Examples of using Machine learning tools in English and their translations into Vietnamese
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
Investments in machine learning tools will increase.
Google Prediction API- Cloud-based machine learning tools.
Despite fewer machine learning tools compared to Python and R, Scala is highly maintainable.
Citi also built a recommender engine that uses machine learning tools to advise clients.
With the help of Machine Learning Tools, softwares are evolving at a rate such that a Ph.D.
The two largest cloud platforms, Amazon Web Services(AWS) and Microsoft Azure,both provide Machine Learning tools.
This will help users see how Machine Learning tools can add business value.
Using machine learning tools, they programmed computers to teach themselves how to extract the relevant information from maps of the universe.
They are learning that the value of AI and machine learning tools are dependent upon the data they are fed.
It is a ripe time to invest in technology for businesses looking tomake use of their unused data with the help of machine learning tools.
High-frequency trading firms rely on machine learning tools to rapidly read and react to financial markets.
But, because the demand for more data and more algorithms is rising,you can expect more machine learning tools to become available.
Such systems use machine learning tools to scan faces in an attempt to recognize particular individuals.
Fortunately, where humansstruggle to weigh up complex data sets, machine learning tools turn out to be pretty darn great at it.
We have built machine learning tools to help identify accounts that use these services and remove the inauthentic activity.
Increasingly, Microsoft is moving customers to consider automated machine learning tools, so that machines can do the AI training for them.
By combining machine learning tools with the Industrial Internet of Things, companies are taking a deeper look into their logistics, inventory, assets and supply chain management.
Instagram has been actively removing fake accounts since at least 2014,however the platform is now utilizing machine learning tools to identify even more inauthentic activity and remove it.
Responsibilities: Uses AI and machine learning tools to gather and evaluate internal and customer data and develop recommendations or automated systems.
Tip: Ensure you clearly state the purpose of the content, who it is written for,and what it should be used to achieve so that machine learning tools can easily uncover the relevance and meaning of your content.
This is the first time such machine learning tools have been used in this context," says Fluri,"and we found that the deep artificial neural network enables us to extract more information from the data than previous approaches.
You can use extensions to express mathematical formulas in graphs, build apps, develop APIs, craw up coordinates on maps,build machine learning tools for predictive analysis, and much more.
The real differentiator is not whether you use Lex,Azure AI or Google's machine learning tools, but the quality of your own data, speakers at OpenText's Enterprise World 2018 conference said yesterday.
Machine learning tools allow you to reduce the amount of time you spend tracking your data, as well as enable you to better decipher your data so that you can create actionable tasks that will lead you to success.
YouTube says that creators should set the designation themselves,but that it will also utilize its machine learning tools to identify such content, and that it will override a creator designation"if abuse or error is detected".
With the company's constellation now able to image the Earth's entire landmass once a day,Planet is shifting its attention to developing machine learning tools to analyze images and extract insights from them.
In November of 2018,Instagram announced that the social platform will have additional machine learning tools to help identify accounts utilizing third-party apps to purchase fake followers or likes?-? continuing to reinforce that brand's prioritize transparency during influencer campaigns.
Human reviewers will use transcript length summaries for the foreseeable future butwill increasingly be augmented by machine learning tools that will review much larger profiles- both submitted and scraped.
Health systems of the future will also need to be smarter-that means the deployment of robust data analytics platforms, machine learning tools and artificial intelligence algorithms that can translate reams of health data into actionable intelligence.