Deep Learning Series, P1: Basics of Neural Networks and Understanding Gradient Descent
This post consists of the following two sections: Section 1: Basics of Neural Networks Section 2: Understanding Backward Propagation and
How great products are made: Rules of Machine Learning by Google, a Summary
Google recently published some nuggets of ML wisdom, i.e., their best practices in ML Engineering. I believe that everyone should
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
Understanding Word Embeddings
How is Google Translate able to understand text and convert it from one language to another? How do you make
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. For example, you can forecast: The demand
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
Understanding Decision Trees
Tree based algorithms are among the most common and best supervised Machine Learning algorithms. Decision Trees follow a human-like 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
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
Machine Learning Algorithms 101
This blog post is for the newbies who want to quickly understand the basics of the most popular Machine Learning
