How to do Cost-Sensitive LearningBe right in classification modeling when it matters mostJoe Tenini, PhDBlockedUnblockFollowFollowingFeb 25IntroductionData Science teams must often walk…
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Accuracy Trap! Pay Attention to Recall, Precision, F-Score, AUC
Pay Attention to Recall, Precision, F-Score, AUCHaydar ÖzlerBlockedUnblockFollowFollowingFeb 25The article contains examples to explain accuracy, recall, precision, f-score, AUC concepts. Assume…
Continue ReadingHow companies use collaborative filtering to learn exactly what you want
Whether it’s that new set of speakers that you’ve been eyeballing, or the next Black Mirror episode — their use of predictive…
Continue ReadingA Neural Implementation of NBSVM in Keras
A Neural Implementation of NBSVM in KerasArun MaiyaBlockedUnblockFollowFollowingJan 30NBSVM is an approach to text classification proposed by Wang and Manning¹ that…
Continue ReadingA Gentle Introduction to Deep Learning : Part 3
A Gentle Introduction to Deep Learning : Part 3PCA & Linear Algebra(Advance)Akshat JainBlockedUnblockFollowFollowingJan 27Photo by Antoine Dautry“You can’t build great building on a…
Continue ReadingVisualizing Principal Component Analysis with Matrix Transformations
Visualizing Principal Component Analysis with Matrix TransformationsA guide to understanding eigenvalues, eigenvectors, and principal componentsAndrew KrugerBlockedUnblockFollowFollowingJan 20Principal Component Analysis (PCA)…
Continue ReadingHow to do Deep Learning on Graphs with Graph Convolutional Networks
How to do Deep Learning on Graphs with Graph Convolutional NetworksPart 2: Semi-Supervised Learning with Spectral Graph ConvolutionsTobias Skovgaard JepsenBlockedUnblockFollowFollowingJan…
Continue ReadingPractical NumPy — Understanding Python library through its functions
Practical NumPy — Understanding Python library through its functionsKillol GovaniBlockedUnblockFollowFollowingJan 10Before embarking on the journey of data science and machine learning, it…
Continue ReadingSingular Value Decomposition with Example in R
Let’s see. When we decompose our matrix A into U, D, V then a few left-most columns of all three…
Continue ReadingBaffled by Covariance and Correlation??? Get the Math and the Application in Analytics for both the terms..
The values from PCA done using the correlation matrix are closer to each other and more uniform as compared to…
Continue ReadingSrishti Saha
Let us understand the correlation matrix and covariance matrixCovariance and correlation are two…Data Preparation and Preprocessing is just as important creating…
Continue ReadingConvolutional Neural Network
ANN Calculation for each layerwhere,x — is the input vector with dimension [p_l, 1]W — Is the weight matrix with dimensions [p_l, n_l] where, p_l…
Continue ReadingThe Mathematics Behind Principal Component Analysis
The whole process of obtaining principle components from a raw dataset can be simplified in six parts :Take the whole dataset…
Continue ReadingDemystifying ‘Confusion Matrix’ Confusion
Then you may consider additional metrics like Precision, Recall, F score (combined metric), but before diving in lets take a…
Continue ReadingChange of Basis
He arrives at the similarity transformation 11 minutes into the video.Ok, now that we all agree the change of basis…
Continue ReadingEarth coordinate system
To understand how to visualize the data we get from the device sensors, look at the image below.Form Android DevelopersWhen…
Continue ReadingLinear Algebra explained in the context of deep learning
on UnsplashIn this article, I have used top down manner to explain linear algebra for deep learning.First providing the applications and…
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