But today, the data sets are large enough, the compute is great enough and the algorithm's now good enough that we can create incredible breakthroughs.

但今天，我们拥有了足够大数据集，足够优秀计算，和足够杰出算法，从而能够创造出不可突破。

And they have a data set where they studied 16 patients who have undergone surgical treatment for epilepsy.

他们有一个数据组，对做过癫痫手术16位病人进行研究。

I've gone through a lot of journals in the closed reserve of the library, but actually there are websites where you can call up lists of approaches or data sets really quickly.

我查阅了图书馆封闭储藏区里许多期刊，但实际上，有一些网站可让你快速获取各种研究方法或数据集列表。

So the time between the data set and what I deliver the model could be cut down tremendously into hours instead of days.

在得到数据集之后与导出模型之间时间可极大减少为几小时，而非数天。

We can do all kinds of conclusions and learnings from that data set.

我们能够从这些数据中得到各种结论。

Now I'm considering the possibility that they are a simple data set.

现在我觉得很有可能这就单纯是一组数据。

So it's a very rich data set to work with.

这是一个要处理非常丰富数据集。

Modern value investing is practised by all sorts, including a number of quantitative investors such as Cliff Asness at AQR Capital Management, who crunch vast data sets to compare firms against wide and varied measures of their worth.

各类投资者都选择践行现代价值投资，包括一些量化投资者，比如AQR资管理公司克里夫·阿斯尼斯，这类投资者会处理大量数据集，好根据诸多价值衡量标准比较各个公司。

On this one, you'll be learning from real data sets from sources like Spotify, and you'll be gaining training to see trends and make better-informed decisions based on data.

在这方面，你将从 Spotify 等来源真实数据集中学习，并获得，便看到趋势并根据数据做出更明智决定。

Nobody has yet built an artificial network with 86 billion neurons, but as computing technology improves, it may be possible to keep track of such massive data sets.

尚没有人构建具有860亿个神经元人工网络，但是随着计算技术改进，跟踪如此大量数据集是有可能。

AI models learned how weather moves, not through applying trillions of physics equations to the Earth's atmosphere, but by being trained on Era5's enormous historical data set.

人工智能模型不是通过将数万亿个物理方程应用于地球大气层来学习天气如何移动，而是通过对Era5庞大历史数据集进行练。

Except in a handful of the cities in Mr Abrams's data set, homicide rates did not change much relative to prior years after government shutdown orders were put in place.

几个阿勃拉姆斯数据集中城市则是例外，在当地政府下达封锁命令后，谋杀率和前几年相比并没有太大变化。

And we'd be delighted to collaborate with anybody who has data and wishes to join with us or wishes to support the preservation of the data set in any way.

任何掌握数据并希望加入我们或希望任何方式支持数据集保护人士，我们很乐意与之合作。”

And I think it's just good for the development of AI, to be more careful about the record-keeping involved, knowing what data sets are being used, where they came from, who is checking them for accuracy and quality.

我认为这有利于人工智能发展，更谨慎地保存相关记录，了解正在使用数据集，它们来自哪里，谁正在检查它们准确性和质量。

He does note two limitations of the gender data set: the team mostly used name–gender cultural associations to categorize faculty members as men or women, which is not necessarily reliable; and there was no non-binary gender category.

研究团队大多使用姓名——性别文化关联来将教职员工划分为男性或女性，这并不一定可靠；没有非二元性别类别。

We were thrilled to have put together ImageNet, and we wanted the whole research world to benefit from it, so in the TED fashion, we opened up the entire data set to the worldwide research community for free.

ImageNet 成果让我们非常激动，我们希望它有助于全世界研究，就如同 TED 贡献，我们免费提供整个数据库给全世界研究单位。

Witht his parter we can specify the columns we want to drop, so in this case we set columns to an array with one string, genre now this method doesn't actually modify the original data set.

有了他伙伴我们可指定我们想要删除列，所在这种情况下我们将列设置为一个带有一个字符串数组，现在这个方法实际上并没有修改原始数据集。

ChatGPT was trained on a large data set of text from the internet, including books, articles, and websites, which was preprocessed and used to train the model's language prediction abilities.

ChatGPT 利用来自互联网大量文数据集上进行练，包括书籍、文章和网站，这些数据集被预处理并用于练模型语言预测能力。

Revaz added: " A very important part of this project is that it's a first step toward treating much larger data sets which are coming" .

" 这个项目非常重要一部分就是它是朝着处理即将到来更大数据集合迈出第一步。"

In 2017, using a data set of almost 100,000 NIH grant applications, Danielle Li, then of Harvard University, found that reviewers seem to favour ideas similar to their own expertise.

2017年，当时在哈佛大学丹妮尔·李使用了包含近10万份NIH拨款申请数据集，发现评审人似乎偏爱与自己专业知识相似想法。