AI & Machine Learning
epub |eng | | Author:Gregory Benford
Privacy and the Servant Problem The downside is obvious. A linked world is also a nosy one; we can expect robots to be no different. Indeed, tiny ’bots slipping into ...
( Category:
Robotics & Automation
June 4,2019 )
mobi |eng | 2017-08-16 | Author:Tom Hope, Yehezkel S. Resheff, and Itay Lieder
The target variable is the median value of owner-occupied homes in thousands of dollars. In this example we try to predict the target variable by using some linear combination of ...
( Category:
Intelligence & Semantics
May 20,2019 )
mobi |eng | 2016-12-27 | Author:Adrian Kaehler and Gary Bradski
The first difference is that FAST only uses the points on a ring around P. The second is that individual points on the ring are classified as either darker than ...
( Category:
DSPs
May 20,2019 )
mobi, pdf |eng | 2012-02-12 | Author:Drew Conway and John Myles White
Figure 6-4. Nonlinear data with smooth linear fit By adding two more inputs, we went from an R2 of 60% to an R2 of 97%. That’s a huge increase. And, ...
( Category:
Machine Theory
May 20,2019 )
mobi, epub, pdf |eng | 2012-10-10 | Author:James Pustejovsky and Amber Stubbs
MaxEnt works by keeping the entropy at a maximum while remaining consistent with the partial information that we have available to us, that is, the evidence. We will define any ...
( Category:
Natural Language Processing
May 20,2019 )
epub |eng | | Author:Mathew Salvaris, Danielle Dean & Wee Hyong Tok
The Convolution in Convolution Neural Networks To keep things simple when talking about convolution we will be talking about discrete convolution. Mathematically, convolution is the simple summation of the pointwise ...
( Category:
Intelligence & Semantics
May 20,2019 )
epub |eng | | Author:Nishith Pathak & Anurag Bhandari
Clicking on Start Free redirects you to the form shown in Figure 5-3. Fill in the details for getting the Azure account. Figure 5-3The form for signing up for the ...
( Category:
Intelligence & Semantics
May 20,2019 )
epub |eng | 2016-10-09 | Author:Andreas C. Müller & Sarah Guido
Private Employee 0 1 0 0 Self Employed 0 0 1 0 Self Employed Incorporated 0 0 0 1 Note The one-hot encoding we use is quite similar, but not ...
( Category:
Natural Language Processing
May 20,2019 )
epub |eng | 2016-12-27 | Author:Adrian Kaehler & Gary Bradski
Keypoint finder Start by taking a look at (a somewhat simplified version of) the blob detector’s declaration: class SimpleBlobDetector : public Feature2D { public: struct Params { Params(); float minThreshold; ...
( Category:
DSPs
May 20,2019 )
epub |eng | 2017-08-16 | Author:Tom Hope, Yehezkel S. Resheff & Itay Lieder
model = learn.<some_Estimator>() Then we fit it using our training data: model.fit() We evaluate the model to see how well it does on some given dataset: model.evaluate() Finally, we use ...
( Category:
Intelligence & Semantics
May 20,2019 )
mobi |eng | 2009-06-12 | Author:Steven Bird, Ewan Klein, and Edward Loper
Individual features make their contribution to the overall decision by “voting against” labels that don’t occur with that feature very often. In particular, the likelihood score for each label is ...
( Category:
Object-Oriented Design
May 19,2019 )
epub |eng | 2009-06-12 | Author:Steven Bird, Ewan Klein & Edward Loper
Naive Bayes Classifiers In naive Bayes classifiers, every feature gets a say in determining which label should be assigned to a given input value. To choose a label for an ...
( Category:
Object-Oriented Design
May 19,2019 )
epub |eng | | Author:Bruno Siciliano & Oussama Khatib
( Category:
Intelligence & Semantics
May 17,2019 )
epub |eng | 2019-03-29 | Author:Rudy Lai
Testing our custom RDD Let's start this test to check if this has created our RDD. By doing this, we can extend our parent RDD and add behavior to our ...
( Category:
Intelligence & Semantics
May 6,2019 )
epub |eng | 2019-03-29 | Author:Yoon Hyup Hwang
User-based collaborative filtering and recommendations In order to build a user-based collaborative filtering algorithm, we need to compute cosine similarities between users. Let's take a look at the following code: ...
( Category:
Intelligence & Semantics
May 4,2019 )
Categories
| Computer Vision & Pattern Recognition | Expert Systems |
| Intelligence & Semantics | Machine Theory |
| Natural Language Processing | Neural Networks |
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