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Weekly Selection

How to train your own Object Detector with TensorFlow's Object Detector API

By Dat Tran – 8 min read.

This is a follow-up post on "Building a Real-Time Object Recognition App with Tensorflow and OpenCV" where I focus on training my own classes.


Impact Of Artificial Intelligence And Machine Learning on Trading And Investing

By Michael Harris – 8 min read.

Below are excerpts from a presentation I gave a few months ago in Europe as an invited speaker to a group of low profile but high net worth investors and traders.


Neural Networks and The Future of 3D Procedural Content Generation

By Sam Snider-Held – 8 min read.

As a Creative Technologist at MediaMonks, a global production agency, people are always asking me about ML, AI, Neural Networks, etc. What are they?What can they do? How can we use them?


How do we teach a machine to program itself ? – NEAT learning.

By Murat Vurucu – 5 min read.

In this post, I will try to explain a method of machine learning called Evolving Neural Networks through Augmenting Topologies (NEAT).


GANs N’ Roses

By Naresh Nagabushan – 10 min read.

Imagine one day wherein we had a neural network which could watch movies and generate it’s own movies, or listen to songs and compose new ones.


A Basic Model for Machine Learning – an overview

By gk_ – 10 min read.

The most common forms of ‘machine learning’ in software today are algorithms that can learn from and make predictions on data.


Experiments with the CM1K Neural Net Chip

By Noah Moroze – 11 min read.

In March 2017 I received funding from the MIT Sandbox program to build a product using the CM1K neural network chip.


Bayesian Neural Networks with Random Inputs for Model Based Reinforcement Learning

By José Miguel Hernández Lobato – 9 min read.

The key contribution is in our models: Bayesian neural networks with random inputs, whose input layer contains both input features but also random variables which are propagated forward through the network and transformed into an arbitrary noise signal at the output layer.


Data Science Simplified: Hypothesis Testing

By Pradeep Menon – 7 min read.

Application of hypothesis testing is predominant in Data Science. It is imperative to simplify and deconstruct it. Like a crime-fiction story, hypothesis testing, based on data, leads us from a novel suggestion to an effective proposition.


Predicting Logic’s Lyrics With Machine Learning

By Hans Kamin – 9 min read.

Logic has been a remarkable influence on my life since middle school, when I heard his song "All I Do" for the first time.


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