Examples of using Machine-learning in English and their translations into Serbian
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Google's machine-learning software has learned to replicate itself.
What if they replaced their hiring process with a machine-learning algorithm?
Machine-learning says Homo naledi may not have buried its dead.
So artificial intelligence and machine-learning adoption is increasing quickly.
Now, scientists have attempted to hand off the task to an impartial judge: a machine-learning algorithm.
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Google uses a machine-learning artificial intelligence system called RankBrain to do this.
In 2015, Google announced the launch of their machine-learning technology called RankBrain.
In other words, Machine-learning algorithms use statistics to find patterns in massive amounts of data.
She is a computer-animated avatar chatbot with machine-learning artificial intelligence.
Google practices a machine-learning artificial intelligence system called“RankBrain” to help sort its search results.
Such models and techniques originate from statistics,econometrics, machine-learning or computer science.-.
We wanted to see if we could build machine-learning models that could understand the emotional impact of language.
Team Drives and Drive File Stream is for companies,while all users received machine-learning features.
Tech companies are busy commercializing machine-learning techniques that are powerful but fundamentally limited.
So, consider a hiring algorithm-- a system used to hire people,using machine-learning systems.
Google uses a machine-learning artificial intelligence system called“RankBrain” to help sort through its search results.
New techniques, often involving new arrays of sensory material and machine-learning algorithms to fill in the gaps, are starting to tackle this problem.
Brainternet can be further improved to classify recordings through a smartphone app that will provide data for a machine-learning algorithm.
They use satellite positioning and machine-learning technology to automatically identify if a boat is just sailing or fishing, which are the white spots here.
The scientist adds:"Brainternet can be further improved to classify recordings through a smart phone app that will provide data for a machine-learning algorithm.
Getting back to digital assistants for the home and/or office,AI and machine-learning tech is one of the most rapidly growing markets in consumer electronics.
The most common path to emulate the effectiveness of biological neural systems has been to create increasingly complex artificial intelligences with increasingly complicated machine-learning capabilities.
Due in March or April this year,the new version will include a new machine-learning framework for using machine-learning models in Windows applications.
So when people say that AI algorithms can be biased and unfair,the culprit is often not the algorithm itself but the biased data that was fed to it…[Norman] represents a case study on the dangers of artificial intelligence gone wrong when biased data is used in machine-learning algorithms.”.
Google announced at its I/O keynote that the machine-learning process for replying emails will be implemented in Gmail for Android and iOS.
Researchers recently have looked at the question of biopsies, cancerous biopsies, and they've asked the computer to identify by looking at the data and survival rates to determine whether cells are actually cancerous or not, and sure enough,when you throw the data at it, through a machine-learning algorithm, the machine was able to identify the 12 telltale signs that best predict that this biopsy of the breast cancer cells are indeed cancerous.
This means that there is a machine-learning algorithm which crunches a lot of data to ensure the handles and stabilization pad are positioned correctly for your height and reach.
Deep learning( also known as deep structured learning or hierarchical learning)is part of a broader family of machine-learning methods based on learning data representations, as opposed to task-specific algorithms.
Kernel SVMs are available in many machine-learning toolkits, including LIBSVM, MATLAB, SAS, SVMlight, kernlab, scikit-learn, Shogun, Weka, Shark, JKernelMachines, OpenCV and others.
Google also unveiled a new machine-learning chip, the Cloud Tensor Processing Unit, and linked TPUs in the cloud via high-speed data connections to form powerful AI supercomputers.