Machine-learning algorithms are often used in recommendation engines.

1

• Machine-learning algorithms are often used in
  recommendation engines.

2

• Q . What type of machine learning do you use
  for iprediq?
• A . We apply our own proprietary machine learning
  systems. The artificial intelligence we work on
  here automatically converts unstructured
  information into useful, actionable knowledge.

3

• Q . What makes you believe iprediqs domain /
  Machine learning  is the future?
• A . we get computers automatically learn from
  examples and predict the future accurately. The
  range of applications is huge from product
  recommendation to face recognition, to game
  playing,  to stock trading.

4

• Q. Where can we expect to see machine learning in
  society in the near future?
• A. Machine learning has many very interesting
  future applications  
•   Use in self-driving cars, such
  as in Googles current driverless car project
•   Applications for real time object
  recognition, as is necessary for many
  augmented reality applications
•    language translation
•   Learning to map brain imaging data to an
  indicator of what a person is thinking about
•   Enhancing the automated identification and
  predictions to  serious ailments, such a
  cancer

5

• Q. Any particular area you are excited about?
• A . The big leap we are making is not only to dig
  into things like structured databases but to
  analyze unstructured information??such as
  documents or images on the Internet??and be able
  to make use of them as well. Thats where the big
  gains are going to be in the next few years. I
  also think the only path to developing really
  powerful AI would be to use this unstructured
  information. Its also called unsupervised
  learning you just give it data and it learns by
  itself what to do with it, what the structure is,
  what the insights are. We are only interested in
  that kind of AI.

6

• The INTERVIEW should be in 3rd party. And dont
  link this to facebook

7

• Q . We read about Deep Learning and Machine
  learning a lot these days. It is said it works
  just like the brain can you explain?

8

• A . I do not agree to this. Though I am not a
  brain researcher, I feel  its very far from what
  the brain actually does. And describing it like
  the brain gives a bit of the aura of magic to it,
  which is dangerous. This leads to a lot of hype
  where people claim things that are not true.
  Artifical Intelligence has gone through a number
  of winters because people claimed things they
  couldnt deliver.

9

• Q. What would you say is our biggest benefit from
  machine learning and AI so far?
• A . I do not think that machine learning has some
  killer application that has radically changed our
  lives. I would rather say ,machine learning has
  become integrated into hundreds of different
  applications. Most of the time we arent even
  aware of it being  ther .

10

• For instance, Netflix uses machine learning to
  improve its movie recommendations for us, Amazon
  applies it to recommending better products,
  Google uses it to translate languages, and
  digital cameras relies on it to identify faces in
  photographs. We're using the output of machine
  learning algorithms all the time, we just don't
  realize it.

11

• Q. if I had to ask you to describe in as few
  words as you can, what would you say ?
• A . I need to think about this. Pls give me some
  time.  I think it would be machines that learn
  . Or put it another way it would be end-to-end
  machine learning. Well let me think a bit more
  Its the idea that every component, every stage
  in a learning machine can be trained for better
  outcomes etc .

12
It will results in great new applications that
are currently hard to imagine.