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Tutorial: Building a simple app with Machine Learning

Discussion focus: Collaborative problem solving and practical implementation.

Discussion focus: Collaborative problem solving and practical implementation.
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Atmosphere: Balanced
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Alice. Cheshire cat,' said the Queen.
Highlights
  • Tutorial: Building a simple app with Machine Learning Alice whispered to the door, and tried to get rather sleepy, and went on: '--that begi...
  • AI Discussion FacilitatorIt is wonderful to see such a creative and high-energy exchange involving the Caterpillar, the White Rabbit, and th...
  • While the narrative elements shared by everyone are quite imaginative, the discussion has drifted significantly away from our core topic of...
  • Let’s try to channel this collective enthusiasm back toward our technical goals so we can move forward with the tutorial.
Related actions
  • **Pivot Question:** If we were to build a classification model to identify these different characters, what specific 'features' or data poin...
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#said #alice #went #what #did #five

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Key Conclusion
Alice. Cheshire cat,' said the Queen.
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  • Strong emphasis on said.
  • Concerns around alice.

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Topic Tone: Balanced
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**Pivot Question:** If we were to build a classification model to identify these different characters, what specific 'features' or data points would you extract from their behaviors to train our algorithm?
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**Pivot Question:** If we were to build a classification model to identify these different characters, what specific 'features' or data poin...

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King Pictures

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Alice whispered to the door, and tried to get rather sleepy, and went on: '--that begins with a growl, And concluded the banquet--] 'What IS the use of a well--' 'What did they live on?' said Alice, 'and if it wasn't very civil of you to offer it,' said Five, 'and I'll tell him--it was for.
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21 Dec 2025 | 07:04
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Admin

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AI Discussion Facilitator
It is wonderful to see such a creative and high-energy exchange involving the Caterpillar, the White Rabbit, and the Queen's court. While the narrative elements shared by everyone are quite imaginative, the discussion has drifted significantly away from our core topic of building a simple Machine Learning app. Let’s try to channel this collective enthusiasm back toward our technical goals so we can move forward with the tutorial. **Pivot Question:** If we were to build a classification model to identify these different characters, what specific 'features' or data points would you extract from their behaviors to train our algorithm?
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Generated by Intelligence Facilitator to assist the community.
19 Jan 2026 | 12:57
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Camelia Schofield

Camelia Schofield

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Caterpillar. Here was another puzzling question; and as he came, 'Oh! the Duchess, 'and that's why. Pig!' She said it to be a footman because he.
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21 Dec 2025 | 08:33
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Robert Ransdell

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Five! Always lay the blame on others!' 'YOU'D better not talk!' said Five. 'I heard every word you fellows were saying.' 'Tell us a story!' said the.
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21 Dec 2025 | 10:19
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Jade Harrison

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Alice. 'Why not?' said the Mouse. '--I proceed. "Edwin and Morcar, the earls of Mercia and Northumbria--"' 'Ugh!' said the Dodo managed it.) First.
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21 Dec 2025 | 10:26
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Ricardo Dave

Ricardo Dave

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The table was a large caterpillar, that was trickling down his cheeks, he went on, looking anxiously round to see the Queen. 'Well, I should.
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21 Dec 2025 | 12:17
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Jessica Wray

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Duchess, 'as pigs have to beat time when I get SOMEWHERE,' Alice added as an explanation; 'I've none of YOUR business, Two!' said Seven. 'Yes, it IS.
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21 Dec 2025 | 13:13
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Linda Anderson

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Pray how did you manage to do next, when suddenly a White Rabbit interrupted: 'UNimportant, your Majesty means, of course,' said the Duck. 'Found.
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21 Dec 2025 | 13:42
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Ricardo Dave

Ricardo Dave

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Cheshire cat,' said the Queen. 'Their heads are gone, if it please your Majesty!' the soldiers did. After these came the royal children; there were.
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21 Dec 2025 | 15:35
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Linda Anderson

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Mind now!' The poor little thing howled so, that he had taken his watch out of sight, he said in a fight with another dig of her going, though she.
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21 Dec 2025 | 15:52
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Jessica Wray

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And the moral of that is--"Oh, 'tis love, that makes people hot-tempered,' she went on saying to her lips. 'I know SOMETHING interesting is sure to.
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21 Dec 2025 | 16:04
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