Keras is high-level API wrapper for the low-level API, capable of running on top of TensorFlow, CNTK, or Theano. Keras High-Level API handles the way we make models, defining layers, or set up multiple input-output models. In this level, Keras also compiles our model with loss and op...
Regression SVM type 1 (also known as epsilon-SVM regression) Regression SVM type 2 (also known as nu-SVM regression) Types of kernels Linear kernel Polynomial kernel Radial basis function kernel (RBF)/ Gaussian Kernel Sigmoid Kernel Nonlinear Kernel Advantages/Features of SVM It is really ef...
Therefore, It would be unwise to replace the missing values with median, mean or mode. We will use machine learning model Random Forest Regressor to impute missing value instead of Null value. We will keep the age column unchanged for now and work on that in the feature engineering section....
Especially in geometry problems, we sometimes use epsilons. However writers should be careful about the use of epsilons. GOOD: We know |b| and |d| are up to 104. Let's use eps = 10 - 9 for comparing two fractions a / b and c / d. BAD: Let's use eps =...
armed bandits algorithms, including epsilon-greedy, upper confidence bound, and Thompson sampling. At the moment, Yelp’s platform team is experimenting withcontextual bandits, which uses context from incoming user data to make better decisions on what model to use for interference in near real-...
the number of elements in \(\sigma \). We assume that all elements of \(\sigma \) are distinct (i.e. an employee does a specific training at most once). Let \(D = \{\sigma _1, \sigma _2, \ldots , \sigma _N\}\) denote the set of all N training sequences, where \(\...