Kishore Jethanandani

Deep Learning: Make Sense of Humongous Datasets

NO RATINGS
1 saves
View Comments: Newest First | Oldest First | Threaded View
Page 1 / 2   >   >>
Judith M. Myerson, MSE, ACG, CRISC
User Rank
Prospector
Deep learning technique
Judith M. Myerson, MSE, ACG, CRISC   1/18/2016 12:20:07 PM
NO RATINGS
Kishore, can you tell me which deep learning technique you have been talking about: dropout, no-drop, dropconnect or gradient descent? Which technique would you consider the most effective in reducing health care costs?

Jamescon
User Rank
Editor
Re: Better medicine
Jamescon   11/29/2015 4:41:15 PM
NO RATINGS
I'm not confident that deep learning tech in healthcare will reduce costs. We have imaging technologies that make diagnosis more accurate, targeted nanoscale treatments with new drugs, doctors handing off routine care to nurse practitioners and physicians assistants, robotic surgery, and limits on hospital stays. Yet, costs continue to soar when each of those steps should have cut costs. What doctor or hospital is going to reduce their fees?

PredictableChaos
User Rank
Data Doctor
Re: Better medicine
PredictableChaos   11/29/2015 3:50:42 PM
NO RATINGS
Predictions about human health will be accurate because these are chemical and biological processes.

I'm less confident about predicting the financial markets since these depend on human behavior. Am I the only one that finds it difficult to predict how people will act and react?

kq4ym
User Rank
Data Doctor
Re: Better medicine
kq4ym   11/29/2015 12:46:42 PM
NO RATINGS
Deep learning should eventually prove to be real lifesavers for the health industry. And if the costs of doctors reading charts and numbers can be reduced, theoretically healthcare cost should be able to be reducted significantly. I wonder if deep learning of financial data may lead to some important understandings, or just demonstrate that perhaps financial markets are more random that we think?

louisw900
User Rank
Blogger
Re: A Rethorical Look at the Potential of the Human Brain
louisw900   11/23/2015 2:46:21 PM
NO RATINGS

"...So I see humans and machines playing complementary roles."

 

@Kishore    No disagreement here.   I have just been noticing more and more that no one wants to think or learn anymore.   Just Google it, get an answer and not have enough intellectual background to even question the results.   It is as if we have all given up on our potential because of the almighty computer.

Sad.

Kishore Jethanandani
User Rank
Blogger
Re: A Rethorical Look at the Potential of the Human Brain
Kishore Jethanandani   11/18/2015 12:37:12 AM
NO RATINGS
@Louis Watson: There are pros and cons of the human brain and that of deep learning by machines. Humans are certainly more creative, analytical and intuitive while machines process much larger volumes of data at a higher speed. So I see humans and machines playing complementary roles.

Kishore Jethanandani
User Rank
Blogger
Re: Let's automate this
Kishore Jethanandani   11/18/2015 12:33:48 AM
NO RATINGS
@Terry Sweeney: It is more like rushing towards automated analytics. Humans play a role later when you try to make sense of the patterns identified. For real-time analytics, the entire process is automated. The technology is quite advanced and is especially useful in medical diagnostics, speech recognition, etc

louisw900
User Rank
Blogger
A Rethorical Look at the Potential of the Human Brain
louisw900   11/17/2015 11:13:44 PM
NO RATINGS

Interesting arguments for the wonders of computing.  This argument that the human brain ( even though we do not even understand it completely) is not capable of coming to the same conclusions as say, Watson is something I am not prepared to throw the towel in on. 

Sure only a small percentage ( Einstein and the rest) have even come close to harnessing the power of one's own intellect or brain for the sake of argument.

But do we know for a fact that the brain cannot process as effectively Watson ?   Because few could ever operate it (their brain) to it's fullest potential ?

There is no doubt I would lose to Watson rather quickly in chess for instance but this result does not inherently demenish the ability of the brain to function almost as efficiently as Watson itself.

Just because we have never seen this result (often) does not mean this possibity cannot exist. 

T Sweeney
User Rank
Blogger
Let's automate this
T Sweeney   11/17/2015 10:42:40 PM
NO RATINGS
Are we tiptoeing up to automated analytics with deep un/supervised learning? This makes a huge amount of sense for big data volumes where human power can't touch its subtleties, nuances or important insights.

jmyerson2
User Rank
Data Doctor
Predicitng ear infections
jmyerson2   11/17/2015 4:02:46 AM
NO RATINGS
The idea of predicting ear infection with a mobile device connected to a supercomputer such as Watson would be a great idea.  It would help prevent hearing problems by predicting early signs of ear infections when a child is very young.

Page 1 / 2   >   >>
Information Resources
More Blogs from Kishore Jethanandani
Artificial intelligence technology is at a point where enterprises have to start trusting it more often for decision making, according to an AI expert from PwC.
The Internet of Thing’s last mile holds rich data seams that can be opened for data mining with mesh networks.
Even though companies have just scratched the surface with adoption of prescriptive analytics, some are getting real-world benefits, based on better decision making.
The benefits of adding intelligence in the form of algorithms to edge devices in the IoT can provide huge benefits, and advances in technology are enabling developers to build applications that take advantage of that intelligence.
Radio Show
A2 Conversations
UPCOMING
James M. Connolly
Evolution of the Data Scientist Role


3/23/2017   REGISTER   0
UPCOMING
Jessica Davis
Monetize Your Data: Turning Insights Into Action


3/29/2017   REGISTER   0
ARCHIVE
Jessica Davis
Data Analysts in Training: Meeting Tomorrow's Demand


3/8/2017  LISTEN   63
ARCHIVE
Jessica Davis
Our Bodies, Our Data: Medical Records For Sale


2/21/2017  LISTEN   63
ARCHIVE
Jessica Davis
Energy Analytics: Using Data to Find Savings


2/14/2017  LISTEN   44
ARCHIVE
Jessica Davis
Sharpen Your Analytics & Data Management Strategy


2/8/2017  LISTEN   74
ARCHIVE
Jessica Davis
Analytics: Make the Most of Data's Potential in 2017


1/19/2017  LISTEN   19
ARCHIVE
Jessica Davis
A2 Radio: Can You Trust Your Data?


12/20/2016  LISTEN   70
ARCHIVE
James M. Connolly
Retail Analytics: See Where Style Meets Statistics


12/6/2016  LISTEN   53
ARCHIVE
James M. Connolly
Why the IoT Matters to Your Business


11/29/2016  LISTEN   45
ARCHIVE
James M. Connolly
Will Data and Humans Become Friends in 2017?


11/22/2016  LISTEN   40
ARCHIVE
James M. Connolly
We Can Build Smarter Cities


10/20/2016  LISTEN   31
Information Resources
Quick Poll
Quick Poll
About Us  |  Contact Us  |  Help  |  Register  |  Twitter  |  Facebook  |  RSS