learning
- Resource Type:
- MOOC
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MOOC
All of us carry explicit or implicit theories of learning. They manifest themselves in the ways we learn, the ways we teach, and the ways we think about leadership and learning. In Leaders of Learning, you will identify and develop your personal theory of learning, and explore how it fits into the shifting landscape of learning. This isn’t just about schools, it’s about the broader and bigger world of learning. The education sector is undergoing great transformation, and in the coming decades will continue to change. How we learn, what we learn, where we learn, and why we learn; all these questions will be reexamined. In Leaders of Learning, we will explore learning, leadership, organizational structure, and physical design.
- Course related:
- APSS1L01 Tomorrow's Leaders and APSS2A01 Service Leadership
- Subjects:
- Psychology
- Keywords:
- Learning Psychology of Learning
- Resource Type:
- MOOC
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MOOC
Learn about the integrative power of knowledge management, Big Data and Cloud Computing, and how they impact the new business era.
- Subjects:
- Business Information Technology, Management, Computing, and Industrial and Systems Engineering
- Keywords:
- Big data Knowledge management
- Resource Type:
- MOOC
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MOOC
The ISRM is extremely grateful to Prof. John Hudson for preparing this series of downloadable ISRM Lectures.
Lecture 1 - Principles - Introduction
Lecture 2 - Rock stress
Lecture 3 - Stress path, enginering failures
Lecture 4 - Complete force-displacement curve
Lecture 5 - Fracture frequency
Lecture 6 - In situ rock failure
Lecture 7 - Archeopteryx and Open Cast Coal Mine
Lecture 8 - Modelling and Design
Lecture 9 - Failure and profilagons
Lecture 10 - SI and TA
Lecture 11 - JinPing II project
Lecture 12 - Cultural
Lecture 13 - Writing a paper
Lecture 14 - Rock Mechanics Future
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Rock mechanics Engineering geology
- Resource Type:
- MOOC
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MOOC
Japanese language has become extremely popular among learners in recent years, since it is the best way to explore one of the richest and most mysterious cultures of the modern East. This course is aimed at those who are interested in understanding Japanese way of thinking and view of the world through learning the language. Course materials are provided by the teaching staff from the Department of Japan Studies. Upon completion of this course the learners will be able: 1. To read simple texts in Japanese and write using the hiragana and katakana scripts as well as the kanji characters. 2. To understand basic vocabulary in speech and use it in everyday communicative situations. 3. To form their own sentences using the provided grammar material. The course provides extensive materials on Japanese grammar, phonetics, writing system and communication etiquette, as well as exercises for learners to apply the new knowledge. The vocabulary of the course consists of more than 200 words. Those who are interested in continuing their learning of Japanese language can proceed to the second part of this course - Japanese for beginners 2.
- Course related:
- CBS2501 Introductory Japanese 1
- Subjects:
- Japanese Language
- Keywords:
- Japanese language -- Study teaching
- Resource Type:
- MOOC
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MOOC
Why do we study statistics? The field of statistics provides professionals and scientists withconceptual foundations and useful techniques for evaluating ideas, testing theories, and - ultimately -uncovering the truth in any situation. This course will familiarize you with data and basic statistical concepts, enabling you to analyze data using graphs and statistics. We'll start with types of data, controlled experiments,and observational study. You'll learn touse ahistogram, a representation of the distribution of numerical data, to easily arrange data. You will learn about basic concepts of statistics, such as average and standard deviation. Methods of using the normal approximation to solve a problem will be covered in this course. Inaddition, we'll discussthe correlation coefficient and the regression method in order to represent the relationship between two variables.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Statistics
- Resource Type:
- MOOC