Data Science Austria

This article looks at one of the most powerful and state of the art algorithms in Reinforcement Learning (RL), Twin Delayed Deep Deterministic Policy Gradients (TD3)( Fujimoto et al., 2018). By the end of this article you should have a solid understanding of what makes TD3 perform so well, be

Bluegill Fish — Predicting length from age Fish get bigger as they get older. How predictive is fish length (cm) with age (yr) as our independent variable? Is the relationship best fit with a linear regression? Source of original data: Penn State. — — — — — — — — — — — — — — — — — — — — — — — — — — — — — – First, let’s bring in the data and a few

Read all the parts here: Part 1, Part-1b, Part 2. In the last article we talked about the building blocks of a knowledge-graph, now we will go a step further and learn the basic concepts, technologies and languages we need to understand to actually build it. Table of Contents Introduction https://towardsdatascience.com/the-data-fabric-for-machine-learning-part-1-2c558b7035d7 In the

Learn how to build a state-of-the-art image classifier in no time with fastai I recently took a peek into Jeremy Howard’s 2019 course on deep learning. I never used the Fastai library before so I was pretty amazed by its level of abstraction that allows you to create stage-of-the-art neural networks

This essay introduces a deep learning framework for creating autonomous agents within the game simulator An Agent Learning a Match to Sample Task using Neurostudio Modern game engines with their high-fidelity representations of physics and visual environments have emerged as a viable simulator for training many kinds of embodied AI.

Josh Pohlkamp-Hartt shares five tips he used to land his dream role at the Boston Bruins The Boston Bruins are the fifth most valuable NHL franchise, valued at almost $1B by Forbes. With six Stanley cup victories, the team is able to produce over $200m in annual revenue. Josh Pohlkamp-Hartt has

Ensemble is a Latin-derived word which means ‘union of parts’. The regular classifiers that are used often are prone to make errors. As much as these errors are inevitable they can be reduced with the proper construction of a learning classifier. Ensemble learning is a way of generating various base

Doing cool things with data! Introduction Cancer is one of the deadliest diseases faced by mankind since ancient times. Almost 30% of the population of the world succumbs to cancer every year. If the tumour is detected in early stages , the chances of survival increase drastically. Deep Learning (CNN) has