解析:选项A可定位到倒数第二段第一句,而该句“As machine learning leaves the lab and goes into practice, it will threaten white-collar, knowledge-worker jobs just as machines, automation and assembly lines destroyed factory jobs in the 19th and 20th centuries”前半部分表示当machine learning离开实验...
What about learning bit? Learning is a natural process for humans, specially for the younger ones. We learn new things naturally without explicitly thinking with instruction and some training, such as practised in University of Bologna a millennia ago, see Figure 1. Usually, it takes time for ...
根据第一段中What is machine learning,and how does it work?In 1950 mathematician Alan Turing argued that it's a waste of time to ask whether machines can think.Instead,he designed a game(什么是机器学习,它是如何工作的?950年,数学家艾伦•图灵认为,询问机器是否会思考是浪费时间。相反,他设计了...
Decades ago, machine learning was not as good as human learning, so many machine learning techniques were borrowed from how we humans learn – be it on the level of concepts or on the level of biological neurons, cells responsible for mental activities such as learning. Lately, however, ...
Meta-learning refers to learning about learning. Meta-learning in machine learning most commonly refers to machine learning algorithms that learn from the output of other machine learning algorithms. In our machine learning project where we are trying to figure out (learn) what algorithm performs bes...
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It’s used in finance, healthcare, marketing, retail, and many other industries to extract valuable insights from data and automate processes. What Is Machine Learning? Machine learning (ML) is the subset of artificial intelligence that focuses on building systems that learn—and improve—as they...
This ability to learn from data and improve over time makes machine learning incredibly powerful and versatile. It's the driving force behind many of the technological advancements we see today, from voice assistants and recommendation systems to self-driving cars and predictive analytics. Machine lea...
Why Should We Learn Machine Learning? Machine learning is a powerful tool that can be used to solve a wide range of problems. It allows computers to learn from data, without being explicitly programmed. This makes it possible to build systems that can automatically improve their performance over...
Machine learning has its origins in statistics and mathematical modeling of data. The fundamental idea of machine learning is to use data from past observations to predict unknown outcomes or values. For example:The proprietor of an ice cream store might use an app that combines historical sales ...