Скачать или смотреть Cloud Provider Comparisons: AWS vs Azure vs GCP - Artificial Intelligence and Machine Learning

In Cloud Provider Comparisons, we take a look at the same cloud services across the three major public cloud providers - Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). In this video, we focus on artificial intelligence (AI) and machine learning (ML). We compare the major ‘building block’ services (those you can use without having to know much about ML), explainability and bias services, and ML infrastructure and platforms. If you’re curious about how the AI and ML services of AWS, Azure and Google Cloud Platform match up, join ACG Senior Training Architect Scott Pletcher and watch on to find out more!

Timestamps:
0:00 Introduction
0:52 What is AI and ML (and what's the difference)?
2:41 What this episode will cover
3:33 Machine learning building block services
7:56 Machine learning platforms
10:20 Machine learning infrastructure
12:30 Machine learning explainability and bias

Here’s some more detail on the AI and ML services we’ll cover in this episode:

ML building blocks:
Speech to text: Amazon Transcribe, Azure Speech to Text, GCP Speech to Text
Text to speech: Amazon Polly, Azure Text to Speech, GCP Text to Speech
Chatbots: Amazon Lex, Azure Language Understanding, GCP DialogFlow
Language translation: Amazon Translate, Azure Translator, Google Cloud Translation
Text analytics: Amazon Comprehend, Azure Text Analytics, GCP Natural Language
Document analysis: Amazon Textract, Azure Form Recognizer, GCP Document AI
Image & video analysis: Amazon Rekognition, Azure Computer Vision and Video Indexer, GCP Vision AI and Video AI
Anomaly detection: Amazon Lookout family and Fraud Detector, Azure Anomaly Detector and Metrics Advisor, GCP Cloud Inference
Personalization: Amazon Personalize, Azure Personalizer, GCP Recommendations AI

ML platforms:
ML tools (Jupyter Notebook) and learning frameworks (Tensorflow, MXNet, Keras, PyTorch, Chainer, SciKit Learn)
Guided model development: Amazon SageMaker Autopilot, Azure Automated ML and Designer, GCP AutoML
Full ML workbench: Amazon SageMaker Studio, Azure Machine Learning Notebooks, GCP AI Platform
MLOps: Amazon Sagemaker MLOps, Azure MLOps, GCP Pipeline

ML explainability and bias: Amazon SageMaker Clarify, Azure Responsible ML, GCP AI Explanations

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Episode resources:
Scott's Introduction to Machine Learning course: https://acloudguru.com/course/introdu...
Machine Learning for Absolute Beginners course: https://acloudguru.com/course/machine...
Getting Started with Azure Machine Learning Studio course: https://acloudguru.com/course/getting...
Introduction to Jupyter Notebooks course: https://acloudguru.com/course/introdu...
AWS Certified Machine Learning Speciality course: https://acloudguru.com/course/aws-cer...
Google Cloud AI Services Deep Dive course: https://acloudguru.com/course/google-...

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