Why nature is our best guide for understanding artificial intelligence

Why nature is our best guide for understanding artificial intelligence  #ai #machinelearning

  • Google’s AI translation tool seems to have invented its own secret internal language
  • There’s great opportunity in AI, and natural evolution provides a framework for us to study and prepare for the future of machine evolution.
  • For the sake of our comparison (natural evolution to machine evolution), let’s consider data and how it is normalized as “the environment” and the training process as “Natural Selection.
  • Big data company Palantir quietly raised another $20M in November
  • Much like natural evolution, different organisms solve for the same problem differently depending on their environment, but ultimately reach the same outcome.

In living organisms, evolution is a multi-generational process where mutations in genes are dropped and added. Well-adapted organisms survive and those less..
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5 EBooks to Read Before Getting into A Machine Learning Career

#ICYMI 5 #MachineLearning EBooks

  • The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • The online version of the book is now complete and will remain available online for free.
  • Sure, many important advancements have been made in machine learning since this was put together, as Nilsson himself says, but these notes cover much of what is still considered relevant elementary material in a straightforward and focused manner.
  • Well, there’s always a collection of tutorials on pursuing machine learning in the Python ecosystem.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

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Advancing our ambition to democratize artificial intelligence

Microsoft + OpenAI partner to bring AI to everyone

  • The week at Microsoft Ignite, we showed how we are infusing artificial intelligence (AI) broadly Read more >
  • On Wednesday, Microsoft shared its aspiration to empower a new Read more >
  • With the new service, developers can accelerate the development of bots with the Microsoft Bot Framework and easily deploy and manage them in a serverless environment on Azure.
  • Microsoft has released an updated version of Microsoft Cognitive Toolkit, Read more >
  • Newly updated Microsoft Cognitive Toolkit can help speed advances in deep learning Photo of Frank Seide standing at the top of a stairway at Microsoft

Harry Shum, Microsoft AI and Research Group executive vice president, and Sam Altman, co-chair of OpenAI. (Photo by Brian Smale)
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5 EBooks to Read Before Getting into A Machine Learning Career

#ICYMI 5 EBooks to Read Before Getting into A #MachineLearning Career

  • The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • The online version of the book is now complete and will remain available online for free.
  • Sure, many important advancements have been made in machine learning since this was put together, as Nilsson himself says, but these notes cover much of what is still considered relevant elementary material in a straightforward and focused manner.
  • Well, there’s always a collection of tutorials on pursuing machine learning in the Python ecosystem.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

Continue reading “5 EBooks to Read Before Getting into A Machine Learning Career”

5 EBooks to Read Before Getting into A Machine Learning Career

#ICYMI 5 #EBooks to Read Before A #MachineLearning Career

  • The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
  • A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.
  • The online version of the book is now complete and will remain available online for free.
  • Sure, many important advancements have been made in machine learning since this was put together, as Nilsson himself says, but these notes cover much of what is still considered relevant elementary material in a straightforward and focused manner.
  • Well, there’s always a collection of tutorials on pursuing machine learning in the Python ecosystem.


A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field.

Continue reading “5 EBooks to Read Before Getting into A Machine Learning Career”

Geoffrey Hinton talks about Deep Learning, Google and Everything

Learn top @google #AI thought leader, Geoffrey Hinton's perspective on #Deeplearning:

  • KDnuggets Home > News > 2014 > Dec > Opinions, Interviews, Reports > Geoffrey Hinton talks about Deep Learning, Google and Everything ( 14:n32 )
  • Dr. Hinton made a couple of points about Deep Learning and how our brain works on his AMA.
  • Its the first time I’ve believed that deep learning would be able to do real reasoning in the not too distant future.
  • I think the long-term future (of machine learning) is quite likely to be something that most researchers currently regard as utterly ridiculous and would reject as a NIPS paper.
  • Dr. Hinton started a course “Neural Networks for machine learning” on Coursera, which introduces artificial neural networks and its application.


A review of Dr. Geoffrey Hinton’s Ask Me Anything on Reddit. He talked about his current research and his thought on some deep learning issues.

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Microsoft releases beta of version 2.0 of its Cognitive Toolkit to ‘democratize AI’

Microsoft releases beta of version 2.0 of its Cognitive Toolkit to 'democratize #AI' | ZDNet

  • Microsoft released the first version of CNTK on Github in January 2016.
  • Microsoft is releasing a beta of its second version of its Cognitive Toolkit (formerly known as CNTK) today, October 25.
  • Microsoft is releasing a beta of its Cognitive Toolkit for developers looking to make use of deep-learning techniques in their apps and services.
  • Microsoft has used the Cognitive Toolkit internally in its work around Microsoft Cognitive Services, Cortana, and Skype Translator.
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Microsoft is releasing a beta of its Cognitive Toolkit for developers looking to make use of deep-learning techniques in their apps and services.
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