From Computer Science Wiki
What are we going to learn today?[edit]
Hello World!
HL STUDENTS[edit]
- Outline the use of genetic algorithms.
- Outline the structure of neural networks.
- Compare applications that use neural network modeling.
- Compare different ways in which neural networks can be used to recognize patterns.
- Identify the key structures of natural language.
- Discuss the differences between human and machine learning when related to language.
- Outline the evolution of modern machine translators.
- Describe the role of chatbots to simulate conversation.
- Discuss the latest advances in natural language processing.
- Please answer these 2 questions in class (2016 8c and 8d):
- Distinguish between the structures of natural language that can be learnt by robots and those that cannot
- Discuss the difference between human and machine learning in relation to natural language processing
SL STUDENTS[edit]
- Your IA was due. Please use this time to complete any missing parts.
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What is our home learning?[edit]
- Please see google classroom
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How am I being assessed today?[edit]
I will assess you formatively today, and make a professional judgement to what extent you understand our learning material. I will use observation, your written work, answers to questions, and contribution to class discussions as data to make my decisions.
I will also ask you to complete a self-assessment which I will use to help me gauge how well you think you understand our material in class.
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As a computer scientist, you have:[edit]
- Confidence in dealing with complexity
- Persistence in working with difficult problems
- Tolerance for ambiguity
- The ability to deal with open-ended problems
- The ability to communicate and work with others to achieve a common goal or solution
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Credits[edit]
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