Data is powering this century. There is an abundance of data coming from the digitized world, IoT devices, voice assistants like Alexa & Siri, fitness trackers, medical sensors to name a few. Data Science is becoming the center of growth hustling sectors like healthcare, logistics, customer service, banking, finance., etc. AI…

Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain

Introduction

This blog highlights different ML algorithms used in blockchain transactions with a special emphasis on bitcoins in retail payments. This blog is structured as follows:

• Overview of the role of blockchain in the retail industry.
• Different traditional…

There are a lot of on-going controversies on the impact of Artificial Intelligence on designing and development. While, designing is a bit of a complex process; as the humans only have the capability to set the context and create what the user’s really are looking for. But researchers and designers are constantly working on the technology in an attempt to find out how AI will affect the future of designing industry. …

You can also fork the Jupyter notebook on Github here!

The goal of this post/notebook is to go from the basics of data preprocessing to modern techniques used in deep learning. My point is that we can use code (Python/Numpy etc.) to better understand abstract mathematical notions! Thinking by…

Machine Learning is all about creating an artificial brain to perform a task by itself. In most cases that task is Prediction.

How to create a brain which can do predictions ?

1. Create a dumb brain ( technically its called as 'Model')
2. Tell your brain a story  (Datasets…

Regressions are widely used to estimate relations between variables or predict future values for a certain dataset.

If you want to know how much of variable "x" interferes with…

Here is a list of top Python Machine learning projects on GitHub. A continuously updated list of open source learning projects is available on Pansop.

scikit-learn

scikit-learn is a Python…

Developing machine learning solutions that give a lift from your existing prediction algorithms is not an easy task. They require a multitude of activities to get it right including cleaning up the data, setting up the infrastructure, testing &re-testing the model & finally deploying the algorithm.

Here are five machine learning services that can help…