An Introductionto Machine Learning – (with examples, not equations)
An Introductionto Machine Learning – (with examples, not equations)
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intro-to-machine-learning
On Github azza-bazoo / intro-to-machine-learning
An Introductionto Machine Learning
(with examples, not equations)
These slides: hourann.com/2014/pds
Let’s talk about the weather!
Brolly
Another example we’re all familiar with ...
Collaborative filtering
The secret sauce for both BellKor’s Pragmatic Chaos and The Ensemble was collaboration between diverse ideas, and not in some touchy-feely, unquantifiable, “when people work together things are better” sort of way. The top two teams beat the challenge by combining teams and their algorithms into more complex algorithms incorporating everybody’s work. The more people joined, the more the resulting team’s score would increase.
About a year after Pole created his pregnancy-prediction model, a man walked into a Target outside Minneapolis and demanded to see the manager. He was clutching coupons that had been sent to his daughter, and he was angry, according to an employee who participated in the conversation.
“My daughter got this in the mail!” he said. “She’s still in high school, and you’re sending her coupons for baby clothes and cribs? Are you trying to encourage her to get pregnant?”
The manager apologized and then called a few days later to apologize again.
On the phone, though, the father was somewhat abashed. “I had a talk with my daughter,” he said. “It turns out there’s been some activities in my house I haven’t been completely aware of. She’s due in August. I owe you an apology.”
Now we’re in the land of ...
Regression
BuildTrue
Simplify one side to get ...
Classification
research.google.com/en/archive/unsupervised_icml2012.pdf
When computer scientists at Google ... built a neural network of 16,000 computer processors with one billion connections and let it browse YouTube, it did what many web users might do — it began to look for cats.
Deep Learning
(We suddenly got intense there)
MetaMind
Back to something easier ...
Time Series
Fraud detection
Intrusion detection
Automated server management
CMC
Neptune
Runbook
Let’s talk Bitcoin!
A brief primer
- Secure digital transactions enable real innovation
- Very low fees: remittances! 37coins.com
- Micro-payments (BTC 0.000001 == BIT 100)
- The blockchain: complete traceability of transactions! onename.io
- Liquidity remains an issue for non-USD currencies
MojuCoin
Thanks!
Questions?
These slides: hourann.com/2014/pds