Embed Size (px)
DESCRIPTION
Uncertainty engages the mind Read this. You will be tested. Read this. It may not be true. You will be tested. Ellen Langer, Harvard University, Mindfulness Retention
Citation preview
“Learning”
New Meme
Meta-Learning
EventsProcess
Uncertainty engages the mind
Read this. You will be tested.
Read this. It may not be true. You will be tested.
Ellen Langer, Harvard University, Mindfulness
Retention
Meta-Learning Lab
Learning to learn
Formal vs. Informal LearningHow workers learn
20% of learning is formal
80% is informal
Formal vs. Informal LearningFormal vs. Informal LearningWhere
corporations invest
90% of investment goes into formal
10% invested in informal
The 20/80 Rule?The 20/80 Rule?
How Learning Works
You can’t pour tea into a full cup.
A brain can’t learn what it already knows.
Unlearn to learn
Learning conversations
Multidisciplinary views
Cognitive models
Individuals: reflection, intuition
Organizations: new default mindset
How much would you pay…?Completion time = 4 hours20% improvement in reading skills $39/person retail
The Reading LessonKnowledge worker reads 2 hours/dayYear = 250 working daysReading hours/year = 500Saving @ 20% = 100 hours/year
If annual FTE costs $100,000 Savings = $4,000
Time Myopia
Black beltwww.meta-learninglab.com
![Unsupervised Meta-Learning for Reinforcement Learning · are drawn from the same distribution as the meta-training tasks [8]. In effect, meta-reinforcement learning offloads some](https://img.pdfslide.us/doc/110x75/5c4e57c893f3c31436491eeb/unsupervised-meta-learning-for-reinforcement-learning-are-drawn-from-the-same.jpg)
![Meta-Learning for User Cold-Start Recommendation · RS, by applying model-agnostic meta learning (MAML) [11]. MAML is a general and very powerful technique proposed for meta-learning](https://img.pdfslide.us/doc/110x75/5fbdcf670e5fe867b94035f6/meta-learning-for-user-cold-start-recommendation-rs-by-applying-model-agnostic.jpg)
