AI & Machine Learning
epub |eng | 2018-08-10 | Author:Kane, Frank [Kane, Frank]
Using Keras So we've had a look at developing neural networks using Tensorflow’s lower-level APIs, where instead of really thinking about neurons or units, you're thinking more about tensors and ...
( Category:
Intelligence & Semantics
October 6,2019 )
epub |eng | 2019-09-03 | Author:Matt Harrison
>>> from yellowbrick.model_selection import ( ... ValidationCurve, ... ) >>> fig, ax = plt.subplots(figsize=(6, 4)) >>> vc_viz = ValidationCurve( ... RandomForestClassifier(n_estimators=100), ... param_name="max_depth", ... param_range=np.arange(1, 11), ... cv=10, ... n_jobs=-1, ...
( Category:
Machine Theory
October 4,2019 )
epub |eng | 2019-09-27 | Author:Hurley, Richard [Hurley, Richard]
Transportation Vehicles can be connected to the internet. For example, a device on the car can monitor speed and driving habits and transmit this information to the insurance company for ...
( Category:
Neural Networks
October 3,2019 )
epub |eng | 2019-09-12 | Author:Seth Weidman
mnist_soft = NeuralNetwork( layers=[Dense(neurons=89, activation=Tanh(), weight_init="glorot", dropout=0.8), Dense(neurons=10, activation=Linear(), weight_init="glorot")], loss = SoftmaxCrossEntropy(), seed=20190119) and training the model with the same hyperparameters as before (exponential weight decay from an initial ...
( Category:
Machine Theory
September 30,2019 )
epub |eng | 2019-04-30 | Author:Jesus Salcedo
As you can see, we have the same number of cases for each of these variables. The most important predictor ended up being the TVs variable, as we can see ...
( Category:
Machine Theory
September 30,2019 )
epub |eng | 2019-09-26 | Author:Deepak Mukunthu
Figure 5-9. Azure portal—verifying that the deployment to ACI is complete Using the Azure portal, you can navigate to the ACI created and click Containers. You will see the two ...
( Category:
Intelligence & Semantics
September 30,2019 )
epub |eng | | Author:Ekaba Bisong
One-Hot Encoding In a classification problem, one-hot encoding is the process of transforming the class labels of the target variable into a matrix of binary variables. The one-hot encoder assigns ...
( Category:
Intelligence & Semantics
September 29,2019 )
epub, pdf |eng | | Author:Brett Lantz
The correlation also seems to be substantially higher: > cor(p.cubist, wine_test$quality) [1] 0.6201015 Furthermore, the model slightly reduced the mean absolute error: > MAE(wine_test$quality, p.cubist) [1] 0.5339725 Although we did ...
( Category:
Machine Theory
September 24,2019 )
epub |eng | 2019-08-31 | Author:Scarpino, Matthew [Scarpino, Matthew]
Chapter 9 Scanning for Securities * * * Each function presented in the preceding chapter requires a contract that identifies a specific financial instrument. But what if you don't know ...
( Category:
Intelligence & Semantics
September 20,2019 )
epub, pdf |eng | 2019-09-25 | Author:Aurélien Géron
Tip As a rule of thumb, if the number of categories is lower than 10, then one-hot encoding is generally the way to go (but your mileage may vary!). If ...
( Category:
Intelligence & Semantics
September 20,2019 )
epub, mobi |eng | 2019-06-14 | Author:Anish Chapagain
print(list(soup.find('p','story').contents)) ['Once upon a time there were three little sisters; and their names were\n', <a class="sister" href="http://example.com/elsie" id="link1">Elsie</a>, ',\n', <a class="sister" href="http://example.com/lacie" id="link2">Lacie</a>, ' and\n', <a class="sister" href="http://example.com/tillie" id="link3">Tillie</a>, ';\nand ...
( Category:
Intelligence & Semantics
September 19,2019 )
epub |eng | 2019-07-31 | Author:George Kyriakides
Errors and differences for gradient boost regression For the classification example, we use the hand-written digit classification dataset. Again, we define the n_estimators and learning_rate parameters: # --- SECTION 1 ...
( Category:
Computer Vision & Pattern Recognition
September 17,2019 )
epub |eng | 2019-09-11 | Author:Abhishek Mishra
You are billed for the I/O units that you have reserved (or consumed) as well as an additional flat fee for data storage costs. For more information on the costs ...
( Category:
Machine Theory
September 17,2019 )
epub |eng | 2019-09-09 | Author:Gary Marcus & Ernest Davis
9. CAUSAL RELATIONS ARE A FUNDAMENTAL ASPECT OF UNDERSTANDING THE WORLD. As Turing Award winner Judea Pearl has emphasized, a rich understanding of causality is a ubiquitous and indispensable aspect ...
( Category:
Robotics & Automation
September 14,2019 )
epub |eng | 2018-11-26 | Author:Charles Towers-Clark [Towers-Clark, Charles]
Suggesting that people will lose their job to Artificial Intelligence is one level of controversy; suggesting that children should be educated differently is far more emotive. Likewise, encouraging managers to ...
( Category:
Intelligence & Semantics
September 5,2019 )
Categories
Computer Vision & Pattern Recognition | Expert Systems |
Intelligence & Semantics | Machine Theory |
Natural Language Processing | Neural Networks |
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