Machine Learning

UK is the first and only country formally to leave the EU, after 47 years. The European single market, it left is centre around “four freedoms” namely free movement in goods, services, people, and capital. Experts have made known that movement of services and people have both been lost through this exit.In this article, we use some selected variables from the 2020 Stock … [Read more...] about Are there differences between Developers in Germany and United Kingdom?

Photo by Isaac Smith on UnsplashData Visualization is very important in data analysis and machine learning, it allows us to have a better understanding about the pattern of some variables in our data, conclude some correlation between multiple variables, and eventually we can take the right decision based on that.In this story, I will present how to create basic diagrams in … [Read more...] about The Quickest Guide to Data Visualization in Python using Matplotlib

Photo by Jeffrey Brandjes on UnsplashIn the last post on Hidden Markov models (HMM), we never solved the problem of finding the most probable sequence of coins used. If you didn’t read the post on HMMs, I would highly encourage you to do so. For those of you who did not, I’ll outline the problem. Let’s say some guru came up to you and told you to pick a coin from a bag (there … [Read more...] about Intro to the Viterbi Algorithm

The genetic algorithm is a stochastic global optimization algorithm. It may be one of the most popular and widely known biologically inspired algorithms, along with artificial neural networks. The algorithm is a type of evolutionary algorithm and performs an optimization procedure inspired by the biological theory of evolution by means of natural selection with a binary … [Read more...] about Simple Genetic Algorithm From Scratch in Python

For this article, I’m assuming that you know the basics of the Perceptron algorithm.Linear models often serve the purpose of modeling data well, but sometimes it is not enough. To be more concrete, I will introduce the topic with an example:Suppose that we are dealing with a simple feature vector that lives on the real line. in other words:For the sake of simplicity, let’s … [Read more...] about Non-Linear Models: High Order Feature Vectors and Kernel Functions.

Ray is a popular framework for distributed Python that can be paired with PyTorch to rapidly scale machine learning applications.Authors: Michael Galarnyk, Richard Liaw, and Robert NishiharaMachine learning today requires distributed computing. Whether you’re training networks, tuning hyperparameters, serving models, or processing data, machine learning is computationally … [Read more...] about Getting Started with Distributed Machine Learning with PyTorch and Ray

Machine Learning Stack for Enterprise MLsource: https://pixabay.com/illustrations/devops-business-process-improvement-3148393/Starting my journey with Machine Learning models, I quickly realized the need to deploy, monitor, enhance and extend these models in an Enterprise settingDrawing a parallel with API — phenomenon, this was natural, but confusing at the same time. Some of … [Read more...] about Machine Learning Stack for Enterprise ML

Now we have understood machine learning bias seen the drastic impact it could have on our lives. Let us understand what the different types of biases or the different factors causing machine learning bias are.Data BiasSuppose certain elements of a dataset are more heavily weighted and/or represented than others. Then the resulting machine learning bias could be attributed to … [Read more...] about How to reduce machine learning bias

We will create a complete project trying to predict customer spending using linear regression with Python.Image by rupixen.comIn this exercise, we have some historical transaction data from 2010 and 2011. For each transaction, we have a customer identifier (CustomerID), the number of units purchased (Quantity), the date of purchase (InvoiceDate) and the unit cost (UnitPrice), … [Read more...] about Building A Linear Regression Model That Predicts Retail Customer Spending

On my first work trip to Jakarta 14 January 2016 for Grab, multiple terrorist bombs exploded a couple of miles from the GrabBike office where I had just arrived. People were fleeing cafes and restaurants around the attack site. My new colleagues were shaken, glad to be safe, looking to help. There was news of crowds on the streets trying to get away, confirmed by a spike in … [Read more...] about Surge Pricing, Artificial Intelligence, and Responsibility « Machine Learning Times