Machine Learning Basics

B2 · Upper-intermediate1 hr 6 minIT & TechnologyLesson 3 of 8 · Outline

Aims

Goal: pitch a machine-learning idea to a manager — concrete problem, the data it learns from, a hedged payoff and an honest price — in 90 seconds.

The lesson, stage by stage

  1. Warm up5 min

    Warm-up: Pitch a machine-learning idea

    2 warm-up questions

  1. Reading10 min

    Reading: What a manager is judging in an ML pitch

    Read a 242-word text about What a manager is judging in an ML pitch

  2. Vocabulary8 min

    Vocabulary: Machine Learning Vocabulary

    7 items

  3. Framework6 min

    Framework: The ML Pitch

    Problem – Pattern – Payoff – Price, 4 steps

  4. Reading10 min

    Reading: Three model pitches

    Read a 336-word text about Three model pitches

  5. Practice7 min

    Practice: ML Concepts

    Gap-fill exercise, 5 items

  6. Dialogue10 min

    Dialogue: Explaining ML to a Manager

    Role-play: Your manager asks you to explain how machine learning could help the business (6 lines)

  7. Discussion10 min

    Discussion: Pitch it for real

    3 discussion questions

Open the full lesson

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Target vocabulary

In a Tuton account these words become your student's vocabulary deck, so they come back in practice between lessons.

algorithmmodeltraining datapredictionsupervised learningunsupervised learningneural network

This plan comes from the AI & Data Topics course in the Tuton library. Browse all free lesson plans.