Ping Yan

Data scientist, Infosec researcher, an innovator and a self-starter.

[Ping Yan @pingpingya]

Our talk at Spark Summit on behavior profiling and machine learning for anomalies detection.
https://t.co/jji4jdK87n

[Ping Yan @pingpingya]

sharing worthy - the ultimate cheat sheet of ML and DL. https://t.co/ee66RGKTYx

[Ping Yan @pingpingya]

Will be presenting at @spark_summit June 6th - ML for user behavior anomaly detection. Pls come to check it out! https://t.co/pvVU2qN7CI

[Ping Yan @pingpingya]

NN learning with just a few examples - Matching networks for one shot learning https://t.co/WC2Tmxot4B

[Ping Yan @pingpingya]

https://t.co/QR9wskH9pr
Forecoin challenge? …

[Ping Yan @pingpingya]

Slides at Spark Summit 2016 now available - the GraphX enabled algorithm for application access anomaly detection. I…https://t.co/u87gQZdx5h

[Ping Yan @pingpingya]

If you’re interested in going to #SparkSummit16, today is the last day for the 15% discount code “SpeakerFriend16”…
See you all there!

[Ping Yan @pingpingya]

https://t.co/H2Wnz9aLp7 I cannot believe that I just found this blog. Check out the one on LSTM and visual information theory. DL explained.

[Ping Yan @pingpingya]

Talk accepted at #SparkSummit16 :) Tentatively titled "Graph Analytics for Cross-Entity Threat Detection". Hope to see you June 6-7 in SF!

[Ping Yan @pingpingya]

@mathisonian It was this preso I was referring to https://t.co/QHxEvrf0Sm Thanks.

[Ping Yan @pingpingya]

@mathisonian, I just saw the lighting demo sparksummit15. Love it. Do you still have the notebook you used in the demo to share? Thanks!

[Threatpost @threatpost]

A @Harvard paper rebuts #GoingDark + says plenty of surveillance opportunities remain - https://t.co/PmkPZmZFzw

[Ping Yan @pingpingya]

@m_roqo Thanks! I'm okay. It is not uncommon, I will find way to deal with it. Cheers!

[Ping Yan @pingpingya]

Even worse, presenting it to stakeholders while you are in hospital.

[Ping Yan @pingpingya]

It really sucks when someone just took your idea ran with it

[Ping Yan @pingpingya]

New DNS Traffic Analysis Techniques to Identify Global Internet Threats by @opendns #dns #flocon https://t.co/KvWllnzGi2 via @SlideShare

[Kirk Borne @KirkDBorne]

Continuous Rank Probability Score (CRPS) – Definition and Use:
https://t.co/RtuaFfouQp #DataScience #Statistics

[Frank @jedisct1]

Botconf 2015 Wrap-Up Day #1 https://t.co/f8oBTzNrap

[Ping Yan @pingpingya]

Quite an informative preso by Richard Socher of MetaMind #DF15! Yet to master the power of unsupervised feature learning via deep learning.

[Ping Yan @pingpingya]

I'm surprised that google didn't tap into the road and had come up with the ridesharing service long time ago… http://t.co/D0nQI42zFP