正确答案:The U.S.’s high level of oil production and less import. 解析:由题干关键词“the second paragraph”定位到第二段。该段的数据分为两个方面,一方面表明了美国石油产量的上升,另一方面表明了美国石油进口量的下降,因此The U.S.’s high level of oil production and less import为答案。 知识模...
What do we learn from a recent report? The statistics in manufacturing are staggering. Despite the widespread fears about trade, a recent report showed that just 13 percent of jobs lost in manufacturing are due to trade—the rest of the losses have been due to advances in technology....
This type of supervised learning requires a human expert to provide the correct answers by labeling data so the algorithm can learn and make accurate predictions in the future. Note that the goal here isn’t to train using pristine data. You want to mimic what the system will see in the ...
This type of supervised learning requires a human expert to provide the correct answers by labeling data so the algorithm can learn and make accurate predictions in the future. Note that the goal here isn’t to train using pristine data. You want to mimic what the system will see in the ...
Maybe someone from HR mentioned that term, or you saw that in a job ad? These skills are all the rage now. But what are they, exactly? Who needs them, and why is that so? Learn the importance of strong interpersonal skills now. This article will show you: What interpersonal skills ...
What do you want your students to learn? What do they already know? Will the assessment be formative or summative? High stakes or low stakes (i.e., how much will they count toward the final grade)? How many students do you have? Do you have grading support?
Learn more about making the analytics life cycle work for you The first thing you need to get started using predictive analytics is a problem to solve. What do you want to know about the future based on the past? What do you want to understand and predict? You’ll also want to consider...
Note:If you’re creating a personality assessment, you must map answer options with different personality-based outcomes instead of assigning scores. Step 5:Configure settings for cheating prevention, customization, notifications, and more. Want to learn more about how to create computer-based assessme...
The history of statistical errors is repeating itself in some AI developments, despite the remarkable progress made by the discipline. Dídac Láinez-Moreno, Altea Lorenzo-Arribas and Pere Puig describe how previous lessons learnt might help us build fairer, more robust modelsLáinez-Moreno Dídac...
Machine learning (ML) is the subset of artificial intelligence that focuses on building systems that learn—and improve—as they consume more data. Artificial intelligence is a broader term that refers to systems or machines that mimic human intelligence. Machine learning and AI are often discussed...