7 Steps to Ensure and Sustain Data Quality
Several years ago, I met a senior director from a large company. He mentioned the company he worked for was facing data quality issues that eroded customer satisfac...
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Decision Tree vs Random Forest vs Gradient Boosting Machines: Explained Simply
Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three methods are similar, with a s...
An elegant way to represent forward propagation and back propagation in a neural network
Sometimes, you see a diagram and it gives you an ‘aha ha’ moment Here is one representing forward propagation and back propagation in a neural network I saw it on Fre...
Best Machine Learning Tools to Modernize your Software Development
In the current scenario, when developers get immersed in the discussion about making use of machine learning, they are limited to creating AI-powered applications and the...
US Arrests: Hierarchical Clustering using DIANA and AGNES
Introduction Data Science and Machine Learning are furtive, they go un-noticed but are present in all ways possible and everywhere. They contribute significantly in all t...
Boosting Trading Models with Sagemaker and Essentia
Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination will...
Comparing Model Evaluation Techniques Part 3: Regression Models
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques In ...
The missing link for IoT – the Cloud
Introduction IoT (Internet of Things) has not quite taken off yet as envisaged – Will the cloud overcome the shortcomings of IoT? I believe that the Cloud is t...
First steps with leading data visualization programs.
Article was originally published on author’s blog, here. Learning to use data visualization programs Imagine spending countless hours analyzing your data and findin...
Logisitic Regression
Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model the proba...