PTE Summarize Written Text Task Sample 266

Read the passage below and summarize it using one sentence. Type your response in the box at the bottom of the screen. You have 10 minutes to finish this task. Your response will be judged on the quality of your writing and on how well your response presents the key points in the passage.

Machine Learning

The concept of machine learning, a subset of artificial intelligence (AI), has transformed industries and technologies in recent years. Machine learning involves the development of algorithms that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed for specific tasks.

One of the key components of machine learning is neural networks, which are computational models inspired by the structure and function of the human brain. Deep learning, a subfield of machine learning, employs deep neural networks with multiple layers to process and extract complex patterns from vast datasets. This has led to significant breakthroughs in areas like image and speech recognition.

Machine learning applications span diverse domains. In healthcare, it is used for medical diagnosis, drug discovery, and predicting disease outbreaks. In finance, machine learning models analyze market data for trading decisions and detect fraudulent transactions. In autonomous vehicles, machine learning algorithms process sensor data to enable safe navigation and decision-making.

However, machine learning is not without challenges. Concerns about data privacy, algorithmic bias, and the interpretability of complex models have arisen. Ethical considerations regarding the use of AI in decision-making, such as hiring and criminal justice, are also paramount.

Machine learning’s continued evolution holds the promise of transforming industries and enhancing our understanding of complex phenomena. As it advances, addressing ethical and regulatory challenges will be crucial to harnessing its full potential responsibly.


Machine learning, a subset of artificial intelligence, has revolutionized industries by enabling computers to learn from data through algorithms, with applications ranging from healthcare and finance to autonomous vehicles, though ethical concerns and regulatory challenges underscore the need for responsible development to unlock its full potential.