b hive machine learning
TRANSCRIPT
Automation. Collaboration. Integration.
Machine Learning
Why Machine Learning
• We want intelligent, adaptive, robust behaviour.
• Often hand programming is not possible.
• Current systems cannot predict patterns within Terabytes or Petabytes of data.
• Problems with Human designed systems.
• Knowledge limit in Human.
• No more new systems.
Solution ?
Get the computer to program itself, by showing it examples of the behaviour we want!
This is Machine Learning.
How to make it happen
How to make it happen
We Train We: Hey.. This is how alphabet C will look like. Go get it.
How to make it happen
We Train
System Learns
We: Hey.. This is how alphabet C will look like. Go get it.
Machine: Oh, got it. Here is the output (C,G)
How to make it happen
We Train
System Learns
We Correct
We: Hey.. This is how alphabet C will look like. Go get it.
Machine: Oh, got it. Here is the output (C,G)
We: Your output is wrong. I want only C and not G which islooking similar to C
How to make it happen
System Perfects
Machine: Ok. Here is the result again (C).
How to make it happen
System Perfects
System Learns
Machine: Ok. Here is the result again (C).
Machine: I am learning by experience. I am learning continuously to make my result perfect.
How to make it happen
System Perfects
System Learns
Gains AI
Machine: Ok. Here is the result again (C).
Machine: I am learning by experience. I am learning continuously to make my result perfect.
Machine: I am intelligent and I can decide and think on my own. I can now bring C and c even though you teach me to bring only C
Few Categories of ML
• Result is based on the sample data
• Example: Image Classifiers
Few Categories of ML
• No Sample Data
• Example: Clustering/Information Retrieval
A Computer called Watson
• Natural Language Processing(NLP), Information Retrieval(IR) computing system
A Machine called Deep Blue
• The Machine that brought down Garry Kasparov
Where we can use ML
Natural Language Processing
Syntactic Pattern
Recognition
Search Engines
Handwriting & speech
Recognition
Object Recognition
Adaptive Websites
Sentiment Analysis
many more….
ML in Real life …
Google Mail – Sentiment Analysis
ML in Real life …
Google Mail – Sentiment Analysis
ML in Real life …
Google Mail – Auto Label
ML in Real life …
Learning to detect objects in Images – Object Recognition
That’s it on the stage …
You can meet us in the Booth 4