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Machine Learning and Artificial Intelligence

Powered by AWS

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Machine Learning used by Amazon

u Product Recommendations

u Robotics Path Optimization

u Alexa voice

u Computer vision technology by Prime Air

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Machine Learning Offered by AWS

u Frameworks and Infrastructure

u Machine Learning Platforms

u API-Driven services

u Models

u Optimized instances with GPUs and Machine Images

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Major Frameworks

u Apache MXNetu Product recommendations engines

u Caffe and Caffe 2u Computer vision projects

u Tensorflow

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Machine Learning Platforms

u Apache Spark on Amazon Elastic Map Reduceu Process large amounts of data

u Machine Learningu Real-Time Streamingu Interactive Analytics

u SparkMLu Machine learning library using Spark

u In-memory data

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API based tools

u Amazon Rekognitionu Facial and object recognition

u Amazon Pollyu Turn text into speech over voices / languages

u Amazon Lexu Intelligent conversational interfacesu Same technology used in Alexa

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AWS Pricing

u Standard instances: 0.05 – 6.45 per houru Computer optimized – 0.27 – 4.83 per hour

u Accelerated Computing – 1.26 – 34.272 per hour

u HardwareInstance Type vCPU GPU Mem GPU Mem Network Performance

Ml.t2.medium 2 - 4 - Low to moderateMl.r5.large 2 - 16 - Up to 10 Gbps

Ml.g4dn.16xlarge 64 1xT4 256 16 50 Gbps

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Google Cloud Offerings

u Cloud translation API: $76 per hour

u Cloud speech to text: $0.04 per minute

u Cloud Natural Language API: $5.00 per 1k classification

u Cloud Vision API

u Computer Engine API

u Dataflow API

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Demonstrations

u GCP Image Detectionuhttps://www.qwiklabs.com/focuses/1823?parent=catalog

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Creating an Object Detection Application Using TensorFlow

u Create a virtual machine (VM) using Google Compute Engine.

u Install the Object Detection API library.

u Install and launch an object detection web application.

u Test the web application with uploaded images.

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Demonstrations

u GCP Online Predictionu https://www.qwiklabs.com/focuses/1789?parent=catalog

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Scikit-learn Model Serving with Online Prediction Using AI Platform

u Create and save a m odel to a file

u Upload the saved m odel to Google C loud Storage

u Create a m odel resource in AI Platform

u Create a m odel version (linking your scikit-learn m odel)

u M ake an online prediction

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