Common Applications of Machine Learning for Small-Scale Businesses
When I first heard about machine learning (ML), I thought only big companies applied it to explore big data. On searching the internet for the meaning of ML, I discovered...
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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...
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...
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...
Statistical Hypothesis Testing – Spinning The Wheel
Knowing when and how to choose the right statistical hypothesis test is no mean feat. It can takes years of learning and practice before you get comfortable with it. Fort...
How Can Python Help Solve Machine Learning Challenges?
Summary: Python’s open-source and high-level nature, as well as its comprehensive libraries, make it the perfect fit to solve the numerous real-life ML challenges. The ...
Measuring Progress Toward AGI Is Hard
Summary: Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’r...