machine learning essentials (dsth meetup#3)

23
Machine Learning Essentials Data Science Thailand Meetup#3 @Ne8T 17 December 2015 โกเมษ จันทวิมล Komes Chandavimol [email protected] http://www.cs.toronto.edu/~urtasun/courses/CSC411/CSC411_Fall15_files/ machine_learning.jpg

Upload: data-science-thailand

Post on 08-Apr-2017

1.045 views

Category:

Data & Analytics


0 download

TRANSCRIPT

Machine  Learning  Essentials  

Data  Science  Thailand  Meetup#3  @Ne8T  

17  December  2015  

โกเมษ จันทวิมล.Komes  Chandavimol  

[email protected]  

http://www.cs.toronto.edu/~urtasun/courses/CSC411/CSC411_Fall15_files/machine_learning.jpg  

2  http://www.adweek.com/prnewser/how-­‐many-­‐times-­‐do-­‐the-­‐worlds-­‐social-­‐media-­‐users-­‐click-­‐every-­‐minute/117427  

https://www.domo.com/learn/data-­‐never-­‐sleeps-­‐3-­‐0  

Big  Data  Growth  

3  

http://www.wired.com/insights/2014/07/data-­‐new-­‐oil-­‐digital-­‐economy/  

Big  Data  w/o  Algo  

“Data  is  inherently  dumb.  It  doesn’t  actually  do  anything  unless  you  know  how  to  use  it;  how  to  act  with  it,”  Mr.  Sondergaard  

“Algorithms  are  where  the  real  value  lies.  Algorithms  define  action.  Dynamic  algorithms  are  the  core  of  new  customer  interactions.”  

“The  algorithmic  economy  will  power  the  next  great  leap  in  machine-­‐to-­‐machine  evolution  in  the  Internet  of  Things,  

“Products  and  services  will  be  defined  by  the  sophistication  of  their  algorithms  and  services.  Organizations  will  be  valued,  not  just  on  their  big  data,  but  the  algorithms  that  turn  that  data  into  actions,  and  ultimately  impact  customers.  

http://www.zdnet.com/article/big-­‐data-­‐is-­‐useless-­‐without-­‐algorithms-­‐gartner-­‐says/

ML  

Machine  learning  is  a  core,  transformative  way  by  which  we’re  rethinking  everything  we’re  doing.  We’re  thoughtfully  applying  it  across  all  our  products,  be  it  search,  ads,  YouTube  or  Play    

Sundar  Pichai,  CEO,  Google  

The  field  of  study  that  gives  computers  the  ability  to  learn  without  being  explicitly  programmed.”  Arthur  Samuel  (1990)    Improving  Performance  in  some  Task  with  Experience”.  Tom  Mitchell Tom  Mitchell  (1998)    Machine  Learning  deals  with  systems  that  can  learn  from  data.  

What  is  Machine  Learning?  

http://nkonst.com/machine-­‐learning-­‐explained-­‐simple-­‐words/  Wikipedia  

Workflow  

http://nkonst.com/machine-­‐learning-­‐explained-­‐simple-­‐words/    

Data

New Analytic Insights (Information, knowledge, data story)

Data Product + Visualization Mass Analytic Tools

Recommender systems Machine Learning

Complex Event Processing Data Science Team

Data Scientist Picture:http://www.clipartpanda.com/categories/scientist-clip-art

Where is ML in Data Science?

Doing Data Science by O'Neil et al (2013) DatascienceTh.com

Datafication

The  Application  of  ML  

Amazon.com,  netflix.com,  facebook.com    

Fraud  Detection  

https://www.mapr.com/blog/new-­‐age-­‐fraud-­‐analytics-­‐machine-­‐learning-­‐hadoop  Skytree    

*  Personal  Assistants  (Siri)  *  Adorable  robots  (Jibo)  *  Dinosoir  Toy  (Watson)  *  DeepFace  

The  Application  of  ML  

https://cognitoys.com/#  

ML  in  Healthcare  

Reference:  Grenplum,  vmware,  emc2    

ML  in  Finance  

https://www.mapr.com/blog/new-­‐age-­‐fraud-­‐analytics-­‐machine-­‐learning-­‐hadoop  Skytree    

ML  at  Yahoo  

http://www.slideshare.net/Hadoop_Summit/surge-­‐rise-­‐of-­‐scalable-­‐machine-­‐learning-­‐at-­‐yahoo  

ML  in  Retail  

http://www.slideshare.net/sushantshankar1/ml-­‐meetup-­‐20150130-­‐presentation  

http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/  

http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/  

http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/  

Oct  

http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/  

R,Python,  Weka  Excel  Armadillo  C++  Scilkit  Learn  for  python    

Machine  Learning  Tools  

Google  TensorFlow  Twitter  Dimsum  Airbnb  AeroSolve  Facebook  Torch  (deep  learning)  Linkedin  FeatureFu    

Microsoft  Azure  ML  Google  Prediction  API  Amazon  ML  IBM  Watson  Analytics    

Spunk  ML  SAP  Predictive  Analytics  SAS  SPSS  

Rapid  Miner  

Landscape