List of Blog Posts

Convolution and Deconvolution Revisited

Numeric Representation of Text: CountVectorizer to HashingVectorizer

Semi-Supervised Clustering with K-means

How Similar are Two Clustering Results

How to Build a Labelled Training Data Set with a Few Labelled Examples

How to Perform Regression with more Predictors than Observations

Dimensionality Reduction via Linear Discriminant Analysis

Principal Component Analysis (PCA) Explained with Examples

Machine Learning 2 Deep Learning

Understanding Tensors and Tensor Decompositions: Part 3

Understanding Tensors and Tensor Decompositions: Part 2

Understanding Tensors and Tensor Decompositions: Part 1

K-Means Demonstration using Excel

Faulty LED Display Digit Recognition: Illustration of Naive Bayes Classifier using Excel

Deconvolution in Deep Learning

Bollywood Lyrics via Recurrent Neural Networks

Autoencoders: Sparse and Deep

Topic Modeling and Document Clustering; What’s the Difference?

What is NMF and what can you do with it?

Deep Learning and Feature Engineering

A Comparison of Three Sentiment Analysis APIs using Blockspring for Excel

Monitor Your Favorite Stock’s Sentiment Through Two Formulas in a Spreadsheet and More

How to Use Words Co-Occurrence Statistics to Map Words to Vectors

Words as Vectors

Word Similarity, Google Distance, and Baseball and Cricket

Using the Named Entity Recognition Module in Azure ML Studio

Building Predictive Models with Azure Machine Learning Studio

K-means and K-mediods Clustering

Generating Descriptors for Comparing Writing Styles using Text Functions

Text Mining

A Bunch of Weak Classifiers working together can outperform a single strong classifier

Information Retrieval Vs. Data Retrieval

Good Representation Can Ease Learning

Data Mining, Machine Learning, and Pattern Recognition

Social Media and Banking

Data, Information and Knowledge

Best Split Doesn’t Necessarily Produce the Best Decision Tree