AI Superstar Andrew Ng Is Democratizing Deep Learning With A New Online Course

#AI hero @AndrewYNg is #democratizing #deeplearning w/ new online course
in @FastCompany

  • That’s the vision of Andrew Ng, a founder of the Google Brain deep learning project, and former head of AI at Baidu–a position he left in March–who is today announcing a set of five interconnected online courses on the subject.
  • “Today, if you want to learn deep learning, there are lots of people searching online, reading [dozens of] research papers, reading blog posts, and watching YouTube videos,” Ng tells Fast Company.
  • As Ng sees it, getting to an AI-powered economy is going to take the work of much more than any one, or even several companies.
  • “I hope we can build an AI-powered future that provides everyone affordable healthcare, accessible education, inexpensive and convenient transportation, and a chance for meaningful work for every man and woman,” Ng says in his announcement, which is the first from his newly created company, deeplearning.ai.
  • Ng is aware that many people are still confused by AI, often getting bogged down in the different subspecialties, and lingo that can easily be misused.

The founder of Google Brain and former head of Baidu’s AI efforts wants to train a giant new workforce to help make “AI the new electricity.”

Continue reading “AI Superstar Andrew Ng Is Democratizing Deep Learning With A New Online Course”

Year in Review: Deep Learning Breakthoughts 2016

Year in Review: #DeepLearning Breakthoughts 2016 #abdsc

  • You need to be a member of Data Science Central to add comments!
  • 2016 has been a breakthrough year for deep learning, especially for Google and DeepMind.
  • Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs.
  • (For those of you who are interested in a crash course in deep learning, ‘s a great video by Andrew Ng at Stanford.)
  • Although not the most sophisticated use of deep learning that we’ve seen, we must hand it to him for originality and capturing the zeitgeist.

Today we are featuring the year’s most interesting breakthroughs in deep learning that we have been fawning over at Grakn Labs. (For those of you who are inter…
Continue reading “Year in Review: Deep Learning Breakthoughts 2016”

What to try Next when stuck in Machine Learning Problem?

How to refine & improve a #MachineLearning model:  #BigData #DataScience

  • Try increasing lambda (i,e regularization factor) –> to fix High Variance
  • Try smaller set of features –> to fix High Variance
  • You need to be a member of Data Science Central to add comments!
  • First check whether model is suffering from ‘High Bias’ or ‘High Variation’ then try any of the following method to fix the issue.
  • Try adding polynomial features (i.e higher order features) –> to fix High Bias

Read the full article, click here.


@KirkDBorne: “How to refine & improve a #MachineLearning model: #BigData #DataScience”


People waste a lot of time if don’t know the proper way of dealing with machine learning problem.  Here is a very good and quick rule of thumb by Andrew Ng tha…


What to try Next when stuck in Machine Learning Problem?

What to try Next when stuck in Machine Learning Problem?

What to Try Next when stuck in a #MachineLearning Problem?  #abdsc #BigData #DataScience

  • Try increasing lambda (i,e regularization factor) –> to fix High Variance
  • Try smaller set of features –> to fix High Variance
  • You need to be a member of Data Science Central to add comments!
  • First check whether model is suffering from ‘High Bias’ or ‘High Variation’ then try any of the following method to fix the issue.
  • Try adding polynomial features (i.e higher order features) –> to fix High Bias

Read the full article, click here.


@KirkDBorne: “What to Try Next when stuck in a #MachineLearning Problem? #abdsc #BigData #DataScience”


People waste a lot of time if don’t know the proper way of dealing with machine learning problem.  Here is a very good and quick rule of thumb by Andrew Ng tha…


What to try Next when stuck in Machine Learning Problem?