"deploy machine learning"'i Endonezya dili diline çevirin

EN Amazon SageMaker is a fully-managed machine learning platform that enables you to quickly and easily build, train, and deploy machine learning models

• fully-managed machine learning
• easily build
• train
• deploy machine learning

EN Also, G4dn instances are optimized to be cost-effective for machine learning inference, which can represent up to 90% of overall operational costs for machine learning initiatives.

• instances are optimized
• cost-effective for machine
• inference
• overall operational costs
• machine learning

EN This tech talk will review the different steps required to build, train, and deploy a machine learning model for computer vision

• different steps required
• build
• train
• deploy a machine
• model for computer

EN Amazon ElastiCache for Redis gives you a fast in-memory data store to build and deploy machine learning models quickly

• in-memory data store
• build
• deploy machine learning
• quickly

EN Amazon Lookout for Equipment's automated machine learning workflow makes it easy to build and deploy models across a variety of assets types with no data science knowledge required

• automated machine learning
• makes it easy
• build
• deploy models across
• variety of assets
• science knowledge required

EN Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly

• fully managed service
• provides every developer
• build
• train
• deploy machine learning
• ML
• models quickly

EN Amazon ElastiCache for Redis gives you a fast in-memory data store to build and deploy machine learning models quickly

• in-memory data store
• build
• deploy machine learning
• quickly

EN Amazon Lookout for Equipment's automated machine learning workflow makes it easy to build and deploy models across a variety of assets types with no data science knowledge required

• automated machine learning
• makes it easy
• build
• deploy models across
• variety of assets
• science knowledge required

EN close-up photo, grey, metal tool, machine, milling, milling machine, cnc, machining, cnc machine, tool Public Domain

• close-up photo
• grey
• metal tool
• machine
• milling
• milling machine
• cnc
• machining
• cnc machine
• tool Public Domain

EN Duolingo’s language learning scientists, machine learning engineers, and AI experts use data from over 300 million learners to constantly increase effectiveness of the platform.

• language learning scientists
• machine learning engineers

EN Furthermore, Amazon EC2 P3 instances can be integrated with AWS Deep Learning Amazon Machine Images (AMIs) that are pre-installed with popular deep learning frameworks

• Furthermore
• integrated with AWS
• Learning Amazon Machine
• AMIs
• pre-installed with popular
• learning frameworks

EN Amazon EC2 P3 instances enable developers to train deep learning models much faster so that they can achieve their machine learning goals quickly.

• Amazon instances enable
• train deep learning
• achieve their machine
• goals

EN “In CBL the students become learning ?enthusiasts.? They rediscover the magic of learning, that learning can be fun and deep importance in their lives.”

• CBL the students
• learning
• rediscover the magic

EN Use pre-packaged Docker images to deploy deep learning environments in minutes

• pre-packaged Docker images
• deploy deep learning
• minutes

EN In this learning path, you'll deploy a simple web application that enables users to request unicorn rides from the Wild Rydes fleet.

• learning path
• users to request
• Rydes

EN gray, blue, metal machine, machine, tubing, pipes, factory, industry, technology, pipe - Tube Public Domain

• gray
• blue
• metal machine
• machine
• tubing
• pipes
• factory
• industry
• technology
• pipe
• Tube Public Domain

EN gray, industrial, machine, steel scraps, milling, machining, industry, milling machine, tool, cnc Public Domain

• gray
• industrial
• machine
• steel scraps
• milling
• machining
• industry
• milling machine
• tool
• cnc Public Domain

EN Cloudflare’s network learns from the traffic of millions of Internet properties, enabling machine-learning (ML) based intelligent routing around network congestion in real-time.

• traffic of millions
• Internet properties
• enabling machine-learning
• ML
• based intelligent routing

EN For example, big data is great for machine learning

• example
• machine learning

EN Increasingly Indosat Ooredoo is seeking to leverage technologies such as AI, data analytics and machine learning to future-proof its networks and serve customers through their journey

• Increasingly Indosat Ooredoo
• seeking to leverage
• AI
• analytics
• networks
• journey

EN Larger memory functions help multithreaded applications run faster, making them ideal for data and computationally intensive applications like machine learning, batch and ETL jobs, financial modeling, genomics, HPC, and media processing.

• Larger memory functions
• multithreaded applications run
• making them ideal
• computationally intensive applications
• machine learning
• batch
• ETL jobs
• financial modeling
• genomics
• HPC
• media

EN Using EFS for Lambda is ideal for building machine learning applications or loading large reference files or models, processing or backing up large amounts of data, hosting web content, or developing internal build systems

• EFS for Lambda
• ideal for building
• learning applications
• loading large reference
• models
• processing
• backing up large
• hosting web content
• developing internal build

EN The industry’s most cost-effective GPU instances for machine learning inference and graphics-intensive applications

• cost-effective GPU instances
• machine learning inference
• graphics-intensive applications

EN G4dn instances feature NVIDIA T4 GPUs and custom Intel Cascade Lake CPUs, and are optimized for machine learning inference and small scale training

• instances feature NVIDIA
• custom Intel Cascade
• CPUs
• optimized for machine
• inference
• small scale training

EN G4dn instances, powered by NVIDIA T4 GPUs, are the lowest cost GPU-based instances in the cloud for machine learning inference and small scale training

• instances
• powered by NVIDIA
• lowest cost GPU-based
• cloud for machine
• inference
• small scale training

EN Increase performance and reduce machine learning inference costs

• Increase performance
• reduce machine learning
• costs

EN G4dn instances are also useful for small-scale/entry-level machine learning training jobs for those businesses or institutions that are less sensitive to time-to-train

• small-scale
• entry-level machine learning
• jobs for those
• sensitive to time-to-train

EN Accelerate machine learning and high performance computing applications with powerful GPUs

• Accelerate machine learning
• high performance computing
• powerful GPUs

EN Amazon EC2 P3 instances deliver high performance compute in the cloud with up to 8 NVIDIA® V100 Tensor Core GPUs and up to 100 Gbps of networking throughput for machine learning and HPC applications

• Amazon instances deliver
• Tensor Core GPUs
• Gbps of networking
• machine learning
• HPC applications

EN These instances deliver up to one petaflop of mixed-precision performance per instance to significantly accelerate machine learning and high performance computing applications

• petaflop of mixed-precision
• accelerate machine learning
• high performance computing

EN Amazon EC2 P3 instances have been proven to reduce machine learning training times from days to minutes, as well as increase the number of simulations completed for high performance computing by 3-4x.

• proven to reduce
• learning training times
• days to minutes
• increase the number

EN Reduce machine learning training time from days to minutes

• Reduce machine learning
• days to minutes

EN Faster model training can enable data scientists and machine learning engineers to iterate faster, train more models, and increase accuracy.

• Faster model training
• enable data scientists
• machine learning engineers
• iterate faster
• train more models
• increase

EN One of the most powerful GPU instances in the cloud combined with flexible pricing plans results in an exceptionally cost-effective solution for machine learning training

• powerful GPU instances
• pricing plans results
• exceptionally cost-effective solution
• machine learning training

EN In addition, Amazon EC2 P3 instances work seamlessly together with Amazon SageMaker to provide a powerful and intuitive complete machine learning platform

• addition
• together with Amazon
• powerful
• intuitive complete machine
• platform

EN This makes it faster and easier to get started with machine learning training and inference.

• makes it faster
• machine learning training

EN You can use multiple Amazon EC2 P3 instances with up to 100 Gbps of networking throughput to rapidly train machine learning models

• multiple Amazon instances
• Gbps of networking
• rapidly train machine
• models

EN With P3 instances and their availability via an On-Demand usage model, this level of performance is now accessible to all developers and machine learning engineers

• instances
• usage model
• level of performance
• machine learning engineers

EN Support for all major machine learning frameworks

• major machine learning

EN Amazon EC2 P3 instances support all major machine learning frameworks including TensorFlow, PyTorch, Apache MXNet, Caffe, Caffe2, Microsoft Cognitive Toolkit (CNTK), Chainer, Theano, Keras, Gluon, and Torch

• major machine learning
• TensorFlow
• PyTorch
• Apache MXNet
• Caffe
• Microsoft Cognitive Toolkit
• CNTK
• Chainer
• Theano
• Keras
• Gluon
• Torch

EN Airbnb is using machine learning to optimize search recommendations and improve dynamic pricing guidance for hosts, both of which translate to increased booking conversions

• learning to optimize
• recommendations
• improve dynamic pricing
• hosts
• increased booking conversions

EN With Amazon EC2 P3 instances, Airbnb can run training workloads faster, go through more iterations, build better machine learning models and reduce costs.

• Amazon instances
• Airbnb can run
• workloads faster
• build better machine
• models
• reduce

EN Hyperconnect specializes in applying new technologies based on machine learning to image and video processing and was the first company to develop webRTC for mobile platforms.

• learning to image
• video processing
• company to develop
• mobile

EN By using PyTorch as our machine learning framework, we were able to quickly develop models and leverage the libraries available in the open source community.”

• learning framework
• develop models
• leverage the libraries
• open source

EN The company relies heavily on data science and machine learning (ML) to connect customers with personalized financial products.

• company relies heavily
• science
• machine learning
• ML
• financial

EN Salesforce is using machine learning to power Einstein Vision, enabling developers to harness the power of image recognition for use cases such as visual search, brand detection, and product identification

• learning to power
• Vision
• power of image
• search
• brand detection
• product identification

EN The fastest way to train and run machine learning models

• run machine learning

EN Amazon SageMaker is a fully-managed service for building, training, and deploying machine learning models

• training
• deploying machine learning

EN New faster, more powerful and larger instance size optimized for distributed machine learning and high performance computing

• faster
• powerful
• larger instance size
• distributed machine learning
• high performance computing

EN Remove bottlenecks and reduce machine learning training time

• Remove bottlenecks
• reduce machine learning