Examples of using Machine learning algorithms can in English and their translations into Chinese
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Machine learning algorithms can respond to a player's actions dynamically.
Predictive or perspective maintenance means that a system powered by the machine learning algorithms can predict a need for maintenance on a plant floor.
Many machine learning algorithms cannot operate on label data directly.
The first was a talk by Kate Crawford(of Microsoft Research),who described how machine learning algorithms can go wrong, reinforcing and amplifying existing prejudices.
Machine Learning algorithms can analyze the data from millions of smart meters.
In general, different machine learning algorithms can be used to determine the missing values.
Machine learning algorithms can figure out how to perform important tasks by generalizing from examples.
Our comprehensive selection of machine learning algorithms can help you quickly get value from your big data and are included in many SAS products.
Machine learning algorithms can analyze all known synthetic experiments, both successful and unsuccessful.
Studies have shown that big data and machine learning algorithms can bring growth to many industries, such as advertising, healthcare, infrastructure, logistics, transportation, and more.
Machine learning algorithms can accelerate data processing and provide a solution for managing a vast amount of data.
Several machine learning algorithms can be easily written as MapReduce jobs.
Machine learning algorithms can find previously undetected problems, reduce time to market, and increase production.
Natural Language with Machine learning algorithms can stand for agents of customer service and in fast way route customers to the information they need.
Its machine learning algorithms can examine data from any data source and perform queries and visualizations on that data.
Today, machine learning algorithms can detect over 100 types of cancerous tumors more reliably than a trained human eye.
Machine learning algorithms can compare a medical image with a million others to identify nuances that humans may miss.
Lastly, machine learning algorithms can detect how a building is being used- for commercial activity rather than just housing.
Machine learning algorithms can also be used within the manufacturing aspect of agriculture, where consumers purchase their products.
Machine learning algorithms can analyze billions of historical data points to identify commonalities in the behaviors and actions of customers.
Machine learning algorithms can compare maintenance events and machine data for each piece of equipment to its history of malfunctions.
Over time, machine learning algorithms can learn patterns that indicate when trucks will require maintenance and catch failures in advance.
Machine learning algorithms can analyze massive volumes of sensor data from multiple wells to determine the best combination of these controllable parameters.
Machine learning algorithms can then determine when rooms are occupied by particular people, with HVAC settings being automatically adjusted to suit their preferences.
For instance, machine learning algorithms can analyze the influence of some specific financial trends and market developments by learning from customers financial historical data.
Which machine learning algorithm can save them?
A machine learning algorithm can look at satellite imagery and then draw the shape of the building on the Google map.
Natural language and machine learning algorithms could be the new customer service agents, more quickly routing customers to the specific information they require.
On an economic level, machine learning algorithms could help stimulate innovation and productivity growth.
This means that the machine learning algorithm can make predictions, see what actually happens, compare against its predictions, then adjust to become more accurate.