Examples of using Machine learning techniques in English and their translations into Chinese
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Supervised and unsupervised machine learning techniques.
Modern machine learning techniques now allow us to do the same for tasks where describing the precise rules is much harder.
Students and professionals who want to apply machine learning techniques to their datasets.
In fact, until recently machine learning techniques were commonly not applied directly to raw data inputs such as images or audio.
Cognitive is the ability to offer aproactive experience for the user within a business context, through Machine Learning techniques.
But new lean and augmented machine learning techniques can enable AI to produce its own data based on a few samples.
Collaborators at the Nature Conservancy andDC Water will help evaluate the effectiveness of the machine learning techniques developed in this project.
That will throw off a lot of the Machine Learning techniques we try and use to model the data and make predictions!
In applications like these(and many others),researchers often utilize a set of supervised machine learning techniques called learning-to-rank.
You will also cover the most important machine learning techniques, which are at the core of any attempt to analyse and reason about data.
And for Google, the value means telling potential and existing customers that their own data analysis,artificial intelligence and machine learning techniques are the best.
Machine learning techniques that have driven recent advances may have already produced their most easily reached achievements and now seem to be experiencing diminishing returns.
In which combining deep learning, with adversarial machine learning techniques[17][18] may lay the answer we are looking for.
These machine learning techniques are called“unsupervised,” and they highlight as a discovery tool or when new results fall outside what was expected.
This process uses data along with analysis, statistics, and machine learning techniques to create a predictive model for forecasting future events.
Scalable machine learning techniques combined with cloud technology are analysing enormous amount of data and powering real-time threat detection and analysis”.
In addition, the Office Graph uses advanced analytics and machine learning techniques to create inferred rich relationships- what we call insights.
As machine learning techniques have surpassed the traditional algorithmic approaches for classification,machine intelligence has quickly taken over and been deployed by these firms.
Students andprofessionals with a technical background who want to learn Bayesian machine learning techniques to apply to their data science work.
Pinterest is using machine learning techniques to find and hide content that displays, rationalizes, or encourages self-injury.
The project's mainfocus will be to advance the state-of-art in machine learning techniques for analyzing spatial and temporal agricultural cropping data and urban landscapes.
Specifically, Pinterest says it's using machine learning techniques to identify and hide content that displays, rationalizes, or encourages self-injury.
In this instructor-led, live training,participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry.
Then, using computer vision and machine learning techniques, the researchers taught computers to automatically recognise and detect comma-shaped clouds in satellite images.
In this instructor-led, live training,participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry.
One is this big jump in deep learning and machine learning techniques that is helping computer vision be that much better at recognizing things.
This classroom based training session will explore machine learning techniques, with computer based examples and case study solving exercises using a relevant programme languauge.