Understanding Big Data, Computer Vision, and NLP

What are the two main features of big data?

• Volume and speed

• Size and complexity

• Accuracy and precision

• Structure and randomness

Why can't traditional computer systems handle big data effectively?

• They are too expensive to operate

• They are not designed to process large volumes at high speed

• They require too much manual intervention

• They lack sufficient storage capacity

What is computer vision primarily concerned with?

• Improving internet connectivity

• Analyzing textual data

• Enhancing audio quality

• Processing graphical data to recognize patterns

How does AI in computer vision learn to recognize patterns?

• By using pre-defined templates

• By manually inputting data

• Through repeated exposure to data and algorithm training

• By storing every image in its memory

What is the primary goal of natural language processing (NLP)?

• To translate languages

• To enable computers to understand human languages

• To improve internet search results

• To enhance video quality

Which of the following is an application of NLP?

• Image recognition

• Speech recognition

• Data encryption

• Network security

What are the two main aspects of NLP?

• Pattern and recognition

• Volume and structure

• Speed and accuracy

• Syntax and semantics

What is a major challenge in NLP?

• Enhancing video resolution

• Understanding the context and emotions in language

• Storing large volumes of data

• Improving internet speed

How does NLP convert spoken language into a form understood by computers?

• By converting it into images

• By storing it as audio files

• By translating it into binary code

• By using language rules and pronunciation variations

What role does NLP play in human-machine interactions?

• It speeds up internet connections

• It enhances video quality

• It enables intelligent interaction through language understanding

• It improves data storage