在 英语 中使用 Machine learning techniques 的示例及其翻译为 中文
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You will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
Riptide is now starting to work with Intel and other partners to apply machine learning techniques to the vast troves of data it has collected.
In addition, I would like to employ more advanced machine learning techniques to help predict customer flight ratings and, subsequently, sales.
Using novel machine learning techniques, a research team from Oak Ridge National Laboratory is teaching electronic devices how to speak for themselves.
Recently I read a blog post applying machine learning techniques to stock price prediction.
The algorithm also relied on machine learning techniques, a system that allows AI to learn by identifying patterns and using inference with minimal human intervention.
Current machine learning techniques generally rely on huge amounts of training data, vast computational resources, and a time-consuming trial and error methodology.
At the same time, banks leverage machine learning techniques for numerous purposes including customer experience, operational efficiency, budget optimization, privacy protection, etc.
Use AI and machine learning techniques to identify which types of banking transactions are likely to be fraudulent.
Students and professionals who want to apply machine learning techniques to real world problems.
However, it's obvious for most companies that integrating machine learning techniques to managing process is simply a necessity to extract real intelligence from data.
Through the use of AI and advanced machine learning techniques, Web 3.0 aims to provide more personalized and relevant information at a faster rate.
The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this.
The new research used machine learning techniques that had been developed by the same Dr. Dzirasa and his colleagues a few years ago.
Abstract- With the explosion of data, evolution of 5G networks towards 2020-2030 will be mostly based on machine learning techniques.
SAS Factory Miner contains automated model development, selection and deployment capabilities, and machine learning techniques.
The challenges we take on involve a lot of programming and complex machine learning techniques.
According to MIT Technology Review in recent years researchers have developed machine learning techniques that have the potential to outperform conventional approaches.
The teams will work closely with IBM researchers to develop new capabilities, such as visual analytics and machine learning techniques for crop insights.
Predictive analytics is focused on making predictions based on various statistical and machine learning techniques.