1. GOOD YULE
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It's December
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Apparently there is an extra deadline this month
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24 December: submit presents
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Reviews should be polite and positive

2. WHAT LEON DOES
Natural Language Processing: part of Artificial Intelligence
..which is Really Cool

3. HARD MATHS AND BORING PROOFS
Pruned Hidden Markov Model
Semi-supervised Conditional
Random Field Entropy Gradient

4. HARD MATHS AND BORING PROOFS
from scipy import HMM
Pruned Hidden Markov Model
from scipy import CRF
Semi-supervised Conditional
Random Field Entropy Gradient
→ optimised drinking time

5. EVALUATING ARTIFICAL INTELLIGENCE
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“Machine Learning”: getting the computer to write the program
for itself, so you can go drinking
Assumes that the human is intelligent
Is this an appropriate assumption? Can you think of any counter-examples?

6. EVALUATING ARTIFICAL INTELLIGENCE
●
●
“Machine Learning”: getting the computer to write the program
for itself, so you can go drinking
Assumes that the human is intelligent
Is this an appropriate assumption? Can you think of any counter-examples?

7. BIG DATA & SOCIAL MEDIA
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“3V” definition of Big Data:
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1. Velocity: 6000000000000000 tweets / second
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2. Volume: 9999999999999 active teenagers / day

8. BIG DATA & SOCIAL MEDIA
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“3V” definition of Big Data:
–
1. Velocity: 6000000000000000 tweets / second
–
2. Volume: 9999999999999 active teenagers / day
–
3. Variety: Virus prediction, earthquake detection,

9. BIG DATA & SOCIAL MEDIA
●
“3V” definition of Big Data:
–
1. Velocity: 6000000000000000 tweets / second
–
2. Volume: 9999999999999 active teenagers / day
–
3. Variety: Virus prediction, earthquake detection, 90% BIEBER

10. BIG DATA & SOCIAL MEDIA
●
“3V” definition of Big Data:
–
1. Velocity: 6000000000000000 tweets / second
–
2. Volume: 9999999999999 active teenagers / day
–
3. Variety: Virus prediction, earthquake detection, 90% BIEBER