This course is part of the Applied Data Science with Python Specialization What you will learn Describe how machine learning is different than descriptive statistics Explain different approaches for creating predictive models Build features that meet anal… Read more
Similar
The annual machine learning (ML) security evasion competition invites ML practitioners and security researchers to compete against their peers in two separate tracks: the defender challenge and the attacker challenge. (more…)
Read more »
TDA and Machine Learning both benefit from the other. This post by Ayasdi co-founder Harlan Sexton talks specifically about how Random Forest can perform better with TDA and vice versa. (more…)
Read more »
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading - stefan-jansen/machine-learning-for-trading... (more…)
Read more »
This talk was part of the preface event of the ECMLPKDD Teaching Machine Learning workshop. https://teaching-ml.github.io/2020/#preface-satellite-event---sep... (more…)
Read more »
