Examples of using Machine-learning in English and their translations into Indonesian
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Understanding of machine-learning and operations research.
Cognitive computing systemscan be trained with artificial intelligence and machine-learning algorithms.
Google launched an open-source machine-learning software library called TensorFlow.
Its machine-learning capabilities allow it to continue improving its answers, and the system can also help keep lawyers up-to-date about new rulings.
So for some of these algorithms that we have right now, machine-learning tools will replace them.
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Cortex allows users to write machine-learning programs on the blockchain and submit interactions that are dependent upon other contracts.
In the future, music selection algorithms willincorporate more Big Data variables and machine-learning as Artificial Neural Networks technology improves[6].
Automation, orchestration and machine-learning technologies showed the lowest rates of adoption, with only 28 percent of organizations using them.
Look for huge spammer innovation once more SEOs finally start realizing that improving CTR anddwell time also can help improve rankings in today's machine-learning world.
The researchers were able to simplify the machine-learning algorithms in neural networks to a single point, called a dot product.
As with most machine-learning systems, Shift Technology's system is designed to improve over time by tapping user feedback and additional data.
In Mountain View, Heckerman and his team are using machine-learning super-computers to scour the details of all the data.
To help data scientists and machine-learning researchers train their algorithms, Homeland Security is supplying more than 1,000 three-dimensional body scans.
The simulator produces quakes randomly andgenerates data for an open-source machine-learning algorithm- and the system has achieved some surprising results.
Now it uses RankBrain, a machine-learning artificial intelligence system designed to give consumers the answers they seek instead of simple word matches.
Recently Google announced that AutoML has beaten the humanAI engineers at their own game by building machine-learning software that's more efficient and powerful than the best human-designed systems.
The creators of the open-source machine-learning software and software development, take into account the whole chain of benefits and consequences of using their code in the future.
Gravity4 is the world's first high-frequency machine-learning marketing OS, built to enhance the advertising and SaaS industries.
The scientists then developed a novel machine-learning method that was used to train a computer to predict the time of day based on patterns in these gene expression measurements.
DaVinci 11 is the world's first high-frequency machine-learning marketing OS, built to enhance the advertising and SaaS industries.
TensorFlow Lite is a lightweight machine-learning framework that can do inference on a variety of mobile and small devices(from mobile phones, Raspberry Pis and microcontrollers).
These measurements were then fed into a machine-learning algorithm that classified the subject's emotion as excited, happy, angry or sad.
The algorithms were trained using machine-learning techniques to recognize actions such as texting, talking on a cellphone, or reaching into the backseat to retrieve something.
Combined with the 12.2MP camera, we will see machine-learning features that pick the best photo to avoid blurriness and closed eyes called Top Shot.
The algorithms were trained using machine-learning techniques to recognize actions such as texting, talking on the phone or reaching for something in the backseat or on the floor.
Skymind is an enterprise AI company offering an open-core machine-learning platform, commercial support and training for implementing state-of-the-art AI solutions.
The analysis was carried out by a machine-learning algorithm that could differentiate between components of both kinds of ancestral DNA, which are more similar to one another than to modern humans.
For instance, to create a fraud-detection program, you train a machine-learning algorithm with a list of bank transactions and their eventual outcome(legitimate or fraudulent).
Algorithms at the heart of the technology were trained using machine-learning techniques to recognize actions such as texting, talking on a cellphone or reaching into the backseat to retrieve something.