AI, Drones and Game Theory For Smart Wildlife Conservation

Background As the human population keeps booming, our actions are pushing life on our shared planet towards mass extinction. Human activity is causing extinctions at the rate of centuries versus the millions of years that take for natural extinctions. Poaching is playing a huge role in this human lead devastation and the numbers for some species...

Understanding Word Embeddings

How is Google Translate able to understand text and convert it from one language to another? How do you make a computer understand that in the context of IT Apple is a company and not a fruit? Or how is a Smart-Keypad able to predict the most likely next few words that you are going...

Time Series Forecasting, the easy way! Let’s analyze Microsoft’s stocks

Introduction Time series forecasting and understanding time based patterns have many important applications. However, it is a territory often left unexplored, especially by ML practitioners, because of its relative complexity. To help people with domain knowledge, but without much expertise in creating statistical forecasting model, Facebook decided to come to rescue. And we will see...

Click-Through Rate (CTR) Prediction using Decision Trees

1. Introduction In this tutorial, we will try to predict click-through rate of ads with the Decision Tree algorithm we learnt in the last post. Before continuing, I would recommend you to first read that post for a theoretical understanding of Decision Trees. What does Click-Through Rate Prediction mean? Let's assume that you are designing...

Understanding Decision Trees

Tree based algorithms are among the most common and best supervised Machine Learning algorithms. Decision Trees follow a human-like decision making approach by breaking the decision problem into many smaller decisions.  As opposed to black-box models like SVM and Neural Networks, Decision Trees can be represented visually and are easy to interpret. How is decision...

Satellite Images, Machine Learning and Poverty

The power of AI for social good — a topic not discussed enough In the developed countries predictive AI is already at work tracking crime, revolutionizing healthcare and transport industries. But if we look at the developing world, we see a whole different magnitude of issues. So many people are still struggling with issues such...

A dataset and a ML problem, what should you do? An end-to-end example with housing dataset from Kaggle

In this post, we will deconstruct the basics of working with a dataset to solve ML problems. This first part of this post gives a quick overview of the general workflow needed to work with ML problems. The second part comprises of a practical end-to-end example in Python. Part 1 The process of working with...

Machine Learning Algorithms 101

This blog post is for the newbies who want to quickly understand the basics of the most popular Machine Learning algorithms. I am assuming that you have read the previous article regarding types or categories of algorithms. If not, I would suggest you to read that first. In this quick tour you will learn about:...

Introduction to Machine Learning

What is Machine Learning? Machine Learning is the science of teaching computers to learn from data. In Arthur Samuel's words: "Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed." Basically, the core idea in Machine Learning is that there are generic algorithms that can tell you...