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DIM: Learning Deep Representations by Mutual Information Estimation and Maximization
Author(s): Sherwin Chen Originally published on Towards AI. Encoder Network Source: Pixabay This is our second article of the series about mutual information. In the previous articles, we have seen how to maximizes the mutual information between two variables via the MINE …
The Basics of Recurrent Neural Networks (RNNs)
Author(s): Ben Khuong Originally published on Towards AI. Top highlight Machine Learning Table of contents What are RNNs used for? What are RNNs and how do they work? A trivial example — forward propagation, backpropagation through time One major problem: vanishing gradients …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Originally published on Towards AI. Top highlight Machine Learning, Programming, Python Update: I am overwhelmed by the positive feedback this writeup has received, especially by people in the AI community I look up to. I am also grateful to …
Introduction
Author(s): Manish Nayak Originally published on Towards AI. An Introduction to Pix2Pix cGANs U+007C Towards AI Pix2Pix Network, An Image-To-Image Translation Using Conditional GANs (cGANs) Pix2Pix network is basically a Conditional GANs (cGAN) that learn the mapping from an input image to …
Understanding The simple Mathematics Behind Simple Linear Regression
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. How to verify if a Linear Relationship exists between two variables. Not a lot of people like Maths and for good reasons. I’m not exactly fond of it, but I try to keep …
Attention Please: Document Classification
Author(s): Jon-Ross Presta Originally published on Towards AI. Top highlight The current state of Deep Learning practices is fascinating to me because there are interesting likenesses between the way that we humans process images and text, and the algorithms we employ to …
What is SVM?
Author(s): Dhilip Subramanian Originally published on Towards AI. Top highlight Machine Learning Support Vector Machine (SVM): A Simple Visual Explanation — Part 1 SVM is a supervised classification method that separates data using hyperplanes. SVM is a supervised machine learning algorithm is …
An Introduction to Time-series Analysis Using Python and Pandas
Author(s): Oscar Arzamendia Originally published on Towards AI. Assumptions Very recently I had the opportunity to work on building a sales forecaster as a POC. It was a challenging project with a cool MVP as an outcome, and through this post, I …
Essential Math Skills for Machine Learning
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Top highlight Before discussing the 4 math skills needed in machine learning, let’s first of all describe the machine learning process. The machine learning process includes 4 main stages: 1. Problem Framing: …
5 Steps to Become a Data Scientist
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Essential Skills That Every Data Scientist Should Have in His Skills Set Toolbox Data Scientist image. Source: www.quora.com Data Science is such a broad field that includes several subdivisions like data preparation …
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