The opening episode of the course. We build the mental map that everything else hangs on: AI is the umbrella goal, machine learning is the dominant method, deep learning is a branch of ML, and statistics and data science are overlapping siblings rather than nested layers. **Education segment covers:** - One-sentence map of AI, ML, deep learning, statistics, and data science, plus the operator-versus-user thesis of the whole arc. - Definitions and history: the [1956 Dartmouth workshop](https://en.wikipedia.org/wiki/Dartmouth_workshop), Arthur Samuel (1959), Tom Mitchell's 1997 textbook definition, the symbolic-to-statistical shift, AlexNet (2012), the [Transformer (2017)](https://arxiv.org/abs/1706.03762). - Statistics vs ML through Leo Breiman's ["Two Cultures" (2001)](https://www.jstor.org/stable/2676681): inference vs prediction. - Worked examples: spam filtering ([Paul Graham, "A Plan for Spam"](http://www.paulgraham.com/spam.html)) and house-price prediction as both statistics and ML. - The four paradigms: supervised, unsupervised, reinforcement, self-supervised. - The ML lifecycle, the [data-cleaning time myth](https://blog.ldodds.com/2020/01/31/do-data-scientists-spend-80-of-their-time-cleaning-data-turns-out-no/), roles, and the portfolio-over-credential thesis. - Market context: [WEF Future of Jobs 2025](https://www.weforum.org/stories/2025/01/future-of-jobs-report-2025-the-fastest-growing-and-declining-jobs/), [ML salary ranges](https://www.coursera.org/articles/machine-learning-salary). **News brief:** - [Microsoft launches MAI-Thinking-1 and MAI-Code-1-Flash at Build 2026](https://www.cnbc.com/2026/06/02/microsoft-unveils-new-ai-models-lessen-reliance-on-openai-lower-costs.html) ([Simon Willison](https://simonwillison.net/2026/Jun/2/microsofts-new-models/)). - [Anthropic confidentially files for IPO](https://www.anthropic.com/news/confidential-draft-s1-sec) at a ~$965B valuation ([Fortune](https://fortune.com/2026/06/01/anthropic-confidentially-files-ipo-965-billion-valuation/)). - [AI lab CEOs urge Congress to mandate synthetic DNA screening](https://fortune.com/2026/06/05/openai-anthropic-microsoft-ceos-congress-bioweapon-safeguards/). - [MiniMax M3 open-weight model with a 1M-token context](https://the-decoder.com/minimax-m3-open-weight-model-with-a-million-token-context-challenges-proprietary-leaders/). - [vLLM releases](https://github.com/vllm-project/vllm/releases) add reasoning-aware speculative decoding and more.