Examples of using Machine learning models in English and their translations into Indonesian
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Use the Synapse AImarketplace to immediately access data pools and machine learning models for your project, business or organization.
When it comes to developing machine learning models in order to make predictions, there is a heavy focus on algorithms, code, and results.
Cloud Vision API enables developers tounderstand the content of an image by encapsulating powerful machine learning models in an easy way.
The sensor then talks to a smartwatch that runs machine learning models to detect tremors and other symptoms of Parkinson's disease.
When you look at a complex website like Facebook, Amazon, or Netflix,it is very likely that every part of the site contains multiple machine learning models.
In this field, R assists you in building and developing the machine learning models, while dealing with the datasets and their rapid prototyping.
We will start with audio and video support, tools for working with formats like MIDI,and platforms that help artists connect to machine learning models.
Our fraud detection system engages a mix of heuristics and machine learning models which are tailored to the unique characteristics of your business.
The researchers will begin with audio and video support tools for working with formats such as MIDI,and platforms that help artists connect to machine learning models.
With Gluon, developers can build machine learning models using a simple Python API and a range of pre-built, optimized neural network components.
The Google Cloud Vision API enables developers tounderstand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.
These machine translations are generated by machine learning models trained on hundreds of thousands or millions of translations from one language to the other.
Apple has been urging developers to utilize it's relatively new CoreMLframework that can be used to train machine learning models for developing apps for iOS.
Starting on August 8, 2018,participants were challenged to develop machine learning models in three different categories, namely Credit Scoring, Fraud Detection, and ATM Cash Optimization.
Google is also introducing a certification program to teach people how to"design,train and deploy accurate machine learning models.".
Every day, thousands of brands use CleverTap's machine learning models to create differentiated customer engagement strategies that help marketers drive omnichannel growth.
As Microsoft's Chris Bishop says,software engineering is moving from handcrafted code based on logic to machine learning models based on probability and uncertainty.
Everyday, thousands of brands leverage CleverTap's machine learning models to orchestrate differentiated customer engagement strategies that help marketers drive omni-channel growth.
You can get started on AWS with a fully-managed TensorFlow experience with Amazon SageMaker, a platform to build, train,and deploy machine learning models at scale.
The tool collects data from 400 different platforms andthen filters it through machine learning models and deleted data related to irrelevant aspects such as drugs and weapons.
Also, the machine learning models in these projects can be solicited with open calls, whereby researchers compete to create machine learning models with the greatest predictive performance.
Professional Data Engineer: This certification means achievement in competency to design and build data processing systems andcreate machine learning models on Google Cloud Platform.
Includes exclusive access to WaveNet technologyDeepMind has done groundbreaking research in machine learning models to generate speech that mimics human voices and sounds more natural, reducing the gap with human performance by 70%.
As more companies take advantage of techniques such as machine learning models, lenders are gaining the confidence to dip their toes into near-prime and subprime waters, according to Brian Landau, automotive business leader at TransUnion.
Amazon SageMaker Amazon SageMaker is a service that enables a developer to build andtrain machine learning models for predictive or analytical applications in the Amazon Web Services(AWS) public cloud.
Originally centered around gaming, thekinds of architectures Nvidia built also work well with machine learning models like computer vision, turning it into a massive provider of hardware for everything from machine learning to gaming and mining cryptocurrency.