Building Your Environment

Youtube search... ...Google search

• Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson | Bradford Cross
• AI Platforms: The Next Step in Artificial Intelligence | Keith D. Foote
• Artificial Intelligence Platform, Machine Learning Modelling and Cloud | IPI
• Pipelines
• Containers; Docker, Kubernetes & Microservices
• Kubeflow Pipelines
• Service Capabilities
• Automated Machine Learning (AML) - AutoML
• AI Marketplace & Toolkit/Model Interoperability
• Platforms: Machine Learning as a Service (MLaaS)
• Pocketcluster - Weekly Machine Learning Opensource Roundup
• Environments:
  • Local Machine, Anaconda, TensorFlow, Graphics card GPU
  • Laptops for Machine Learning
  • Google AIY Projects Program

The capability to transform data into actionable insight is the key to a competitive advantage for any organization. ... While many ML algorithms have been around for years, the ability to apply complex mathematical calculations to data, and process them more quickly than ever before, is a recent development.Preparing and Architecting for Machine Learning | Carlton E. Sapp

• Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms | Gregory Piatetsky - KDnuggets

My Own AI Server

• Deep Learning with Tensorflow and INTEL - A Hardware and Software Guide for Beginners | digit
• Why building your own Deep Learning Computer is 10x cheaper than AWS | Jeff Chen
• Build and Setup Your Own Deep Learning Server From Scratch | Kitty Shum
• Machine intelligence: Build your own vs. as-a-service

Facebook

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• Introducing Big Basin: Our next-generation AI hardware | Kevin Lee - Facebook
• Facebook ML Infrastructure