00-Intro.ipynb

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    "# Ray 2.x First Steps\n",
    "\n",
    "## What We'll Cover\n",
    "\n",
    "* Intro to Ray\n",
    "* Ray and the Data Science Workflow\n",
    "* Ray Architecture and Setup\n",
    "* Training and Tuning Models with RayAIR\n",
    "* Reinforcement Learning at Scale\n",
    "* Model Deployment with RayServe\n",
    "* Ray Core\n",
    "* Wrapup\n",
    "\n",
    "## Materials/Operations\n",
    "\n",
    "* All content is in these notebooks\n",
    "    * Shoutout to: Ray documentation; Anyscale developer relations, evangelism, and training\n",
    "* Play along if you have a local environment\n",
    "* Feel free to experiment\n",
    "* Ask questions\n",
    "* Plan for break once per hour\n",
    "\n",
    "### Instructor: Adam Breindel\n",
    "\n",
    "#### Contact\n",
    "* https://www.linkedin.com/in/adbreind\n",
    "* adbreind@gmail.com\n",
    "* `@adbreind` (Twitter)\n",
    "* `@adbreind@mastodon.xyz` (Mastodon)\n",
    "\n",
    "<img src=\"https://materials.s3.amazonaws.com/i/lpMDU9j.jpg\" width=200 style=\"margin-right:2em;margin-top:1em\">\n",
    "\n",
    "* 25+ years building systems for startups and large enterprises including data, AI/ML, mobile, web, embedded, DB...\n",
    "* 15+ years teaching tech, math, stats, complexity\n",
    "\n",
    "#### Interesting projects...\n",
    "* My first full-time job in tech involved streaming neural net fraud scoring (debit cards)\n",
    "* Realtime & offline analytics for banking\n",
    "* Music synchronization and licensing for networked jukeboxes\n",
    "* Airline process automation\n",
    "\n",
    "#### Industries\n",
    "* Finance / Insurance, Travel, Media / Entertainment, Government, Energy, Tech"
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