5a) which sentences are opening(0) / closing (c) remarks? 1 i must go now.2 it was nice to hear from you.3 well, i think that's about it.4 how are you? 5 thanks for your email.6 t haven't heard from you for ages.7 write soon.8 well, that's all for now.b) portfolio: use your answersin exs. 4 & 5a to write a shortemail to your friend aboutwhat you are going to do thisweekend (50-60 words).
1. In the night the American lady lay without sleeping because the train was a rapide.
2. The room was in disorder, books and papers were lying all over the place.
3. The table was laid and the hostess invited her guests to the dining-room.
4. You are young and a great future lies in front of you.
5. After he had made inquiries into the matter he laid the facts before the committee.
6. The American lady lay awake and waited for a wreck.
7. From the airplane we could see the valley lying below.
8. The mother laid her hand on the child's shoulder and he calmed down at once.
9. They are redecorating the flat and intend to lay the floors with carpets.
10. She picked up the book which lay open on the table and started reading.
11. Some minerals lie deep in the ground.
The article is devoted to the innovative technology for data visualisation.
The article deals with the use of VR to deliver data visualisation in a virtual environment.
The article touches upon the issues of current setbacks to find an application that can combine Artificial Intelligence, Big Data and Virtual/Augmented Reality.
The article is about the platform which uses smart mapping, smart routines, machine learning and natural language processing to identify important patterns and display them in the virtual environment, which can then be customised by users. The platform can be applied to any industry that relies on data analytics, and lets users examine up to 10 dimensions of data.
The purpose of the article is to introduce the audience to the Merging Virtual Reality and Big Data systems.
Much attention is given to the adaptive and disruptive features of existing VR applications.
It is reported that the human brain can only process so much data before it becomes meaningless. However, through analysing the reactions of users within the experience, graphics can be altered in real time to maximise understanding.
It is spoken in detail about the fact the machine learning alone is faster and more efficient than traditional techniques. Pairing VR with data visualisation is also an enabler for new business models, which combine the expertise of co-workers in different geographic locations. However, in light of upcoming legislation on data sharing and analysis, businesses will need to be careful with the machine learning platforms they use.
The article gives a detailed analysis of practical applications of such powerful data processing systems for businesses and the likely negative outcomes.
The following conclusions are drawn: understanding and sharing comprehensive data is great, but analysing the wrong data (including private or sensitive) could be damaging to a business or even the whole industry.
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