Answer: An epoch is a term used in machine learning and indicates the number of passes of the entire trainin.....

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Answer: In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised lea.....

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Answer: scikit-learn: machine learning in Python. Scikit-learn is a free software machine learning library f.....

Answer: A multilayer perceptron (MLP) is a class of feedforward artificial neural network (ANN). What neural.....

Answer: Specifically, you learned: Maximum Likelihood Estimation is a probabilistic framework for solving th.....

Answer: As ordinary least squares is a form of regression, used to inform predictions about sample data, it .....

Answer: Few-shot learning refers to understanding new concepts from only a few examples. As the name implies.....

Answer: VGG is an innovative object-recognition model that supports up to 19 layers. VGG-19 is a convolution.....

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Answer: The objective of a Linear SVC (Support Vector Classifier) is to fit to the data you provide, returni.....

Answer: The Hebbian Learning Rule is a learning rule that specifies how much the weight of the connection be.....

Answer: 'sgdm' — Use the stochastic gradient descent with momentum (SGDM) optimizer. Create a TrainingOpti.....

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Answer: K-nearest neighbors (KNN) algorithm is a type of supervised ML algorithm which can be used for both .....

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Answer: Tensor Virtual Machine or TVM is an open deep learning compiler stack to compile various deep learni.....

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Answer: Generalized linear models are a class of linear models which unify several widely used models, inclu.....

Answer: Mean Absolute Error (MAE): MAE measures the average magnitude of the errors in a set of predictions,.....

Answer: Unsupervised learning is a type of machine learning that looks for previously undetected patterns in.....

Answer: One deep learning approach, regions with convolutional neural networks (R-CNN), combines rectangular.....

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Answer: Hebbian theory is a neuroscientific theory claiming that an increase in synaptic efficacy arises fro.....

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Answer: An epoch is a term used in machine learning and indicates the number of passes of the entire trainin.....

Answer: In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural network.....

Answer: A deep neural network (DNN) is an artificial neural network (ANN) with multiple layers between the i.....

Answer: Stochastic Gradient Descent (SGD) is a simple yet very efficient approach to fitting linear classifi.....

Answer: Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in t.....

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Answer: Linear Discriminant Analysis (LDA) is most commonly used as dimensionality reduction technique in th.....

Answer: A recurrent neural network (RNN) is a class of artificial neural networks where connections between .....

Answer: Ensemble learning is the process by which multiple models, such as classifiers or experts, are strat.....

Answer: Supervised learning is the machine learning task of learning a function that maps an input to an out.....

Answer: Inquiry-based learning is a form of active learning that starts by posing questions, problems or sce.....

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Answer: In this chapter we introduce the Non-Negative Matrix Factorization (NMF), which is an unsupervised a.....

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Answer: Extreme learning machines are feedforward neural networks for classification, regression, clustering.....

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Answer: In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural network.....

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Answer: A Gaussian mixture model (GMM) is a category of probabilistic model which states that all generated .....

Answer: Machine learning (ML) is the study of computer algorithms that improve automatically through experie.....

Answer: scikit-learn: machine learning in Python. Scikit-learn is a free software machine learning library f.....

Answer: The Variance Inflation Factor (VIF) is a measure of colinearity among predictor variables within a m.....

Answer: An important machine learning method for dimensionality reduction is called Principal Component Anal.....

Answer: A multilayer perceptron (MLP) is a class of feedforward artificial neural network (ANN). Udacity Dee.....

Answer: A recurrent neural network (RNN) is a class of artificial neural networks where connections between .....

Answer: Those who are in Machine Learning or Data Science are quite familiar with the term SVM or Support Ve.....

Answer: The singular value decomposition (SVD) provides another way to factorize a matrix, into singular vec.....

Answer: Rote learning is a memorization technique based on repetition. Rote learning is a memorization techn.....

Answer: The Learning Vector Quantization algorithm (or LVQ for short) is an artificial neural network algori.....

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Answer: Recursive Feature Elimination, or RFE for short, is a feature selection algorithm. scikit-learn: mac.....

Answer: Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure .....